831 lines
30 KiB
TOML
831 lines
30 KiB
TOML
id = "collector"
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version = "1.0.0"
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name = "Collector Hand"
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description = "Autonomous intelligence collector — monitors any target continuously with change detection and knowledge graphs"
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category = "data"
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icon = "🔍"
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tools = [
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"shell_exec",
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"file_read",
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"file_write",
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"file_list",
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"web_fetch",
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"web_search",
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"memory_store",
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"memory_recall",
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"schedule_create",
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"schedule_list",
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"schedule_delete",
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"knowledge_add_entity",
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"knowledge_add_relation",
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"knowledge_query",
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"event_publish",
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]
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[routing]
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aliases = [
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"monitor changes",
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"track updates",
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"collect intelligence",
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"osint",
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"change detection",
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"gather info",
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"market intelligence",
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"competitive analysis",
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]
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weak_aliases = [
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"watch",
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"signals",
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"continuous monitoring",
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"surveillance",
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"intel",
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"news monitoring",
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]
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# ─── Configurable settings ───────────────────────────────────────────────────
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[[settings]]
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key = "target_subject"
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label = "Target Subject"
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description = "What to monitor (company name, person, technology, market, topic)"
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setting_type = "text"
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default = ""
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[[settings]]
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key = "collection_depth"
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label = "Collection Depth"
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description = "How deep to dig on each cycle"
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setting_type = "select"
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default = "deep"
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[[settings.options]]
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value = "surface"
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label = "Surface (headlines only)"
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[[settings.options]]
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value = "deep"
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label = "Deep (full articles + sources)"
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[[settings.options]]
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value = "exhaustive"
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label = "Exhaustive (multi-hop research)"
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[[settings]]
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key = "update_frequency"
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label = "Update Frequency"
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description = "How often to run collection sweeps"
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setting_type = "select"
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default = "daily"
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[[settings.options]]
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value = "hourly"
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label = "Every hour"
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[[settings.options]]
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value = "every_6h"
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label = "Every 6 hours"
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[[settings.options]]
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value = "daily"
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label = "Daily"
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[[settings.options]]
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value = "weekly"
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label = "Weekly"
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[[settings]]
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key = "focus_area"
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label = "Focus Area"
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description = "Lens through which to analyze collected intelligence"
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setting_type = "select"
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default = "general"
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[[settings.options]]
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value = "market"
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label = "Market Intelligence"
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[[settings.options]]
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value = "business"
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label = "Business Intelligence"
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[[settings.options]]
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value = "competitor"
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label = "Competitor Analysis"
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[[settings.options]]
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value = "person"
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label = "Person Tracking"
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[[settings.options]]
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value = "technology"
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label = "Technology Monitoring"
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[[settings.options]]
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value = "general"
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label = "General Intelligence"
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[[settings]]
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key = "alert_on_changes"
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label = "Alert on Changes"
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description = "Publish an event when significant changes are detected"
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setting_type = "toggle"
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default = "true"
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[[settings]]
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key = "report_format"
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label = "Report Format"
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description = "Output format for intelligence reports"
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setting_type = "select"
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default = "markdown"
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[[settings.options]]
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value = "markdown"
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label = "Markdown"
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[[settings.options]]
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value = "json"
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label = "JSON"
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[[settings.options]]
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value = "html"
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label = "HTML"
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[[settings]]
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key = "max_sources_per_cycle"
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label = "Max Sources Per Cycle"
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description = "Maximum number of sources to process per collection sweep"
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setting_type = "select"
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default = "30"
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[[settings.options]]
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value = "10"
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label = "10 sources"
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[[settings.options]]
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value = "30"
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label = "30 sources"
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[[settings.options]]
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value = "50"
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label = "50 sources"
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[[settings.options]]
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value = "100"
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label = "100 sources"
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[[settings]]
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key = "track_sentiment"
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label = "Track Sentiment"
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description = "Analyze and track sentiment trends over time"
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setting_type = "toggle"
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default = "false"
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[[settings]]
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key = "source_reliability_threshold"
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label = "Source Reliability Threshold"
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description = "Minimum source tier required to include a data point (lower tiers are discarded unless they are the sole source for a structural change)"
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setting_type = "select"
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default = "tier_3"
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[[settings.options]]
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value = "tier_1"
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label = "Tier 1 only (official/primary sources)"
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[[settings.options]]
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value = "tier_2"
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label = "Tier 2+ (institutional and above)"
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[[settings.options]]
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value = "tier_3"
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label = "Tier 3+ (professional and above)"
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[[settings.options]]
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value = "tier_4"
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label = "Tier 4+ (community and above)"
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[[settings.options]]
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value = "tier_5"
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label = "All sources (no filtering)"
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[[settings]]
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key = "change_significance_threshold"
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label = "Change Significance Threshold"
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description = "Minimum significance score (0-100) for a change to be classified as IMPORTANT. Changes below this threshold are classified as MINOR."
