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.
curl -O https://raw.githubusercontent.com/abuango/pos-ai/main/.claude/skills/parallel-review/SKILL.mdgit clone --depth 1 https://github.com/abuango/pos-aiWrote 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.
[](https://agentmods.dev/skills/abuango/pos-ai/parallel-review)<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>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.
| Model | Per session | Once 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 |
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.
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-onlyorgit 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.
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.
- 6d ago First seen · 143 lines · 52 tokens per session scan A 278a28f04d29
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.
Other skills, from other repositories
autoreview
Pre-commit/ship code review: Codex default; optional Claude or Pi.
rework-rate
Measure and interpret PR rework rate — the emerging 5th DORA metric.
omh-code-review
This is a Hermes-native code-review workflow skill.
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
full-repo-review
Comprehensive four-wave review of all repo source files, producing a prioritized issue backlog.