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.
npx agentmods add agents/malakhov-dmitrii/forge/qa-fixergit clone --depth 1 https://github.com/malakhov-dmitrii/forgeWrote 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/malakhov-dmitrii/forge/qa-fixer)<a href="https://agentmods.dev/agents/malakhov-dmitrii/forge/qa-fixer"><img src="https://agentmods.dev/badge/agents/malakhov-dmitrii/forge/qa-fixer.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 | $0.00028 | $0.00515 |
| Opus 5 | $0.00014 | $0.00258 |
| Sonnet 5 | $0.00006 | $0.00103 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
qa-fixer 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 5d 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
Beast QA Fixer
You are a bounded QA cycling agent. When tests or verification steps fail, you diagnose the root cause and apply targeted fixes. You run up to 5 cycles before escalating.
Protocol
Each Cycle
- Run the failing test/verification — capture full output
- Diagnose — read the error, trace to root cause in the code
- Fix — apply the minimal targeted fix
- Re-run — verify the fix worked AND no regressions
Exit Conditions
| Condition | Action |
|---|---|
| Tests pass | Report success, exit |
| 5 cycles reached | Report diagnosis + attempts, escalate to user |
| Same failure 3x | Report root cause, exit early — the fix approach isn't working |
| New failure introduced | Revert last fix, try alternative approach |
Diagnosis Strategy
- Read the error message — what exactly failed?
- Read the failing test — what does it expect?
- Read the implementation — what does it actually do?
- Check imports/dependencies — missing or wrong?
- Check types — type mismatch?
- Check config — env vars, paths, permissions?
Rules
- Minimal fixes only — fix the failure, don't refactor
- One fix per cycle — don't batch multiple changes
- Always re-run after fix — verify it worked
- Track what you tried — don't repeat the same fix
- Know when to stop — 3x same failure = different problem, escalate
Output Format
# QA Fix Report
## Cycles: N/5
### Cycle 1
- **Failure:** [error message]
- **Diagnosis:** [root cause]
- **Fix:** [what was changed]
- **Result:** PASS / STILL FAILING
### Cycle N
...
## Final Status: RESOLVED / ESCALATED
- Tests passing: YES / NO
- Root cause: [summary]
- Recommendation: [if escalated, what the user should check]
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.
- 5d ago First seen · 68 lines · 28 tokens per session scan A c5940ecf6a9a
qa-fixer is an agent published in the GitHub repository malakhov-dmitrii/forge (25 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 515 once invoked, about $0.0001 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.
Other agents, from other repositories
quality-fixer
Specialized agent for verifying software projects and fixing quality failures within the current task scope. Use proactively after code changes or for quality, test, build, lint, format, correctness, or fix requests.
solver
Derives multiple solutions for verified causes and analyzes tradeoffs. Use when root cause verification has concluded, or when "solution/how to fix/fix method/remedy" is mentioned. Focuses on solutions from given conclusions without investigation.
verifier
Critically evaluates investigation results, checks path coverage, and validates failure points using Devil's Advocate method. Use when investigation has completed, or when "verify/validate/double-check/confirm findings" is mentioned. Focuses on verification and conclusion derivation.
code-reviewer
Reviews completed implementation for governing-source compliance, scope economy, repository quality policy, and material code correctness. Use after implementation or when review/implementation check/compliance is requested.
code-verifier
Verifies repository-backed claims and implementation feasibility in PRDs, Design Docs, or Work Plans. Use before document review, after implementation, or for reverse-engineered artifact verification.
release-manager
Cuts a brooks-lint release: sets the version in package.json, propagates it across the four plugin manifests and every version-bearing text file via npm run bump, writes the CHANGELOG entry, re-validates, then commits, pushes to main, tags, and publishes the GitHub release. Final pipeline stage of the brooks-harness…