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setting_type = "select"
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default = "60"
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[[settings.options]]
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value = "40"
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label = "40 (more sensitive — more alerts)"
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[[settings.options]]
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value = "50"
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label = "50 (balanced)"
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[[settings.options]]
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value = "60"
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label = "60 (default)"
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[[settings.options]]
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value = "70"
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label = "70 (stricter — fewer alerts)"
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[[settings.options]]
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value = "80"
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label = "80 (very strict — only critical-level)"
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# ─── Agent configuration ─────────────────────────────────────────────────────
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[agents.main]
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coordinator = true
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name = "collector-hand"
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description = "AI intelligence collector — monitors any target continuously with OSINT techniques, knowledge graphs, and change detection"
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module = "builtin:chat"
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provider = "default"
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model = "default"
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max_tokens = 16384
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temperature = 0.3
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max_iterations = 60
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system_prompt = """You are Collector Hand — an autonomous intelligence collector that monitors any target 24/7, building a living knowledge graph and detecting changes over time.
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## Phase 0 — Platform Detection & State Recovery (ALWAYS DO THIS FIRST)
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Detect the operating system:
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```
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python -c "import platform; print(platform.system())"
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```
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Then recover state:
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1. memory_recall `collector_hand_state` — if it exists, load previous collection state
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2. Read the **User Configuration** for target_subject, focus_area, collection_depth, etc.
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3. file_read `collector_knowledge_base.json` if it exists — this is your cumulative intel
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4. knowledge_query for existing entities related to the target
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---
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## Phase 1 — Schedule & Target Initialization
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On first run:
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1. Create collection schedule using schedule_create based on `update_frequency`
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2. Parse the `target_subject` — identify what type of target it is:
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- Company: look for products, leadership, funding, partnerships, news
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- Person: look for publications, talks, job changes, social activity
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- Technology: look for releases, adoption, benchmarks, competitors
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- Market: look for trends, players, reports, regulations
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- Competitor: look for product launches, pricing, customer reviews, hiring
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3. Build initial query set (10-20 queries tailored to target type and focus area)
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4. Store target profile in knowledge graph
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On subsequent runs:
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1. Load previous query set and results
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2. Check what's new since last collection
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---
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## Phase 2 — Source Discovery & Query Construction
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Build targeted search queries based on focus_area:
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**Market Intelligence**: "[target] market size", "[target] industry trends", "[target] competitive landscape"
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**Business Intelligence**: "[target] revenue", "[target] partnerships", "[target] strategy", "[target] leadership"
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**Competitor Analysis**: "[target] vs [competitor]", "[target] pricing", "[target] product launch", "[target] customer reviews"
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**Person Tracking**: "[person] interview", "[person] talk", "[person] publication", "[person] [company]"
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**Technology Monitoring**: "[target] release", "[target] benchmark", "[target] adoption", "[target] alternative"
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**General**: "[target] news", "[target] latest", "[target] analysis", "[target] report"
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Add temporal queries: "[target] this week", "[target] 2025"
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---
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## Phase 3 — Collection Sweep
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For each query (up to `max_sources_per_cycle`):
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1. web_search the query
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2. For each promising result, web_fetch to extract full content
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3. Extract key entities: people, companies, products, dates, numbers, events
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4. Tag each data point with:
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- Source URL
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- Collection timestamp
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- Confidence level (high/medium/low based on source quality)
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- Relevance score (0-100)
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Apply source quality heuristics:
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- Official sources (company websites, SEC filings, press releases) = high confidence
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- News outlets (established media) = medium-high confidence
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- Blog posts, social media = medium confidence
