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AI EngineeringPython

AgentRC Policies

by github

AgentRC Policies is an AI Engineering skill for Claude Code, published by github in awesome-copilot.

37.8K stars4.8K forkson github/awesome-copilotAdded 2026/08/13Repository updated 2026/08/13
agent-skillsagentsaiawesomecustom-agentsgithub-copilothacktoberfestprompt-engineering
Install in seconds
Install AgentRC Policies
Copy AgentRC Policies into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/github/awesome-copilot/tree/main/skills/acreadiness-policy ~/.claude/skills/acreadiness-policy

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/github/awesome-copilot.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/acreadiness-policy/SKILL.md in github/awesome-copilot
Installs to
~/.claude/skills/acreadiness-policy
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What AgentRC Policies does

AgentRC Policies help you pick, write, or apply JSON policies that change readiness scoring by disabling checks, overriding impact or level, and setting pass-rate thresholds. Use it for strict mode, AI-only scoring, org standards, or CI gating.

AgentRC Policies is cataloged under AI Engineering on DirSkills. AgentRC Policies comes from a repository tagged agent-skills, agents, ai, awesome and custom-agents.

Documentation

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.

This is the opening of the README. Read the full README on GitHub.

Commands AgentRC Policies provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /acreadiness-policy

Frequently asked about AgentRC Policies

  • What else does github publish alongside AgentRC Policies?

    AgentRC Policies is one of 25 skills that DirSkills catalogs from github/awesome-copilot, the repository it ships in. Its siblings there include AI Prompt Engineering Safety Review, AI Readiness Assessment and AI Ready. Each one is a separate skill with its own page in this directory, installs the same way AgentRC Policies does, and is maintained by github in that same repository. The rest of the collection is listed on the github/awesome-copilot page.

  • How does AgentRC Policies compare to other AI Engineering skills?

    AgentRC Policies ranks #149 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AgentRC Policies against them. Open each page to compare what they document and how they install.

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