acreadiness-policy
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
Install
git clone https://github.com/github/awesome-copilot /tmp/awesome-copilot && ln -s /tmp/awesome-copilot/skills/acreadiness-policy ~/.claude/skills/acreadiness-policyFrom README
/acreadiness-policy — AgentRC policies Use this skill when the user asks about policies, strict mode, custom scoring, disabling checks, org standards, or CI gating of readiness. A policy is a small JSON file with three optional sections — criteria, extras, thresholds — that customise how AgentRC scores readiness. Built-in examples AgentRC ships with three example policies in examples/policies/: | Policy | What it does | |---|---| | strict.json | 100% pass rate, raises impact on key criteria | | ai-only.json | Disables all repo-health checks, focuses on AI tooling | | repo-health-only.json | Disables AI checks, focuses on traditional quality | Recommend these as starting points before writing a custom policy. Policy schema Impact weights | Impact | Weight | |---|---| | critical | 5 | | high | 4 | | medium | 3 | | low | 2 | | info | 0 | Score = 1 − (deductions / max possible weight). Grades: A ≥ 0.9, B ≥ 0.8, C ≥ 0.7, D ≥ 0.6, F Scaffold policies/ .json with sensible defaults.
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