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- Forums, anonymous sources = low confidence
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---
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## Phase 4 — Knowledge Graph Construction
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For each collected data point:
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1. knowledge_add_entity for new entities (people, companies, products, events)
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2. knowledge_add_relation for relationships between entities
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3. Attach metadata: source, timestamp, confidence, focus_area
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Entity types to track:
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- Person (name, role, company, last_seen)
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- Company (name, industry, size, funding_stage)
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- Product (name, company, category, launch_date)
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- Event (type, date, entities_involved, significance)
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- Number (metric, value, date, context)
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Relation types:
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- works_at, founded, invested_in, partnered_with, competes_with
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- launched, acquired, mentioned_in, related_to
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---
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## Phase 5 — Change Detection & Delta Analysis
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Compare current collection against previous state:
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1. Load `collector_knowledge_base.json` (previous snapshot)
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2. Classify each difference into one of three change categories:
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- **Structural change**: entity appeared/disappeared, relationship added/removed, organizational restructure (e.g., new subsidiary, person left company, product deprecated)
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- **Content change**: attribute value updated on an existing entity (e.g., funding amount increased, role title changed, version number bumped, pricing modified)
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- **Metadata change**: source count changed, confidence level shifted, last_seen timestamp updated, but the core fact is unchanged
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3. Deduplicate cross-source overlaps before scoring:
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- Normalize entity names (strip legal suffixes, lowercase, expand abbreviations)
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- If 2+ sources report the same fact about the same entity, merge into one data point with the highest confidence and list all source URLs
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- If sources conflict on a fact (e.g., different funding amounts), keep both entries and flag as "conflicting — requires resolution"
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4. Compute a significance score (0-100) for each change using this algorithm:
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- **Base score by category**: structural = 60, content = 40, metadata = 5
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- **Source reliability modifier**: Tier 1 (official/primary) = +20, Tier 2 (institutional) = +10, Tier 3 (professional) = +5, Tier 4-5 = +0
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- **Source freshness modifier**: published within 24h = +10, within 7d = +5, older than 30d = -10
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- **Corroboration modifier**: confirmed by 2+ independent sources = +10, single source only = +0, contradicted by another source = -15
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- **Focus area relevance**: change directly matches `focus_area` = +10, tangentially related = +0
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- Cap final score at 100, floor at 0
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5. Map significance score to alert tier using `change_significance_threshold` (default 60):
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- Score >= 80: CRITICAL — leadership change, acquisition, major funding (>$10M), product discontinuation, regulatory action
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- Score >= threshold (default 60): IMPORTANT — new product launch, partnership, hiring surge (>5 roles), pricing change, significant competitor move
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- Score < threshold: MINOR — blog post, minor update, conference mention, individual job posting
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6. Filter sources by `source_reliability_threshold` (default "tier_3"):
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- Discard data points where ALL supporting sources fall below the configured threshold tier
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- Exception: if a below-threshold source is the ONLY source for a structural change, keep it but downgrade confidence to "low" and flag for corroboration in the next cycle
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If `alert_on_changes` is enabled and any change scores CRITICAL:
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- event_publish with change summary including: entity name, change category, significance score, top source URL
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If `track_sentiment` is enabled:
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- Classify each source as positive/negative/neutral toward the target
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- Track sentiment trend vs previous cycle
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- Note significant sentiment shifts (score delta > 2 in one cycle) in the report
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---
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## Phase 6 — Report Generation
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Generate an intelligence report in the configured `report_format`:
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**Markdown format**:
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```markdown
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# Intelligence Report: [target_subject]
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**Date**: YYYY-MM-DD | **Cycle**: N | **Sources Processed**: X
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## Key Changes Since Last Report
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- [Critical/Important changes with details]
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## Intelligence Summary
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[2-3 paragraph synthesis of collected intelligence]
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## Entity Map
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| Entity | Type | Status | Confidence |
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|--------|------|--------|------------|
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## Sources
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1. [Source title](url) — confidence: high — extracted: [key facts]
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## Sentiment Trend (if enabled)
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Positive: X% | Neutral: Y% | Negative: Z% | Trend: [up/down/stable]
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```
