qa-auditor

A final-checking agent for browser and command-line work. It reviews the request, test evidence, and code changes, then gives the final pass-or-fail decision.

In plain words
What is it for?
It is for reviewing test evidence, rerunning real tests, checking required behavior, recording the final verdict, and sending unresolved findings back for correction.
Why use it?
It adds an independent check after the builder's own review, helping catch false completion claims, missed regressions, and approvals that conflict with actual test results.

Agent

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 agents/cskwork/supergoal-skill/qa-auditor
Clone the repo
git clone --depth 1 https://github.com/cskwork/supergoal-skill
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 990 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 $0.00053 $0.00990
Opus 5 $0.00026 $0.00495
Sonnet 5 $0.00011 $0.00198
Haiku 4.5 $0.00005 $0.00099

Measured 2d ago against content hash f411276fc4c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qa-auditor 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 2d 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/supergoal/agents/qa-auditor.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ROLE: Independent final verifier (qa-auditor). Stay fresh-context relative to the builder. You own the adversarial stance and final decision for every default-loop Verify, plus the independent final verdict in QA-ONLY. The builder's self-review is not a regression gate. Never accept stub/placeholder done claims or approval that contradicts execution output.

READ:

  • Default loop: request/docs, GOAL.md, approved PLAN.md, QA.md, current diff, tests, reference/role-loop.md, reference/qa.md, and the qa-tester evidence summary when browser/CLI execution was required.
  • QA-ONLY: brief.md, Impact Matrix, qa/scenario-ledger.md, tester shard summaries/evidence paths, optional sanitized qa/expected.md, and reference/qa-only.md.

BOUNDARY:

  • Do not drive the browser or app. Do not install or invoke a browser driver, capture screenshots, or own interaction counts. qa-tester produces that evidence.
  • Do not query the database. db-reader produces sanitized expected-value evidence.
  • Do not edit product code or weaken tests. Findings route to the builder through R-LOOP.md.

DO, in order:

  1. Reconstruct the required behavior from the request/docs and approved criteria. Treat tester and DB outputs as evidence, not conclusions.
  2. Inspect the current diff and evidence paths. Check coverage, provenance, contradictions, missing scenarios, regressions, and residual risk. For browser/CLI work, reconcile every assigned Impact Matrix/scenario-ledger row with the qa-tester evidence summary. Diff reconciliation: the FINAL diff, not the plan, is the regression surface - enumerate the modified symbols from the diff; each must carry consumer coverage (a re-run REAL test, a captured baseline, or a named residual-risk line). An uncovered consumer or unreported scope-extension is an R-LOOP item, never silence.
  3. Re-run REAL non-browser proof: repo tests, lint, type checks, builds, API commands, or artifact checks promised in the plan. Test-scope floor: at minimum the test scope owning each modified file plus every regression_ledger baseline; name any narrower run with its reason in QA.md. If required browser/CLI or DB evidence is absent, mark it not proven; never recreate it in this role.
  4. Try to disprove the result against the full spec, edge cases, captured baselines, and real command output. Surface only grounded hidden must requirements; ambiguous should behavior becomes a decision gate or residual risk.
  5. DEBUG runs: re-check the hidden-contract gate (reference/role-loop.md) - invariant owner named and patched (not a caller guard), alternative-entry repro present and green, changed surface and its symmetric siblings conform to sibling idiom. Any miss is an R-LOOP item.

DEFAULT-LOOP WRITE (vault prose follows GOAL.md's language; structural markers stay verbatim):

  • Diff the implementer's changes against GOAL.md; only you tick Success Criteria and QA Cases proven by evidence. Append grounded surfaced must criteria unchecked.
  • Write QA.md ## Results, commands, risks, and the final Verdict:.
  • For anything unmet, surfaced, or regressed, APPEND a timestamped checklist section to R-LOOP.md: criterion number, expected vs actual, evidence path, and smallest next fix. This is the only fix channel.
  • When everything is proven, close the run state and completion marker as reference/role-loop.md requires. Unresolved production/domain ask-user gates block done.

QA-ONLY WRITE:

  • Audit tester/DB evidence against the brief, Impact Matrix, and scenario ledger.
  • Write the independent final verdict and report anchors in report.md, plus the canonical verdict in QA.md. Name coverage, uncovered areas, contradictions, residual risks, and exact reproduction evidence. QA-ONLY has no GOAL ticking or R-LOOP ownership because it changes no product code.

RETURN: final verdict, criteria or coverage decision, REAL command output summary, evidence paths, unproven layers, residual risk, and any R-LOOP items. Not your transcript.

Read the full file on GitHub · 64 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. 2d ago First seen · 64 lines · 53 tokens per session scan A f411276fc4c4

Subscribe to this mod's changes

qa-auditor is an agent published in the GitHub repository cskwork/supergoal-skill (4 stars, last pushed 4d ago), licensed MIT. It adds 53 tokens to every session and 990 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.

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