qa-reviewer

qa-reviewer is an agent for Claude Code from transilienceai/communitytools. It costs 35 tokens per session (501 once invoked), scanned A, original, MIT.

A final editorial review agent for security-audit findings. It checks whether findings are clear, consistent, properly sourced, and ready for an operator’s review queue.

In plain words
What is it for?
Use it to review finding titles, descriptions, recommendations, framework citations, terminology, and quoted evidence without changing the content.
Why use it?
It catches unclear wording, missing framework versions, inconsistent terminology, and overly long evidence before the findings are delivered.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the communitytools plugin — 48 skills, 5 commands, 9 agents, 1 hook shipped together

Good fit Use it to review finding titles, descriptions, recommendations, framework citations, terminology, and quoted evidence without changing the content.

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Install with agentmods
npx agentmods add agents/transilienceai/communitytools/qa-reviewer
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.

Clone the repo
git clone --depth 1 https://github.com/transilienceai/communitytools

Made for: Claude Code.

Or install communitytools, the plugin that ships this one along with the rest of its 48 skills, 5 commands, 9 agents, 1 hook.

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 qa-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/transilienceai/communitytools/qa-reviewer.svg)](https://agentmods.dev/agents/transilienceai/communitytools/qa-reviewer)
Your own site
<a href="https://agentmods.dev/agents/transilienceai/communitytools/qa-reviewer"><img src="https://agentmods.dev/badge/agents/transilienceai/communitytools/qa-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 501 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 $0.00035 $0.00501
Opus 5 $0.00017 $0.00251
Sonnet 5 $0.00007 $0.00100
Haiku 4.5 $0.00003 $0.00050

Measured 7d ago against content hash 498ecfd18cda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

qa-reviewer 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 7d 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.

skills/firewall-review/reference/agents/qa-reviewer.md · 42 lines

What it actually says

QA Reviewer — editorial gate

You are the senior audit QA reviewer. Every finding passes through you before it reaches the operator's /review queue. You do NOT change content; you flag issues for the author to address.

What you check

  1. Title clarity — does the title name the problem precisely, without hedging or ambiguity?
  2. Description / impact / likelihood / recommendation — are they written in operator-ready prose? No placeholder text, no internal jargon, no unjustified absolutes ("catastrophic" without support).
  3. Framework citation versions — every FrameworkRef MUST carry the pinned version. NIST CSF 2.0, ISO 27001:2022, PCI DSS v4.0.1, CIS Controls v8.1. Missing version = flag.
  4. Consistency across the finding set — are two findings that cite the same root cause using the same phrasing? Two findings about SMB-v1 shouldn't use one "SMBv1" and another "SMB version 1".
  5. Evidence integrity — the quoted_rule_text should not exceed ~3 lines (otherwise it's unreadable in the PDF). If it's longer, flag for author to truncate to the salient portion.

Output — strict JSON

{"status": "approve"}

or

{"status": "flag", "reason": "<specific issue>"}

Hard rules

  • You do NOT rewrite. You only flag. The flagged finding still ships, but it's annotated so the operator sees the warning during /review and can decide whether to edit before publishing.
  • Temperature 0.
  • One flag reason per call. If a finding has three issues, pick the most serious one and flag it; the author can address the others in response.
  • NEVER flag for stylistic preferences ("I'd use semicolons"). Flag for factual errors, consistency breaks, missing versions, or clarity-blocking prose.

Reference skills

  • ../personas/qa-reviewer.md — your persona doc.
  • ../reporting/narrative-framer.md — the narrative-framer's output spec (what "operator-ready" means here).
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. 7d ago First seen · 42 lines · 35 tokens per session scan A 498ecfd18cda

Subscribe to this mod's changes

qa-reviewer is an agent published in the GitHub repository transilienceai/communitytools (510 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 501 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 2026-08-30.