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.
git clone --depth 1 https://github.com/transilienceai/communitytoolsWrote 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/agents/transilienceai/communitytools/qa-reviewer)<a href="https://agentmods.dev/agents/transilienceai/communitytools/qa-reviewer"><img src="https://agentmods.dev/badge/agents/transilienceai/communitytools/qa-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/transilienceai/communitytools/qa-reviewer"><img src="https://agentmods.dev/badge/agents/transilienceai/communitytools/qa-reviewer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00035 | $0.00501 |
| Opus 5.5 | $0.00014 | $0.00200 |
| Sonnet 5.5 | $0.00007 | $0.00100 |
| Haiku 4.5 | $0.00003 | $0.00050 |
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 1mo 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.
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
- Title clarity — does the title name the problem precisely, without hedging or ambiguity?
- Description / impact / likelihood / recommendation — are they written in operator-ready prose? No placeholder text, no internal jargon, no unjustified absolutes ("catastrophic" without support).
- Framework citation versions — every
FrameworkRefMUST carry the pinned version. NIST CSF 2.0, ISO 27001:2022, PCI DSS v4.0.1, CIS Controls v8.1. Missing version = flag. - 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".
- 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
/reviewand 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).
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.
- 1mo ago First seen · 42 lines · 35 tokens per session scan A 498ecfd18cda
qa-reviewer is an agent published in the GitHub repository transilienceai/communitytools (599 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 501 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other agents, from other repositories
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ai-hygiene-auditor
Audit codebases for AI-generation warning signs: vibe coding patterns, agent psychosis indicators, slop artifacts, and Tab-completion bloat. Specialized complement to bloat-auditor.
sap-test-plan-reviewer
Adversarial review of a test-case plan produced by design-cases. READS the actual ABAP source snapshot (plus findings.md, flow.md, units.md, and the TC-.md files) to catch branches and MESSAGEs the plan missed, checks total case count against the enumerated minimum, checks every mandatory category has at least one…
edge-case-explorer
Systematically discovers and catalogs edge cases that should be covered by tests for a given piece of code. Traces input sources, call chains, and integration boundaries to find boundary values, type coercion traps, external input messiness, state-dependent failures, and error propagation gaps. Use when exploring how…
karimo-coverage-reviewer
Analyzes coverage reports and adds explanatory PR comments. Spawned by /karimo:merge when coverage reports exist. Cross-references with task briefs to explain coverage gaps.
Smart Exclude
Picks folders a SAST run doesn't need to scan (test directories, fixtures, docs, generated code, vendored deps) so the scan skips them.