acreadiness-policy

acreadiness-policy is a skill for Claude Code from boshi-xixixi/TraeSkill. It costs 73 tokens per session (999 once invoked), scanned A, original, MIT.

A configuration guide for AgentRC, a tool that scores how ready a repository is for development and AI tooling. Its policy files can turn checks on or off, change their importance, and set the pass rate required to succeed.

In plain words
What is it for?
Creating custom readiness policies, enabling strict or focused checks, setting organization and team standards, and gating CI builds on a required pass rate.
Why use it?
It lets teams adapt readiness checks to their own standards instead of accepting one fixed score. It can also make readiness checks enforceable in continuous integration.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is - run: npx -y github:microsoft/agentrc readiness --policy ./policies/strict.json --fail-level 3.

Good fit Creating custom readiness policies, enabling strict or focused checks, setting organization and team standards, and gating CI builds on a required pass rate.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/boshi-xixixi/TraeSkill
agentmods
npx agentmods add skills/boshi-xixixi/traeskill/acreadiness-policy

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for acreadiness-policy

README.md
[![agentmods](https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/acreadiness-policy/github.svg)](https://agentmods.dev/skills/boshi-xixixi/traeskill/acreadiness-policy)
Your own site
<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/acreadiness-policy"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/acreadiness-policy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for acreadiness-policy

Your own site · 80×15
<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/acreadiness-policy"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/acreadiness-policy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 999 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.00999
Opus 5 $0.00036 $0.00500
Sonnet 5 $0.00015 $0.00200
Haiku 4.5 $0.00007 $0.00100

Measured 9d ago against content hash e563c5e334e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

acreadiness-policy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.trae/Skills/.agents/skills/acreadiness-policy/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/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

{
  "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 − (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"] }
    

Read the full file on GitHub · 97 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 97 lines · 73 tokens per session scan A e563c5e334e1

Subscribe to this mod's changes

acreadiness-policy is a skill published in the GitHub repository boshi-xixixi/TraeSkill (262 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 999 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.