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Save to: `collector_report_YYYY-MM-DD.{md,json,html}`
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---
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## Phase 7 — State Persistence
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1. Save updated knowledge base to `collector_knowledge_base.json`
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2. memory_store `collector_hand_state`: last_run, cycle_count, entities_tracked, total_sources
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3. Update dashboard stats:
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- memory_store `collector_hand_data_points` — total data points collected
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- memory_store `collector_hand_entities_tracked` — unique entities in knowledge graph
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- memory_store `collector_hand_reports_generated` — increment report count
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- memory_store `collector_hand_last_update` — current timestamp
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---
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## Guidelines
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- NEVER fabricate intelligence — every claim must be sourced
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- Cross-reference critical claims across multiple sources before reporting
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- Clearly distinguish facts from analysis/speculation in reports
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- Respect rate limits — add delays between web fetches
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- If a source is behind a paywall, note it as "paywalled" and extract what's visible
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- Prioritize recency — newer information is generally more valuable
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- If the user messages you directly, pause collection and respond to their question
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- For competitor analysis, maintain objectivity — report facts, not opinions
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"""
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[agents.scout]
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invoke_hint = "Web research and source gathering — fetching content, cross-referencing sources, and synthesizing information"
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name = "researcher"
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description = "Research agent. Fetches web content and synthesizes information for intelligence collection."
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module = "builtin:chat"
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provider = "default"
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model = "default"
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max_tokens = 4096
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temperature = 0.5
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system_prompt = """You are Researcher, an information-gathering agent within the Collector Hand.
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RESEARCH METHODOLOGY:
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1. DECOMPOSE — Break the research question into specific sub-questions.
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2. SEARCH — Use web_search to find relevant sources. Use multiple query phrasings.
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3. DEEP DIVE — Use web_fetch to read promising sources in full.
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4. CROSS-REFERENCE — Compare information across sources. Note agreements and contradictions.
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5. SYNTHESIZE — Combine findings into a clear, structured report.
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SOURCE EVALUATION:
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- Prefer primary sources over secondary
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- Note publication dates — flag if information may be outdated
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- Distinguish facts from opinions and speculation
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- When sources conflict, present both views with evidence
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Always cite your sources. Never present uncertain information as fact."""
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[agents.scholar]
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invoke_hint = "Academic and scholarly research — finding papers, literature reviews, and scientific evidence"
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name = "academic-researcher"
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description = "Academic research agent. Searches scholarly papers, summarizes findings, and generates literature reviews."
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module = "builtin:chat"
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provider = "default"
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model = "default"
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max_tokens = 8192
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temperature = 0.3
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system_prompt = """You are Academic Researcher, a scholarly research agent within the Collector Hand.
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RESEARCH METHODOLOGY:
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1. SCOPE — Clarify the research question. Define inclusion/exclusion criteria.
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2. SEARCH — Use academic queries (site:arxiv.org, site:scholar.google.com, site:pubmed.ncbi.nlm.nih.gov).
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3. RETRIEVE — Read full paper abstracts, methods, and conclusions via web_fetch.
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4. EVALUATE — Assess relevance, methodology rigor, sample size, peer-review status, and citation count.
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5. SYNTHESIZE — Organize findings thematically. Identify consensus, contradictions, and gaps.
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6. CITE — Maintain proper academic citations (APA-style by default).
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SOURCE HIERARCHY (strongest to weakest):
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- Systematic reviews and meta-analyses
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- Randomized controlled trials / large-scale empirical studies
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- Cohort and case-control studies
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- Cross-sectional studies and surveys
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- Case reports and expert opinions
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- Preprints (flag as not yet peer-reviewed)
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Always distinguish between correlation and causation. Report effect sizes when available."""
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[agents.localizer]
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invoke_hint = "Multi-language intelligence — translating foreign sources, cross-language research, and localized content gathering"
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name = "translator"
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description = "Multi-language translator. Translates foreign sources for cross-language intelligence gathering."
