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Agent skill

Spec Peer Review

by pedronauck in pedronauck/skills

Run one requested external review of an approved spec, design doc, RFC, or detailed PRD; produce findings for user-selected incorporation.

No licenceAuto-check passedResearch & Science

Install Spec Peer Review

skills CLI
$ npx skills add pedronauck/skills --skill spec-peer-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install pedronauck/skills spec-peer-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/pedronauck/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mine/spec-peer-review .claude/skills/spec-peer-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
spec-peer-review
GitHub stars
634
Token cost
~794 tokens
SKILL.md length
336 words
Files
4 (incl. scripts, references)
Skills in repo
65
Repo updated
First seen
Licence
None found

At a glance

Run one requested external review of an approved spec, design doc, RFC, or detailed PRD; produce findings for user-selected incorporation.

  • Works in 7 steps: Read the spec and its linked contract… → Use the applicable markers in… → Read references/peer-review-prompt.md… → …
  • Tasks that involve Peer review
  • SKILL.md covers Inputs and output and Review
  • Runs Shell scripts from its folder; calls bash

What it does

Spec Peer Review is an agent skill from pedronauck/skills. Run one requested external review of an approved spec, design doc, RFC, or detailed PRD; produce findings for user-selected incorporation. Excludes implementation reviews and automatic or looping approval gates.

Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/peer-review-prompt.md`, `references/quality-markers.md` and `scripts/validate-findings.sh`).

It sits in Research & Science, covering Peer review, Architecture decision records and PRD writing. The repository describes itself as: My personal favorite skills.

When your agent uses it

  • Tasks that involve Peer review
  • Tasks that involve Architecture decision records
  • Tasks that involve PRD writing

Example prompts

  • “/spec-peer-review”

Requirements

  • A Bash shell

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Read the spec and its linked contract index. Include relevant requirements, concrete examples, test contracts, ADR decisions, and the…
  2. Use the applicable markers in references/quality-markers.md; missing contracts become findings, not an automatic stop before a requested…
  3. Read references/peer-review-prompt.md and fill its placeholders, including exact findings path, round, resolved runtime/model, and context…
  4. Launch through the available independent reviewer runtime (a configured native reviewer, Compozy session, or herdr TUI). Use that…
  5. Inspect the findings, cited evidence, and changed paths. Validate the artifact
  6. Report the verdict, material findings, limitations, and artifact path. Missing/malformed output is an incomplete review, never READY…
  7. Apply only user-selected findings and record the disposition with changed paths. Reuse authorization already given; ask only for a…

What it can do on your machine

Read from SKILL.md and the folder at commit 0422940. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Spec Peer Review loads about 794 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 336 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~794
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 336 words (~794 tokens).

“Review a saved design only when the user requests an independent review. Honor existing approval to review it as-is. Incorporate only selected findings; additional rounds remain opt-in.”

— opening of SKILL.md by pedronauck
name
spec-peer-review
disable-model-invocation
true
argument-hint
[spec-path] [--context p1,p2] [--out dir] [--ide <ide>] [--model <model>] [--reasoning <effort>]
metadata.author
Pedro Nauck
metadata.github
https://github.com/pedronauck
metadata.repository
https://github.com/pedronauck/skills

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in skills/mine/spec-peer-review of pedronauck/skills.

  • SKILL.md
  • references/peer-review-prompt.md
  • references/quality-markers.md
  • scripts/validate-findings.sh

Open the folder on GitHubat commit 0422940

Compare with similar skills

Spec Peer Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Spec Peer Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Spec Peer Review this skillpedronauck/skills634—~794Automated safety check: PassNone
Exploremirumee/nimara-ecommerce129—~436Automated safety check: PassBSD-3-Clause
Doc Co-Authoring WorkflowshareAI-lab/Kode-CLI5.2k—~977Automated safety check: PassApache-2.0
Run Assert Evalresponsibleai/ASSERT330—~11kAutomated safety check: NotesMIT
Cabloy Spec Generationcabloy/cabloy982—~3.2kAutomated safety check: NotesMIT
Schematicblader/schematic241—~2.2kAutomated safety check: PassMIT

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Categories

Questions about Spec Peer Review

What does Spec Peer Review do?

Run one requested external review of an approved spec, design doc, RFC, or detailed PRD; produce findings for user-selected incorporation. Spec Peer Review is an agent skill from pedronauck/skills. Run one requested external review of an approved spec, design doc, RFC, or detailed PRD; produce findings for user-selected incorporation.

When should I use Spec Peer Review?

Spec Peer Review fits situations like: tasks that involve Peer review; tasks that involve Architecture decision records; tasks that involve PRD writing.

How do I install Spec Peer Review in Claude Code?

Run `npx skills add pedronauck/skills --skill spec-peer-review -a claude-code`. Or copy the skill folder (skills/mine/spec-peer-review in pedronauck/skills) into .claude/skills/spec-peer-review in your project. Claude Code loads it when a task matches its description.

How do I install Spec Peer Review in Codex?

Run `npx skills add pedronauck/skills --skill spec-peer-review -a codex`. Or copy the skill folder (skills/mine/spec-peer-review in pedronauck/skills) into .agents/skills/spec-peer-review in your project. Codex loads it when a task matches its description.

Can I use Spec Peer Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pedronauck/skills --skill spec-peer-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spec-peer-review, .gemini/skills/spec-peer-review, .github/skills/spec-peer-review and .opencode/skills/spec-peer-review in your project.

What does Spec Peer Review need to run?

Going by SKILL.md and its folder, Spec Peer Review needs a shell for the scripts in its folder and the command-line tools its instructions call (bash). Our summary lists: A Bash shell.

Does Spec Peer Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Spec Peer Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Spec Peer Review use?

No licence was found for Spec Peer Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Spec Peer Review use?

About 794 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Spec Peer Review?

Skills that share tags, products or a category with Spec Peer Review: Explore (mirumee/nimara-ecommerce, 129 stars), Doc Co-Authoring Workflow (shareAI-lab/Kode-CLI, 5.2k stars), Run Assert Eval (responsibleai/ASSERT, 330 stars) and Cabloy Spec Generation (cabloy/cabloy, 982 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spec Peer Review?

pedronauck (a GitHub user) maintains it in pedronauck/skills, which has 634 GitHub stars. The repository holds 65 skills in this directory. The repository was last updated on September 14, 2026.

Source: pedronauck/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.