readiness

readiness is a skill for Claude Code, Codex from jrenaldi79/harness-engineering. It costs 62 tokens per session (4,266 once invoked), scanned B, original, MIT.

A readiness assessment procedure for checking whether a code repository is prepared for work by AI coding agents. It begins by inspecting project files, version control, and earlier assessment results.

In plain words
What is it for?
Use it to audit a repository, produce an AI-readiness report, review the current setup, and identify improvements before using coding agents.
Why use it?
It helps identify missing project conventions, checks, or documentation that could make agent-written changes unsafe or inconsistent.

Skill for Claude CodeCodex

Part of the harness-engineering plugin — 3 skills, 1 hook shipped together

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.

agentmods
npx agentmods add skills/jrenaldi79/harness-engineering/readiness
Any agent
npx skills add jrenaldi79/harness-engineering --skill readiness
Clone the repo
git clone --depth 1 https://github.com/jrenaldi79/harness-engineering

Made for: Claude Code, Codex.

Or install harness-engineering, the plugin that ships this one along with the rest of its 3 skills, 1 hook.

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 readiness

README.md
[![agentmods](https://agentmods.dev/badge/skills/jrenaldi79/harness-engineering/readiness.svg)](https://agentmods.dev/skills/jrenaldi79/harness-engineering/readiness)
Your own site
<a href="https://agentmods.dev/skills/jrenaldi79/harness-engineering/readiness"><img src="https://agentmods.dev/badge/skills/jrenaldi79/harness-engineering/readiness.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,266 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. Scan, not verified.
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 $0.00062 $0.04266
Opus 5 $0.00031 $0.02133
Sonnet 5 $0.00012 $0.00853
Haiku 4.5 $0.00006 $0.00427

Measured 4d ago against content hash 306e4a9820f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

readiness scanned grade B with 2 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 4d 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.

Reads agent configuration directorieslowAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

SKILL_DIR=$(find ~/.claude/plugins -path "*/readiness/SKILL.md" -print -quit | xargs dirname)

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- [ ] Deny list blocks destructive operations (rm -rf /, git push --force, git reset --hard, etc.)

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

skills/readiness/SKILL.md · 334 lines

How it starts

The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resource Resolution Preamble

Before any other step, resolve both the readiness skill's directory and the setup skill's resources:

SKILL_DIR=$(find ~/.claude/plugins -path "*/readiness/SKILL.md" -print -quit | xargs dirname)
SETUP_SKILL_DIR=$(find ~/.claude/plugins -path "*/setup/SKILL.md" -print -quit | xargs dirname)
SETUP_SCRIPTS=$SETUP_SKILL_DIR/scripts
SETUP_TEMPLATES=$SETUP_SKILL_DIR/templates
SETUP_REFERENCES=$SETUP_SKILL_DIR/references

If SKILL_DIR is empty, halt and tell the user: "Could not locate the readiness plugin directory under ~/.claude/plugins. Verify the plugin is installed."

If SETUP_SKILL_DIR is empty, halt and tell the user: "Could not locate the setup plugin directory. The readiness skill requires the setup skill to be installed as part of the same plugin."

The setup skill's files are references only — read them to understand what good enforcement looks like, but never blindly run install scripts on an existing project.


Phase 1: Detect Environment & Load Previous Report

Check the working directory for:

Manifest files: package.json, pyproject.toml, go.mod, Cargo.toml, CMakeLists.txt, Makefile

Git: .git/ exists

Existing agent config: CLAUDE.md, AGENTS.md, .claude/, .cursor/

Stack detection: Infer language, framework, and package manager from manifest contents.

Monorepo detection: Check for:

  • package.jsonworkspaces field
  • pnpm-workspace.yaml
  • Cargo.toml[workspace]
  • Go workspace (go.work)
  • Lerna (lerna.json), Nx (nx.json), Turborepo (turbo.json)

If monorepo: identify each app/package as a separate scoring unit.

Previous report: Check for readiness-report.md. If present, read the YAML frontmatter to enable delta comparison at the end.


Phase 2: Parallel Subagent Evaluation

Use subagents to keep the main context clean. Each subagent receives:

  1. The specific reference file paths it needs (resolved from the preamble)
  2. The project path to evaluate
  3. The stack info detected in Phase 1
  4. Its pillar criteria to evaluate (from Phase 3 below)
  5. Whether this is a monorepo and if so, the list of app/package paths

Read the full file on GitHub · 334 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. 4d ago First seen · 334 lines · 62 tokens per session scan B 306e4a9820f6

Subscribe to this mod's changes

readiness is a skill published in the GitHub repository jrenaldi79/harness-engineering (66 stars, last pushed 5mo ago), licensed MIT. It adds 62 tokens to every session and 4,266 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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