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module = "builtin:chat"
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provider = "default"
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model = "default"
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max_tokens = 8192
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temperature = 0.3
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system_prompt = """You are Translator, a multi-language intelligence specialist within the Collector Hand.
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Your role is to bridge language barriers in intelligence collection:
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1. TRANSLATE — Accurately translate foreign-language sources into the target language
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2. CONTEXTUALIZE — Provide cultural context for translated content
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3. SEARCH — Find sources in multiple languages to broaden intelligence coverage
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4. LOCALIZE — Adapt terminology and concepts for the target audience
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5. VERIFY — Cross-reference translated findings with sources in other languages
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GUIDELINES:
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- Preserve the original meaning and nuance in translations
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- Flag culturally specific terms that don't translate directly
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- Note the source language and any translation uncertainties
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- When sources exist in multiple languages, compare for consistency"""
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[dashboard]
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[[dashboard.metrics]]
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label = "Data Points"
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memory_key = "collector_hand_data_points"
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format = "number"
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[[dashboard.metrics]]
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label = "Entities Tracked"
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memory_key = "collector_hand_entities_tracked"
|
|
format = "number"
|
|
|
|
[[dashboard.metrics]]
|
|
label = "Reports Generated"
|
|
memory_key = "collector_hand_reports_generated"
|
|
format = "number"
|
|
|
|
[[dashboard.metrics]]
|
|
label = "Last Update"
|
|
memory_key = "collector_hand_last_update"
|
|
format = "text"
|
|
|
|
# ─── Token & Performance Metadata ─────────────────────────────────────────────
|
|
|
|
[metadata]
|
|
frequency = "continuous"
|
|
token_consumption = "high"
|
|
default_active = false
|
|
activation_warning = "Collector hand runs continuously and monitors targets, consuming tokens."
|
|
|
|
# ─── Internationalization (optional) ─────────────────────────────────────────
|
|
# All i18n sections are optional. Without them, the English values above are used.
|
|
# To localize, add [i18n.LANG] sections (e.g. zh, ja, ko, es, fr, de).
|
|
# Settings translations are also optional — omit to keep English labels.
|
|
|
|
# ─── Chinese (简体中文) ────────────────────────────────────────────────────
|
|
|
|
[i18n.zh]
|
|
name = "情报采集 Hand"
|
|
description = "自主情报采集智能体——持续监控目标，支持变更检测和知识图谱"
|
|
category = "数据"
|
|
|
|
[i18n.zh.settings.target_subject]
|
|
label = "监控目标"
|
|
description = "要监控的对象（公司名称、人物、技术、市场、话题）"
|
|
|
|
[i18n.zh.settings.collection_depth]
|
|
label = "采集深度"
|
|
description = "每个采集周期的挖掘深度"
|
|
|
|
[i18n.zh.settings.update_frequency]
|
|
label = "更新频率"
|
|
description = "执行采集扫描的频率"
|
|
|
|
[i18n.zh.settings.focus_area]
|
|
label = "关注领域"
|
|
description = "分析采集情报时的侧重角度"
|
|
|
|
[i18n.zh.settings.alert_on_changes]
|
|
label = "变更告警"
|
|
description = "检测到重大变更时发布事件通知"
|
|
|
|
[i18n.zh.settings.report_format]
|
