parallel-review

parallel-review is a skill for Claude Code, Codex from stoa-platform/stoa. It costs 40 tokens per session (926 once invoked), scanned A, original, Apache-2.0.

A French-language workflow for reviewing a pull request or code component from several angles using specialist subagents. It chooses reviewers for security, tests, Kubernetes operations, documentation, and public content based on the files involved.

In plain words
What is it for?
Use it to review pull requests or component paths, assess test coverage, inspect security and Kubernetes changes, and review documentation or public content. It can run up to four specialist reviews in parallel.
Why use it?
It organizes checks that might otherwise be missed when reviewing a change from only one perspective. It also loads the relevant pull-request or component context before assigning reviewers.

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/stoa-platform/stoa/parallel-review
Any agent
npx skills add stoa-platform/stoa --skill parallel-review
Clone the repo
git clone --depth 1 https://github.com/stoa-platform/stoa

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 parallel-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/stoa-platform/stoa/parallel-review.svg)](https://agentmods.dev/skills/stoa-platform/stoa/parallel-review)
Your own site
<a href="https://agentmods.dev/skills/stoa-platform/stoa/parallel-review"><img src="https://agentmods.dev/badge/skills/stoa-platform/stoa/parallel-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 926 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 $0.00040 $0.00926
Opus 5 $0.00020 $0.00463
Sonnet 5 $0.00008 $0.00185
Haiku 4.5 $0.00004 $0.00093

Measured 4d ago against content hash 331c7b120013, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

parallel-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 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.

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.

.claude/skills/parallel-review/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel Review — Review multi-angle orchestree

Executer une review parallele complete sur: $ARGUMENTS

Workflow

Step 1: Charger le contexte

Si c'est un numero de PR:

gh pr view $0
gh pr diff $0 --name-only
gh pr checks $0

Si c'est un chemin de composant:

git diff main --name-only -- $0

Step 2: Determiner les reviewers necessaires

Fichiers modifies Subagent a lancer
*.py, *.tsx, *.ts, *.rs (code applicatif) security-reviewer (toujours)
*.test.*, test_*, *.spec.* test-writer (evaluer couverture)
Tout code sans tests correspondants test-writer (identifier les manques)
Dockerfile, k8s/, *.yaml (k8s), nginx*, charts/ k8s-ops
docs/, *.md, CLAUDE.md, memory.md docs-writer
docs/*.md, blog/**, *.astro (contenu public) content-reviewer

Minimum: security-reviewer est TOUJOURS lance. Maximum: 4 subagents en parallele (budget tokens).

Step 3: Deleguer aux subagents

Lancer les subagents en parallele via le Task tool:

  1. security-reviewer: "Analyse de securite des changements de la PR $0"
  2. test-writer: "Evaluer la couverture de tests pour les fichiers modifies dans la PR $0. Identifier les tests manquants."
  3. k8s-ops (si applicable): "Valider les changements infra/k8s de la PR $0 contre la checklist k8s-deploy.md"
  4. content-reviewer (si contenu public): "Audit conformite du contenu public de la PR $0 contre content-compliance.md"

Step 4: Synthetiser les resultats

Combiner les rapports des subagents en un rapport unifie:

## Review Parallele: $ARGUMENTS

### Date: [date]
### Branche: [branch]
### Fichiers modifies: [count]

---

### Securite (security-reviewer)
**Verdict**: Go / Fix / Refaire
[Resume des findings]

### Tests (test-writer)
**Verdict**: Go / Fix / Refaire
[Resume: couverture actuelle, tests manquants]

### Deployment (k8s-ops)
**Verdict**: Go / Fix / Refaire / N/A
[Resume ou "Pas de changements infra detectes"]

### Conformite Contenu (content-reviewer)
**Verdict**: Go / Fix / Refaire / N/A
[Resume: concurrents, clients, prix, reglementations, disclaimers — ou "Pas de contenu public modifie"]

---

### Verdict global: **Go** / **Fix** / **Refaire**

### Actions requises
1. [Action specifique avec fichier et ligne]
2. ...

### Actions suggerees (non-bloquantes)
1. ...

Read the full file on GitHub · 106 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 · 106 lines · 40 tokens per session scan A 331c7b120013

Subscribe to this mod's changes

parallel-review is a skill published in the GitHub repository stoa-platform/stoa (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 926 once invoked, about $0.0002 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.