Skills

Acreadiness Policy

Help the user pick, write, or apply an AgentRC policy.

Install

npx skills add github/awesome-copilot --skill acreadiness-policy -g -a claude-code -y
Repository
github/awesome-copilot40.7k
Category
Writing
Updated
6d ago
License
MIT
Context cost
Lightabout 808 tokens
Runs scripts
No, instructions only

What it does

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.

/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/:

PolicyWhat it does
strict.json100% pass rate, raises impact on key criteria
ai-only.jsonDisables all repo-health checks, focuses on AI tooling
repo-health-only.jsonDisables 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

ImpactWeight
critical5
high4
medium3
low2
info0

Score = 1 − (deductions / max possible weight). Grades: A ≥ 0.9, B ≥ 0.8, C ≥ 0.7, D ≥ 0.6, F < 0.6.

Sub-commands

show

List policies currently in effect (from agentrc.config.json policies array, or none).

Read the whole SKILL.md on GitHub

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