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 skills add whenpoem/aiscientist --skill research-sopgit clone --depth 1 https://github.com/whenpoem/aiscientistWrote 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/skills/whenpoem/aiscientist/research-sop)<a href="https://agentmods.dev/skills/whenpoem/aiscientist/research-sop"><img src="https://agentmods.dev/badge/skills/whenpoem/aiscientist/research-sop/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/skills/whenpoem/aiscientist/research-sop"><img src="https://agentmods.dev/badge/skills/whenpoem/aiscientist/research-sop.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 | $0.00085 | $0.01735 |
| Opus 5 | $0.00043 | $0.00868 |
| Sonnet 5 | $0.00017 | $0.00347 |
| Haiku 4.5 | $0.00009 | $0.00173 |
Grade A, and why
research-sop 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 9d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research SOP
Use this skill as the main router for empirical research. Custom researcher,
engineer, verifier, reviewer, and budgeter agents are optional helpers;
when they are unavailable, execute the same role boundaries inline.
Inputs and promised output
Before doing expensive work, establish:
- the research question and decision the result should support;
- the active workspace and relevant files or datasets;
- whether the work is exploratory or confirmatory;
- cost, time, reserved-data, and external-service constraints;
- whether the user asked only for diagnosis or also authorized implementation.
Finish with a research handoff containing the question, literature basis, hypothesis node ids, comparison evidence, experiment manifest, verification status, unresolved risks, and the next justified action. Do not call a result publication-ready merely because code ran or unit tests passed.
1. Orient and resume
- If Cockpit is useful, tell the user how to start it from the same workspace:
claudescientist cockpit --workspace <path> --lang zh. - Inspect the active frontier and ancestors. Reuse an existing question or hypothesis when it already represents the task; otherwise create the question and candidate hypothesis nodes.
- Call
mcp__memory__match_signatureswith the task and likely failure modes. Read matching failures before choosing a method. - Query existing literature and contradictions. Record a snapshot before a risky pruning decision or when resuming an interrupted investigation.
Expected state: a question node or explicit task statement, known prior failures, and a short list of missing evidence.
2. Establish the evidence base
- Call
mcp__memory__query_literature,find_baselines_for, andfind_contradictionsas relevant. - Use arXiv or OpenAlex only when those optional MCPs are available. If they are absent, continue with repository sources and say what literature search remains incomplete; do not invent citations.
- Ingest structured paper summaries that materially affect the decision.
- Separate established facts, reported claims, assumptions, and open gaps.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 173 lines · 85 tokens per session scan A 7fb53835e188
research-sop is a skill published in the GitHub repository whenpoem/aiscientist (8 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 1,735 once invoked, about $0.0004 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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