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.
Profile →npx skills add github/awesome-copilot --skill acreadiness-policy --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /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 ```jsonc { "name": "my-policy", "criteria": { "disable": ["env-example", "observability", "dependabot"], "override": { "readme": { "impact": "high", "level": 2 }, "lint-config": { "title": "Linter required" } } }, "extras": { "disable": ["pre-commit"] }, "thresholds": { "passRate": 0.9 } } ``` ### Impact weights | Impact | Weight | |---|---| | critical | 5 | | high | 4 | | medium | 3 | | low | 2 | | info | 0 | `Score =
- Built-in examples
- Policy schema
- Impact weights
- Sub-commands
- show
- new <name>
- apply <path-or-pkg>
- CI gating
- Advanced
- Operating rules
npx -y github:microsoft/agentrc readiness --json --policy ./org-baseline.json,./team-frontend.json
What does the acreadiness-policy skill do?
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.
How do I install it?
Run `npx skills add github/awesome-copilot --skill acreadiness-policy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.