
acreadiness-policy
โ Officialโ 36,202by github ยท part of github/awesome-copilot
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.
This is the playbook your agent receives when the skill activates โ you don't need to read it to use the skill, but it's here to audit before installing.
/acreadiness-policy โ 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 โ criteria, extras, thresholds โ 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
{
"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 = 1 โ (deductions / max possible weight). Grades: A โฅ 0.9, B โฅ 0.8, C โฅ 0.7, D โฅ 0.6, F < 0.6.
Sub-commands
show
List policies currently in effect (from agentrc.config.json policies array, or none).
new <name>
Scaffold policies/<name>.json with sensible defaults. Walk the user through:
- What to disable โ irrelevant pillars or extras for their stack (e.g. disable
observabilityfor a static site). - What to raise โ override
impacttohighorcriticalfor must-haves (e.g.readme,codeowners). - Pass-rate threshold โ typical org baselines:
0.7(lenient),0.85(standard),1.0(strict). - Reference the policy from
agentrc.config.json:{ "policies": ["./policies/<name>.json"] }
apply <path-or-pkg>
Run agentrc readiness --json --policy <source> and re-render the report by handing off to the assess skill / ai-readiness-reporter agent. Supports chaining:
npx -y github:microsoft/agentrc readiness --json --policy ./org-baseline.json,./team-frontend.jsonCI gating
Combine policies with --fail-level to enforce a minimum maturity level in CI:
- run: npx -y github:microsoft/agentrc readiness --policy ./policies/strict.json --fail-level 3Advanced
JSON policies can disable, override, and set thresholds โ but cannot add new criteria. For new detection logic, point users at AgentRC's TypeScript plugin system (docs/dev/plugins.md).
Operating rules
- Never silently disable a pillar. If the user wants to disable
observability, confirm and explain the trade-off. - Prefer overriding
impactover disabling. Disabling hides the gap entirely; overriding lets it still appear in the report. - Recommend extras stay enabled. They cost nothing โ they don't affect the score.
- Suggest layering โ most orgs want a baseline policy + per-team overrides chained with
--policy a.json,b.json.
npx skills add github/awesome-copilot --skill "acreadiness-policy" --full-depthRun this in your project โ your agent picks the skill up automatically.
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.
Licensed under MITโ you can use, modify, and redistribute it under that license's terms.
View the full license file on GitHub โ