{"id":"netresearch-agent-rules-skill","name":"agent-rules-skill","af_score":42.8,"security_score":19.5,"reliability_score":20.0,"what_it_does":"A packaged “agent skill” that helps AI coding agents generate and maintain AGENTS.md files (and optional scoped subsystem variants) according to the agents.md specification. It includes scripts/templates for detecting project structure and stack signals and then producing/updating the agent context files idempotently with managed headers.","best_when":"You want consistent, convention-based agent onboarding/context files across many repositories and languages, and you use agents that understand the agents.md / Agent Skills conventions (e.g., Claude Code/Cursor/Copilot skills or skill runners).","avoid_when":"You need an authenticated remote service/API, strict security/compliance guarantees around telemetry/data retention (not specified here), or tight control over tool execution beyond the repository-local scripts/templates.","last_evaluated":"2026-03-30T15:32:36.371531+00:00","has_mcp":false,"has_api":false,"auth_methods":[],"has_free_tier":false,"known_gotchas":["Skill keyword/trigger behavior is described at a high level; exact trigger phrases and how conflicts are resolved aren’t specified here.","Because it generates files, agents should ensure they don’t inadvertently commit undesired changes; the repo-local nature of updates may still cause diffs in agent-managed regions.","Idempotency quality depends on existing file structure matching expected conventions; unusual/manual AGENTS.md layouts may not preserve as intended."],"error_quality":0.0}