|
label = "报告格式"
|
|
description = "情报报告的输出格式"
|
|
|
|
[i18n.zh.settings.max_sources_per_cycle]
|
|
label = "每周期最大来源数"
|
|
description = "每次采集扫描处理的最大来源数量"
|
|
|
|
[i18n.zh.settings.track_sentiment]
|
|
label = "情感追踪"
|
|
description = "分析并追踪随时间变化的情感趋势"
|
|
|
|
[i18n.zh.settings.source_reliability_threshold]
|
|
label = "来源可靠性阈值"
|
|
description = "纳入数据点所需的最低来源等级（低于阈值的来源将被丢弃，除非它是某一结构性变更的唯一来源）"
|
|
|
|
[i18n.zh.settings.change_significance_threshold]
|
|
label = "变更显著性阈值"
|
|
description = "变更被归类为「重要」的最低显著性分数（0-100），低于此阈值的变更归类为「次要」"
|
|
|
|
# ─── Japanese (日本語) ────────────────────────────────────────────────────
|
|
|
|
[i18n.ja]
|
|
name = "インテリジェンス収集 Hand"
|
|
description = "自律型インテリジェンス収集エージェント——変更検出とナレッジグラフによる対象の継続的監視"
|
|
category = "データ"
|
|
|
|
[i18n.ja.settings.target_subject]
|
|
label = "監視対象"
|
|
description = "監視する対象（企業名、人物、技術、市場、トピック）"
|
|
|
|
[i18n.ja.settings.collection_depth]
|
|
label = "収集深度"
|
|
description = "各収集サイクルでの調査の深さ"
|
|
|
|
[i18n.ja.settings.update_frequency]
|
|
label = "更新頻度"
|
|
description = "収集スキャンの実行頻度"
|
|
|
|
[i18n.ja.settings.focus_area]
|
|
label = "フォーカスエリア"
|
|
description = "収集したインテリジェンスを分析する際の視点"
|
|
|
|
[i18n.ja.settings.alert_on_changes]
|
|
label = "変更アラート"
|
|
description = "重大な変更が検出された場合にイベント通知を発行する"
|
|
|
|
[i18n.ja.settings.report_format]
|
|
label = "レポート形式"
|
|
description = "インテリジェンスレポートの出力形式"
|
|
|
|
[i18n.ja.settings.max_sources_per_cycle]
|
|
label = "サイクルあたりの最大ソース数"
|
|
description = "各収集スキャンで処理するソースの最大数"
|
|
|
|
[i18n.ja.settings.track_sentiment]
|
|
label = "センチメント追跡"
|
|
description = "時間の経過に伴うセンチメントの傾向を分析・追跡する"
|
|
|
|
[i18n.ja.settings.source_reliability_threshold]
|
|
label = "ソース信頼性しきい値"
|
|
description = "データポイントを採用するために必要な最低ソースティア（しきい値以下のソースは、構造的変更の唯一のソースでない限り除外されます）"
|
|
|
|
[i18n.ja.settings.change_significance_threshold]
|
|
label = "変更重要度しきい値"
|
|
description = "変更を「重要」に分類するための最低重要度スコア（0～100）。このしきい値以下の変更は「軽微」に分類されます"
|
|
|
|
# ─── Spanish (Español) ────────────────────────────────────────────────────
|
|
|
|
[i18n.es]
|
|
name = "Hand de Recopilación de Inteligencia"
|
|
description = "Recopilador autónomo de inteligencia — monitorea cualquier objetivo de forma continua con detección de cambios y grafos de conocimiento"
|
|
category = "Datos"
|
|
|
|
[i18n.es.settings.target_subject]
|
|
label = "Objetivo de monitoreo"
|
|
description = "Qué monitorear (nombre de empresa, persona, tecnología, mercado, tema)"
|
|
|
|
[i18n.es.settings.collection_depth]
|
|
label = "Profundidad de recopilación"
|
|
description = "Qué tan profundo investigar en cada ciclo"
|
|
|
|
[i18n.es.settings.update_frequency]
|
|
label = "Frecuencia de actualización"
|
|
description = "Con qué frecuencia ejecutar los barridos de recopilación"
|
|
|
|
[i18n.es.settings.focus_area]
|
|
label = "Área de enfoque"
|
|
description = "Perspectiva desde la cual analizar la inteligencia recopilada"
|
|
|
|
[i18n.es.settings.alert_on_changes]
|
|
label = "Alertar ante cambios"
|
|
description = "Publicar un evento cuando se detecten cambios significativos"
|
|
|
|
[i18n.es.settings.report_format]
|
|
label = "Formato de informe"
|
|
description = "Formato de salida para los informes de inteligencia"
|
|
|
|
[i18n.es.settings.max_sources_per_cycle]
|
|
label = "Máximo de fuentes por ciclo"
|
|
description = "Número máximo de fuentes a procesar por barrido de recopilación"
|
|
|
|
[i18n.es.settings.track_sentiment]
|
|
label = "Seguimiento de sentimiento"
|
|
description = "Analizar y rastrear las tendencias de sentimiento a lo largo del tiempo"
|
|
|
|
[i18n.es.settings.source_reliability_threshold]
|
|
label = "Umbral de fiabilidad de fuentes"
|
|
description = "Nivel mínimo de fuente requerido para incluir un dato (las fuentes por debajo del umbral se descartan, salvo que sean la única fuente de un cambio estructural)"
|
|
|
|
[i18n.es.settings.change_significance_threshold]
|
|
label = "Umbral de significancia de cambios"
|
|
description = "Puntuación mínima de significancia (0-100) para clasificar un cambio como IMPORTANTE. Los cambios por debajo se clasifican como MENORES."
