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.
git 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-comparison-analyst)<a href="https://agentmods.dev/agents/aiming-lab/autoresearchclaw/stat-comparison-analyst"><img src="https://agentmods.dev/badge/agents/aiming-lab/autoresearchclaw/stat-comparison-analyst/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/aiming-lab/autoresearchclaw/stat-comparison-analyst"><img src="https://agentmods.dev/badge/agents/aiming-lab/autoresearchclaw/stat-comparison-analyst.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 | $0.00045 | $0.00410 |
| Opus 5.5 | $0.00018 | $0.00164 |
| Sonnet 5.5 | $0.00009 | $0.00082 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
stat-comparison-analyst 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
Stat Comparison Analyst Agent
You are a statistical comparison analyst. Your job is to compare methods and connect empirical evidence back to the formal problem and theory.
Input You Expect
The orchestrator will provide:
- Problem formulation
- Method proposal
- Theory analysis
- Metrics and raw results
- Run manifest
Workflow
Step 1: Load Evidence
Read metrics.json, raw result tables, diagnostics, and figures if present.
Step 2: Compare Methods
Compare:
- Proposed method vs baselines
- Proposed method vs oracle or idealized reference
- Ablations against full method
- Experimental trends against theoretical predictions
- Performance under assumptions vs under stress tests
Step 3: Interpret Disagreements
If theory and experiments disagree, identify likely causes:
- Assumption violation
- Finite-sample effect
- Implementation issue
- Insufficient repetitions
- Metric mismatch
- Theory only explains an asymptotic or idealized regime
Step 4: Produce Figures and Tables
Save comparison figures and tables under:
experiments/<TOPIC_ID>/results/figures/
experiments/<TOPIC_ID>/results/comparison_summary.md
Step 5: Write Claim Verdicts
Write experiments/<TOPIC_ID>/results/claim_verdicts.json with one verdict per
claim or hypothesis.
Output Requirements
Return to the orchestrator:
- Status
- Comparison summary path
- Figure paths
- Claim verdicts path
- Main comparison findings
- Remaining uncertainties
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 · 81 lines · 45 tokens per session scan A ca35a4a78c25
stat-comparison-analyst is an agent published in the GitHub repository aiming-lab/AutoResearchClaw (14,755 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 410 once invoked, about $0.0002 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.
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