spec-peer-review

spec-peer-review is a skill for Claude Code, Codex from compozy/kb. It costs 203 tokens per session (3,530 once invoked), scanned A, original, MIT.

An optional review process in which a second language model examines a technical specification, design document, RFC, or detailed product requirements document. It writes its findings to one Markdown file for the author to consider.

In plain words
What is it for?
Use it to review a ready draft of a specification and identify issues through a configurable reviewer model and reasoning setup.
Why use it?
It provides an independent pressure test for a document before its recommendations are incorporated. The author remains responsible for deciding which findings to use.

Skill for Claude CodeCodex

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/compozy/kb/spec-peer-review
Any agent
npx skills add compozy/kb --skill spec-peer-review
Clone the repo
git clone --depth 1 https://github.com/compozy/kb

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.

agentmods badge for spec-peer-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/compozy/kb/spec-peer-review.svg)](https://agentmods.dev/skills/compozy/kb/spec-peer-review)
Your own site
<a href="https://agentmods.dev/skills/compozy/kb/spec-peer-review"><img src="https://agentmods.dev/badge/skills/compozy/kb/spec-peer-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 203 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,530 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 $0.00203 $0.03530
Opus 5 $0.00102 $0.01765
Sonnet 5 $0.00041 $0.00706
Haiku 4.5 $0.00020 $0.00353

Measured 5d ago against content hash 23cd07d25d71, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

spec-peer-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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-findings.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.

.agents/skills/spec-peer-review/SKILL.md · 299 lines

How it starts

The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spec Peer Review

A capable authoring model drafts a spec; a second, independent model pressure-tests it. This skill runs that cross-LLM pressure-test only when the user explicitly asks for a review round after approving the current draft. It does not auto-run, auto-incorporate findings, or auto-loop additional rounds.

The skill is harness-agnostic and project-agnostic. It uses Compozy as the review engine: each round runs one compozy exec against a configurable runtime (--ide/--model/ --reasoning). The review result is a direct-written Markdown findings file. compozy exec stdout/stderr is operational evidence only; never parse it as the review source of truth.

Required Reading Router

Match your step to the row. Read the listed file in full before acting. These files are load-bearing, not appendices — the inline text in this SKILL.md is a pointer, not a substitute.

Step MUST read
Step 1.4 — assessing spec readiness references/quality-markers.md
Step 2 — composing the review prompt references/peer-review-prompt.md
Step 4 — validating findings scripts/validate-findings.sh (run it)

Reference Index

  • references/quality-markers.md — the six tech-agnostic markers a spec must carry before review (scope boundary, architectural boundaries, concrete contracts, data-model/migration rationale, ownership decisions, numbered safety invariants). The Step 1 readiness gate; the markers are not inlined here.
  • references/peer-review-prompt.md — the canonical executable reviewer prompt template, including the scoped-write contract and the exact findings-file format. Its placeholders are substituted verbatim; never paraphrase it.
  • scripts/validate-findings.sh — read-only structural validator for the findings artifact (frontmatter, required sections, no placeholders). Run it; never edit it.

Read the full file on GitHub · 299 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. 5d ago First seen · 299 lines · 203 tokens per session scan A 23cd07d25d71

Subscribe to this mod's changes

spec-peer-review is a skill published in the GitHub repository compozy/kb (108 stars, last pushed 15d ago), licensed MIT. It adds 203 tokens to every session and 3,530 once invoked, about $0.0010 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.

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