Files
Evan Hu a8b7c9d08b feat: comprehensive registry improvements
Community docs:
- CODE_OF_CONDUCT.md (Contributor Covenant v2.1)
- SECURITY.md (vulnerability reporting policy)
- CHANGELOG.md (initial release notes)
- CODEOWNERS (per-type review ownership)

GitHub config:
- Issue templates: bug-report, pricing-correction, documentation
- FUNDING.yml (GitHub Sponsors)

Validation enhancements:
- Cross-reference check: hand [[requires]] → integration existence
- Routing alias collisions as warnings (errors with --strict)
- --strict flag to promote warnings to errors
- --type filter to validate single content type
- CI: add taplo format check and lychee link check jobs

Developer experience:
- Makefile with validate, fmt, and scaffold targets
- Scaffold templates for all 5 content types
- .pre-commit-config.yaml (trailing whitespace, TOML check, validate)
- docs/content-guide.md (naming, descriptions, prompts, decision guide)

Content quality:
- schema.toml: add last_verified field for model pricing
- CONTRIBUTING.md: add pricing verification guide with source links
2026-03-21 02:46:04 +09:00

2.1 KiB

Content Guide

Guidelines for contributing content to the LibreFang Registry.

Naming Conventions

  • Use lowercase, hyphenated names: my-agent, web-scraper, code-reviewer.
  • Agent/hand/skill directory names must match their name/id field in the TOML.
  • Provider and integration filenames must match their id field.

Writing Descriptions

  • Keep descriptions to 1-2 sentences. Lead with a verb.
  • Good: "Analyzes pull requests and suggests improvements."
  • Bad: "This is an agent that can be used to analyze pull requests."

System Prompts (Agents & Hands)

  • Start with a clear role statement: "You are X, responsible for Y."
  • Include specific instructions on behavior, not vague aspirations.
  • Define what the agent should not do (scope boundaries).
  • List tools it should use and when.
  • Aim for 100-500 words for agents, up to 1000 for complex hands.
  • Avoid repeating information already in the TOML metadata.

Agent vs Hand vs Skill

Type Use When
Agent Conversational, general-purpose, stateless Q&A or analysis.
Hand Multi-step workflow requiring tools (shell, files, APIs). Has settings, dashboard, requirements.
Skill Single focused task with defined inputs/outputs. Prompt-only or a short script.
  • If it needs shell_exec or external tools, it is probably a hand.
  • If it is a reusable prompt template with parameters, it is a skill.
  • If it is a conversational assistant for a domain, it is an agent.

Provider Entries

  • Include all models the provider offers that support chat completions.
  • Use accurate input_cost_per_m / output_cost_per_m (USD per million tokens).
  • Set tier honestly: frontier is reserved for the most capable models.
  • Always include context_window and max_output_tokens from official docs.

General Tips

  • Run make validate before submitting.
  • Run make fmt if you have taplo installed to keep TOML formatting consistent.
  • Check schema.toml for the full field reference.
  • Test scaffold output: make new-agent NAME=test-agent, verify, then delete.