|
|
|
|
# ─── French (Français) ────────────────────────────────────────────────────
|
|
|
|
[i18n.fr]
|
|
name = "Hand Collecteur de Renseignements"
|
|
description = "Collecteur autonome de renseignements — surveille toute cible en continu avec détection de changements et graphes de connaissances"
|
|
category = "Données"
|
|
|
|
[i18n.fr.settings.target_subject]
|
|
label = "Sujet cible"
|
|
description = "Objet de la surveillance (nom d'entreprise, personne, technologie, marché, sujet)"
|
|
|
|
[i18n.fr.settings.collection_depth]
|
|
label = "Profondeur de collecte"
|
|
description = "Niveau d'approfondissement à chaque cycle de collecte"
|
|
|
|
[i18n.fr.settings.update_frequency]
|
|
label = "Fréquence de mise à jour"
|
|
description = "Fréquence d'exécution des cycles de collecte"
|
|
|
|
[i18n.fr.settings.focus_area]
|
|
label = "Domaine d'intérêt"
|
|
description = "Angle d'analyse des renseignements collectés"
|
|
|
|
[i18n.fr.settings.alert_on_changes]
|
|
label = "Alerte sur changements"
|
|
description = "Publier un événement lorsque des changements significatifs sont détectés"
|
|
|
|
[i18n.fr.settings.report_format]
|
|
label = "Format de rapport"
|
|
description = "Format de sortie pour les rapports de renseignements"
|
|
|
|
[i18n.fr.settings.max_sources_per_cycle]
|
|
label = "Sources maximum par cycle"
|
|
description = "Nombre maximum de sources à traiter par cycle de collecte"
|
|
|
|
[i18n.fr.settings.track_sentiment]
|
|
label = "Suivi du sentiment"
|
|
description = "Analyser et suivre les tendances de sentiment au fil du temps"
|
|
|
|
[i18n.fr.settings.source_reliability_threshold]
|
|
label = "Seuil de fiabilité des sources"
|
|
description = "Niveau minimum de source requis pour inclure un point de données (les sources en dessous du seuil sont ignorées, sauf si elles sont la seule source d'un changement structurel)"
|
|
|
|
[i18n.fr.settings.change_significance_threshold]
|
|
label = "Seuil de significativité des changements"
|
|
description = "Score minimum de significativité (0-100) pour qu'un changement soit classé comme IMPORTANT. Les changements en dessous sont classés comme MINEURS."
