production-readiness-review

production-readiness-review is a skill for Claude Code from Security-Phoenix-demo/security-skills-claude-code. It costs 242 tokens per session (2,212 once invoked), scanned A, original, MIT.

An adversarial check of a real codebase against its PRD, plan, or implementation plan to decide whether it is complete and safe to deploy. It examines the actual code, connections between components, configuration, behaviour during failures, and available checks rather than relying on claims in documents or commit messages.

In plain words
What is it for?
Use it as a release gate for implemented features, pull requests, and changes that must be checked against their stated requirements.
Why use it?
It helps prevent unfinished or incorrectly connected work from being approved for production. It also distinguishes a review based on executed tests from one based only on reading documents.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Part of the phoenix-readiness-reviews plugin — 2 skills shipped together

Good fit Use it as a release gate for implemented features, pull requests, and changes that must be checked against their stated requirements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/security-phoenix-demo/security-skills-claude-code/production-readiness-review
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 Security-Phoenix-demo/security-skills-claude-code --skill production-readiness-review
Clone the repo
git clone --depth 1 https://github.com/Security-Phoenix-demo/security-skills-claude-code

Made for: Claude Code.

Or install phoenix-readiness-reviews, the plugin that ships this one along with the rest of its 2 skills.

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 production-readiness-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/security-phoenix-demo/security-skills-claude-code/production-readiness-review/github.svg)](https://agentmods.dev/skills/security-phoenix-demo/security-skills-claude-code/production-readiness-review)
Your own site
<a href="https://agentmods.dev/skills/security-phoenix-demo/security-skills-claude-code/production-readiness-review"><img src="https://agentmods.dev/badge/skills/security-phoenix-demo/security-skills-claude-code/production-readiness-review/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 production-readiness-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/security-phoenix-demo/security-skills-claude-code/production-readiness-review"><img src="https://agentmods.dev/badge/skills/security-phoenix-demo/security-skills-claude-code/production-readiness-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 242 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,212 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 $0.00242 $0.02212
Opus 5 $0.00121 $0.01106
Sonnet 5 $0.00048 $0.00442
Haiku 4.5 $0.00024 $0.00221

Measured 2d ago against content hash 9b4a52f23142, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

production-readiness-review 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/scan_repo.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/phoenix-readiness-reviews/skills/production-readiness-review/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Production readiness review

The plan is a claim. The commit history is a claim. A passing test suite is a weaker claim than it looks. Only the code, its wiring, its configuration and its behaviour under failure are evidence. The job here is to try to disprove that the work is done and to report what survived that attempt.

Two failure modes to avoid, in order: approving something that is not finished, and producing a long review that never actually opened the files. Both come from reading the plan instead of the repo.

Phase 0 — Input contract

State what is under review before starting. Ask once, in one message, for whatever cannot be inferred, then proceed with what is available and record the rest as a scope limit.

  • Repo path(s), branch or PR, and the base ref the change is measured against.
  • The plan/PRD/implementation-plan artefacts and their versions.
  • Target environment and how it differs from local (managed DB, secrets store, replicas).
  • How to run the tests, the linter, and the type checker. If they cannot be run, say so — a review that never executed the suite is a documentation review, and must be labelled as one.
  • Whether remediation is authorised now, and up to which severity.

Phase 1 — Deterministic scan

Run the bundled scanner first. It is reproducible, quotable, and diffable across runs, which the model's own reading of the tree is not.

bash ${CLAUDE_SKILL_DIR}/scripts/scan_repo.sh /path/to/repo --base origin/main > scan.md

${CLAUDE_SKILL_DIR} resolves to this skill's own directory, so the path works whether the skill is installed personally, in a project, or as part of a plugin.

It reports: incompleteness markers, swallowed errors and silent fallbacks, debug and suppression leftovers, secret-shaped literals, route definitions vs auth markers, config and migration artefacts, test surface, and the change surface vs base.

Its output is leads, not findings. Open each hit and judge it in context; a TODO in a comment about future work is noise, a TODO where a permission check belongs is Critical. Also run the suite, the linter and the type checker, and record the exact commands and results.

Read the full file on GitHub · 173 lines

Files

What ships with it

3 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.

  1. 2d ago First seen · 173 lines · 242 tokens per session scan A 9b4a52f23142

Subscribe to this mod's changes

production-readiness-review is a skill published in the GitHub repository Security-Phoenix-demo/security-skills-claude-code (70 stars, last pushed yesterday), licensed MIT. It adds 242 tokens to every session and 2,212 once invoked, about $0.0012 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 2026-09-11.