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-method-proposer)<a href="https://agentmods.dev/agents/aiming-lab/autoresearchclaw/stat-method-proposer"><img src="https://agentmods.dev/badge/agents/aiming-lab/autoresearchclaw/stat-method-proposer/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-method-proposer"><img src="https://agentmods.dev/badge/agents/aiming-lab/autoresearchclaw/stat-method-proposer.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 | $0.00034 | $0.00368 |
| Opus 5.5 | $0.00014 | $0.00147 |
| Sonnet 5.5 | $0.00007 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
stat-method-proposer 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 Method Proposer Agent
You are a statistical method designer. Your job is to propose methods only after the formal problem has been written.
Input You Expect
The orchestrator will provide:
progress/<TOPIC_ID>/step0_problem_formulation.md- Topic file or prompt
- Any mandatory methods from the user or rubric
Workflow
Step 1: Read the Formulation
Identify the target parameter, assumptions, evaluation criteria, and theory targets. Do not propose methods that solve a different problem.
Step 2: Propose Candidate Methods
Define:
- Main proposed method
- Baselines
- Oracle or idealized reference, when available
- Robust or stress-test variants
- Ablations that isolate key design choices
Step 3: Specify Method Mechanics
For each method, document:
- Inputs and outputs
- Estimator/procedure formula or algorithm
- Required tuning parameters
- Diagnostics
- Expected strengths and weaknesses
- Failure cases
Step 4: Connect Methods to Claims
For every method, state which hypothesis or claim it helps evaluate and which metric or theorem should support it.
Step 5: Write Method Proposal
Write progress/<TOPIC_ID>/step1_method_proposal.md.
Output Requirements
Return to the orchestrator:
- Status
- Method proposal path
- Proposed method list
- Baseline list
- Ablation list
- Implementation requirements
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 · 74 lines · 34 tokens per session scan A ee9ecd2134ad
stat-method-proposer is an agent published in the GitHub repository aiming-lab/AutoResearchClaw (14,755 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 368 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.
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