|
|
|
|
# ─── German (Deutsch) ────────────────────────────────────────────────────
|
|
|
|
[i18n.de]
|
|
name = "Informationssammlungs-Hand"
|
|
description = "Autonomer Informationssammler — überwacht jedes Ziel kontinuierlich mit Änderungserkennung und Wissensgraphen"
|
|
category = "Daten"
|
|
|
|
[i18n.de.settings.target_subject]
|
|
label = "Zielobjekt"
|
|
description = "Was überwacht werden soll (Firmenname, Person, Technologie, Markt, Thema)"
|
|
|
|
[i18n.de.settings.collection_depth]
|
|
label = "Sammlungstiefe"
|
|
description = "Wie tief in jedem Sammlungszyklus recherchiert wird"
|
|
|
|
[i18n.de.settings.update_frequency]
|
|
label = "Aktualisierungshäufigkeit"
|
|
description = "Wie oft Sammlungszyklen ausgeführt werden"
|
|
|
|
[i18n.de.settings.focus_area]
|
|
label = "Fokusbereich"
|
|
description = "Perspektive für die Analyse der gesammelten Informationen"
|
|
|
|
[i18n.de.settings.alert_on_changes]
|
|
label = "Warnung bei Änderungen"
|
|
description = "Ein Ereignis veröffentlichen, wenn bedeutende Änderungen erkannt werden"
|
|
|
|
[i18n.de.settings.report_format]
|
|
label = "Berichtsformat"
|
|
description = "Ausgabeformat für Informationsberichte"
|
|
|
|
[i18n.de.settings.max_sources_per_cycle]
|
|
label = "Maximale Quellen pro Zyklus"
|
|
description = "Maximale Anzahl der pro Sammlungszyklus zu verarbeitenden Quellen"
|
|
|
|
[i18n.de.settings.track_sentiment]
|
|
label = "Stimmungsverfolgung"
|
|
description = "Stimmungstrends im Zeitverlauf analysieren und verfolgen"
|
|
|
|
[i18n.de.settings.source_reliability_threshold]
|
|
label = "Quellenzuverlässigkeitsschwelle"
|
|
description = "Mindeststufe einer Quelle, damit ein Datenpunkt aufgenommen wird (Quellen unterhalb der Schwelle werden verworfen, es sei denn, sie sind die einzige Quelle einer strukturellen Änderung)"
|
|
|
|
[i18n.de.settings.change_significance_threshold]
|
|
label = "Änderungssignifikanzschwelle"
|
|
description = "Mindestpunktzahl (0-100), ab der eine Änderung als WICHTIG eingestuft wird. Änderungen unterhalb werden als GERINGFÜGIG eingestuft."
|
|
|
|
# ─── Korean (한국어) ────────────────────────────────────────────────────
|
|
|
|
[i18n.ko]
|
|
name = "정보 수집 Hand"
|
|
description = "자율 정보 수집 에이전트 — 대상을 지속적으로 모니터링하며 변경 감지 및 지식 그래프 지원"
|
|
category = "데이터"
|
|
|
|
[i18n.ko.settings.target_subject]
|
|
label = "모니터링 대상"
|
|
description = "모니터링할 대상 (회사명, 인물, 기술, 시장, 주제)"
|
|
|
|
[i18n.ko.settings.collection_depth]
|
|
label = "수집 깊이"
|
|
description = "각 수집 주기의 조사 깊이"
|
|
|
|
[i18n.ko.settings.update_frequency]
|
|
label = "업데이트 빈도"
|
|
description = "수집 스캔 실행 주기"
|
|
|
|
[i18n.ko.settings.focus_area]
|
|
label = "관심 분야"
|
|
description = "수집된 정보를 분석하는 관점"
|
|
|
|
[i18n.ko.settings.alert_on_changes]
|
|
label = "변경 알림"
|
|
description = "중요한 변경 사항 감지 시 이벤트 알림 발행"
|
|
|
|
[i18n.ko.settings.report_format]
|
|
label = "보고서 형식"
|
|
description = "정보 보고서의 출력 형식"
|
|
|
|
[i18n.ko.settings.max_sources_per_cycle]
|
|
label = "주기당 최대 소스 수"
|
|
description = "수집 스캔당 처리할 최대 소스 수"
|
|
|
|
[i18n.ko.settings.track_sentiment]
|
|
label = "감성 추적"
|
|
description = "시간에 따른 감성 추세 분석 및 추적"
|
|
|
|
[i18n.ko.settings.source_reliability_threshold]
|
|
label = "소스 신뢰도 임계값"
|
|
description = "데이터 포인트를 포함하기 위해 필요한 최소 소스 등급 (임계값 미만의 소스는 구조적 변경의 유일한 소스가 아닌 한 제외됩니다)"
|
|
|
|
[i18n.ko.settings.change_significance_threshold]
|
|
label = "변경 중요도 임계값"
|
|
description = "변경을 '중요'로 분류하기 위한 최소 중요도 점수 (0-100). 이 임계값 미만의 변경은 '경미'로 분류됩니다"
|