Agentic Repo Discovery

Find the reusable user workflows inside a repository before creating Plugin files.

Procedure

1. Read repository instructions and the main README first.
2. Run the bundled analyzer when filesystem execution is available:

python3 ../chatgpt-codex-plugin-autopilot/scripts/analyze_repo.py <target-repo> --json

3. Inspect high-scoring candidates in context. The analyzer finds signals; it does not understand the full product by itself.
4. Build a candidate disposition table using: preserve_skill, compile_skill, reference_only, runtime_dependency, internal_only, or discard.
5. Identify the user's repeatable job for every candidate. Reject candidates whose only value is repository maintenance trivia unless that is the intended Plugin product.
6. Flag secrets, organization-specific instructions, destructive operations, security-sensitive workflows, hidden telemetry, and policy-sensitive capabilities for explicit public-distribution review.
7. Recommend skills-only, MCP-backed, or hybrid from actual behavior. Treat .mcp.json or .app.json as evidence to inspect, not automatic proof that the public Plugin needs them.
8. Hand selected workflow candidates to workflow-to-skill-compiler and the overall product boundary to plugin-experience-architect.

Output

Return a concise conversion brief containing:

• repository/ref inspected
• reusable jobs discovered
• candidate dispositions with reasons
• architecture recommendation with confidence
• runtime dependencies
• public exclusions
• missing evidence
• next conversion actions

Do not generate Plugin configuration before this boundary is clear.