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Acreadiness Policy

  • 2 installs
  • 37.5k repo stars
  • Updated August 5, 2026
  • github/awesome-copilot

acreadiness-policy skill documents Help the user pick, write, or apply an AgentRC policy.

About

acreadiness-policy skill documents 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,. name: acreadiness-policy description: '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.'

  • Help the user pick, write, or apply an AgentRC policy.
  • Platform-specific setup patterns for acreadiness-policy.
  • Evidence-backed steps from upstream SKILL.md.
  • When-to-use criteria for acreadiness-policy versus alternatives.

Acreadiness Policy by the numbers

  • 2 all-time installs (skills.sh)
  • Ranked #1,839 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

acreadiness-policy capabilities & compatibility

Capabilities
acreadiness policy quick start · acreadiness policy when to use guidance · acreadiness policy integration patterns
From the docs

What acreadiness-policy says it does

Use this skill when the user asks about **policies**, **strict mode**, **custom scoring**, **disabling checks**, **org standards**, or **CI gating** of readiness.
SKILL.md
npx skills add https://github.com/github/awesome-copilot --skill acreadiness-policy

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Listed on Skillselion
Installs2
repo stars37.5k
Last updatedAugust 5, 2026
Repositorygithub/awesome-copilot

How do I use acreadiness-policy correctly?

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 basel

Who is it for?

Teams implementing acreadiness-policy workflows from the catalog.

Skip if: Skip when requirements clearly match a different specialized stack.

When should I use this skill?

User asks about acreadiness-policy, help the user pick, write, or apply an agentrc policy. policies customise readiness scorin.

What you get

Working acreadiness-policy setup with validated configuration and next steps.

Files

SKILL.mdMarkdownGitHub ↗

/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).

new <name>

Scaffold policies/<name>.json with sensible defaults. Walk the user through: 1. What to disable — irrelevant pillars or extras for their stack (e.g. disable observability for a static site). 2. What to raise — override impact to high or critical for must-haves (e.g. readme, codeowners). 3. Pass-rate threshold — typical org baselines: 0.7 (lenient), 0.85 (standard), 1.0 (strict). 4. 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.json

CI 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 3

Advanced

JSON policies can disable, override, and set thresholds — 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 `impact` over disabling. Disabling hides the gap entirely; overriding lets it still appear in the report.
  • Recommend extras stay enabled. They cost nothing — they don't affect the score.
  • Suggest layering — most orgs want a baseline policy + per-team overrides chained with --policy a.json,b.json.

Related skills

FAQ

What does acreadiness-policy do?

acreadiness-policy skill documents Help the user pick, write, or apply an AgentRC policy.

When should I use acreadiness-policy?

User asks about acreadiness-policy, help the user pick, write, or apply an agentrc policy. policies customise readiness scorin.

Is this skill safe to install?

Review the Security Audits panel on this page before installing in production.

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