pos-ai: Skill for Claude Code

.claude/skills/parallel-review/SKILL.md

parallel-review is a skill for Claude Code from abuango/pos-ai. It costs 52 tokens per session (1,082 once invoked), scanned A, original, MIT.

A review workflow that runs separate code-quality, security, and documentation checks at the same time, then combines their findings into one report.

In plain words
What is it for?
Use it for completed changes, pre-merge checks, or a broad review of a project or selected files.
Why use it?
It reduces the chance that a review focuses on only one kind of problem before code is merged.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is abuango/pos-ai's own configuration. It tells Claude Code how to work on pos-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything pos-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to abuango/pos-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/abuango/pos-ai/main/.claude/skills/parallel-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/abuango/pos-ai

Made for: Claude Code.

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/abuango/pos-ai/parallel-review.svg)](https://agentmods.dev/skills/abuango/pos-ai/parallel-review)
Your own site
<a href="https://agentmods.dev/skills/abuango/pos-ai/parallel-review"><img src="https://agentmods.dev/badge/skills/abuango/pos-ai/parallel-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,082 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 $0.00052 $0.01082
Opus 5 $0.00026 $0.00541
Sonnet 5 $0.00010 $0.00216
Haiku 4.5 $0.00005 $0.00108

Measured 6d ago against content hash 278a28f04d29, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 6d 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 · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel Review

Run three independent review agents simultaneously, then synthesize a unified report. This implements the parallel workflow pattern — each agent specializes in one review domain, and their findings are merged into a severity-ranked report.

Setup

Before starting: identify the project context, read status.yaml, run git status and git diff --stat to understand what changed.

Process

Step 1: Identify Scope

Determine the review target:

  • If recent changes: git diff --name-only or git diff HEAD~1 --name-only
  • If specific files: use the file list provided by the user
  • If full project: scan src/ or equivalent source directory

Capture the file list and diff summary — you'll pass this to all three agents.

Step 2: Launch Three Review Agents in Parallel

Spawn exactly 3 Agent calls in a single message (parallel execution). Each agent gets the same file list but different review focus.

Agent 1 — Code Quality Review:

Review these files for code quality:
{file list and diff}

Check for:
- Functions longer than 30 lines
- Duplicated logic (more than 2 occurrences)
- TypeScript `any` types
- Missing error handling on async operations
- N+1 query patterns or SELECT *
- Naming convention violations
- Single responsibility violations
- Dead code or unused imports

For each finding, report: severity (critical/warning/suggestion), file:line, description, and recommended fix.

Agent 2 — Security Audit:

Review these files for security vulnerabilities:
{file list and diff}

Check OWASP Top 10:
- Hardcoded secrets or credentials
- SQL injection (raw queries, string interpolation in SQL)
- XSS (innerHTML, v-html, dangerouslySetInnerHTML)
- Command injection (exec, system, shell_exec)
- Broken access control (missing auth checks)
- Insecure dependencies (check package.json/composer.json)
- SSRF risks (unvalidated URLs)
- Missing input validation at system boundaries

For each finding, report: severity (critical/high/medium/low), file:line, OWASP category, description, and fix.

Read the full file on GitHub · 143 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. 6d ago First seen · 143 lines · 52 tokens per session scan A 278a28f04d29

Subscribe to this mod's changes

parallel-review is a skill published in the GitHub repository abuango/pos-ai (2 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 1,082 once invoked, about $0.0003 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.