What is contributor-ready?

A repository review and preparation tool for making a software project easier for outside developers to contribute to. It examines the actual codebase and can create project-specific documentation and GitHub community files.

Use it to audit repository health, create or improve contribution documentation, find useful contribution opportunities, and produce a readiness report.

It helps reveal what makes a repository difficult to understand or contribute to, without relying on generic templates. It also shows missing documentation, testing, security, and project-maintenance basics.

contributor-ready — Skill for Claude Code and Codex by himanshu231204

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add himanshu231204/agent-skills --skill contributor-ready

Clone the repo

git clone --depth 1 https://github.com/himanshu231204/agent-skills

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/himanshu231204/agent-skills/contributor-ready/github.svg)](https://agentmods.dev/skills/himanshu231204/agent-skills/contributor-ready)

Your own site

<a href="https://agentmods.dev/skills/himanshu231204/agent-skills/contributor-ready"><img src="https://agentmods.dev/badge/skills/himanshu231204/agent-skills/contributor-ready/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/himanshu231204/agent-skills/contributor-ready"><img src="https://agentmods.dev/badge/skills/himanshu231204/agent-skills/contributor-ready.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,085 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.

Model	Per session	Once invoked
Fable 5.1	$0.00052	$0.01085
Opus 5	$0.00026	$0.00543
Sonnet 5	$0.00010	$0.00217
Haiku 4.5	$0.00005	$0.00109

Measured 11d ago against content hash bdce24a4cc15, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

contributor-ready 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 11d 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.

skills/contributor-ready/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

contributor-ready

The universal AI coding agent skill for preparing repositories for open source contributors.

Analyze, document, and prepare any repository for open source contribution. This skill does not generate generic templates — it inspects your actual codebase and produces repository-specific artifacts.

Commands

Command	What It Does
`contributor-ready audit`	Analyze repository, produce readiness report (no file changes)
`contributor-ready generate`	Create only the files that are missing
`contributor-ready improve`	Enhance existing documentation in place
`contributor-ready issues`	Identify real contribution opportunities from code analysis
`contributor-ready full`	Audit, generate, issues, report — complete pipeline

Quick Start

Run contributor-ready full on this repository to make it contributor-ready.

How It Works

Analyze — Detect project type, languages, frameworks, tooling, and current open source readiness
Score — Rate six dimensions (Documentation, GitHub Community, CI/CD, Testing, Developer Experience, Security) using weighted scoring from reference.md
Generate — Create missing artifacts using templates and repository-specific content
Report — Produce a readiness report with scores, generated artifacts, and prioritized next steps

Safe Mode

Never overwrites existing files unless explicitly requested
Never generates placeholder content
Never assumes technology without detection
Always improves existing documentation when possible
Always produces repository-specific output

To regenerate an existing file, request it explicitly:

Regenerate the README.md for this repository.

Architecture

contributor-ready/
├── skill.md              # Entry point — this file
├── AGENT.md              # Agent orchestration and command routing
├── prompt.md             # System prompt for the skill
├── reference.md          # Detection, scoring, output format (single source of truth)
├── checklist.md          # Readiness scoring tables
├── validation.md         # Skill quality and maintenance checklists
├── changelog.md          # Improvement history
├── quality-report.md     # Quality assessment report
├── agents/               # Specialized agent instructions
│   ├── audit.md          # Repository analysis
│   ├── docs.md           # Documentation generation
│   ├── github.md         # GitHub community files
│   ├── issues.md         # Contribution opportunities
│   ├── architecture.md   # Architecture mapping
│   ├── roadmap.md        # Roadmap generation
│   ├── ci.md             # CI/CD workflows
│   ├── devex.md          # Developer experience
│   ├── release.md        # Release management
│   └── report.md         # Readiness report
├── templates/            # Reusable documentation templates
│   ├── README.md
│   ├── CONTRIBUTING.md
│   ├── CODE_OF_CONDUCT.md
│   ├── SECURITY.md
│   ├── SUPPORT.md
│   ├── ROADMAP.md
│   ├── CHANGELOG.md
│   ├── DEVELOPMENT.md
│   ├── ARCHITECTURE.md
│   ├── ISSUE_TEMPLATE.md
│   └── PR_TEMPLATE.md
├── examples/             # Technology-specific guides
│   ├── python.md
│   ├── fastapi.md
│   ├── react.md
│   ├── nextjs.md
│   ├── go.md
│   ├── rust.md
│   ├── cli.md
│   ├── library.md
│   └── chrome-extension.md
└── assets/               # Static assets and resources

Read the full file on GitHub · 115 lines

Files

What ships with it

39 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

11d ago First seen · 115 lines · 52 tokens per session scan A bdce24a4cc15

Subscribe to this mod's changes

contributor-ready is a skill published in the GitHub repository himanshu231204/agent-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 1,085 once invoked, about $0.0003 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 2026-08-31.

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contributor-ready

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

contributor-ready

Commands

Quick Start

How It Works

Safe Mode

Architecture

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

autoreview

omh-code-review

revdiff-plan

code-reviewer

full-repo-review

agent-teams-simplify-and-harden