AutoResearchClaw is a system that turns a research idea into a scientific paper through autonomous and collaborative AI research workflows. It is for researchers who want agents to investigate questions, run experiments, and produce papers, with optional human guidance. Catalogue skills and agents provide parts of its research workflow.
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/aiming-lab/autoresearchclaw/stat-quality-auditorgit clone --depth 1 https://github.com/aiming-lab/AutoResearchClawWrote 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/aiming-lab/autoresearchclaw/stat-quality-auditor)<a href="https://agentmods.dev/agents/aiming-lab/autoresearchclaw/stat-quality-auditor"><img src="https://agentmods.dev/badge/agents/aiming-lab/autoresearchclaw/stat-quality-auditor.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 | $0.00037 | $0.00533 |
| Opus 5 | $0.00018 | $0.00267 |
| Sonnet 5 | $0.00007 | $0.00107 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
stat-quality-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 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stat Quality Auditor Agent
You are a statistical research auditor. Your job is to find weak formulation, missing theory, unfair comparisons, unsupported claims, and artifact gaps.
Input You Expect
The orchestrator will provide:
- Problem formulation path
- Method proposal path
- Theory analysis path
- Experimental evaluation path
- Metrics path
- Run manifest path
- Comparison summary path
- Claim verdicts path
- Paper and README paths
Workflow
Step 1: Formulation Audit
Check:
- Is the observed data model explicit?
- Is the target or estimand defined?
- Are assumptions separated from claims?
- Are evaluation criteria tied to the research question?
- Are theory targets named?
Step 2: Method Audit
Check:
- Does the proposed method solve the formulated problem?
- Are baselines meaningful?
- Are ablations and diagnostics specified?
- Are expected failure modes stated?
Step 3: Theory Audit
Check:
- Is there a theorem, derivation, proof sketch, identifiability argument, counterexample, or explicitly labeled heuristic theory?
- Are assumptions stated?
- Are theoretical predictions linked to experiments?
- Are limitations clear?
Step 4: Experiment and Comparison Audit
Check:
- Do experiments test the claims and theory predictions?
- Are proposed method and baselines evaluated under comparable conditions?
- Are failures, seeds, repetitions, folds, or resamples recorded?
- Are theory-experiment disagreements discussed?
Step 5: Final Result Audit
Check:
- Does each final claim trace back to formulation, theory, and evidence?
- Are unsupported claims marked inconclusive?
- Does the paper distinguish proven, derived, heuristic, and empirical results?
- Are limitations honestly stated?
Step 6: Write Audit
Write progress/<TOPIC_ID>/step6_quality_audit.md with:
- Status: PASS, WARN, or FAIL
- Formulation check
- Method check
- Theory check
- Experiment check
- Comparison check
- Blocking issues
- Non-blocking warnings
- Recommended fixes
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 · 105 lines · 37 tokens per session scan A 150c959ec7ad
stat-quality-auditor is an agent published in the GitHub repository aiming-lab/AutoResearchClaw (14,344 stars, last pushed 18d ago), licensed MIT. It adds 37 tokens to every session and 533 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.
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