research-sop

research-sop is a skill for Claude Code from whenpoem/aiscientist. It costs 85 tokens per session (1,735 once invoked), scanned A, original, MIT.

A step-by-step workflow for empirical research, meaning research based on observations, experiments, or measured data.

In plain words
What is it for?
It is for investigating questions, comparing hypotheses, choosing and running experiments, checking results, and recording what remains uncertain.
Why use it?
It keeps a research project connected from the original question through related literature, competing explanations, experiments, verification, and the final handoff.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: $skill-name invocation.

Good fit It is for investigating questions, comparing hypotheses, choosing and running experiments, checking results, and recording what remains uncertain.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/whenpoem/aiscientist/research-sop
Install

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.

Any agent
npx skills add whenpoem/aiscientist --skill research-sop
Clone the repo
git clone --depth 1 https://github.com/whenpoem/aiscientist

Made for: Claude Code.

Wrote 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.

agentmods badge for research-sop

README.md
[![agentmods](https://agentmods.dev/badge/skills/whenpoem/aiscientist/research-sop/github.svg)](https://agentmods.dev/skills/whenpoem/aiscientist/research-sop)
Your own site
<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.

agentmods 80×15 button for research-sop

Your own site · 80×15
<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>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,735 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 9d ago against content hash 7fb53835e188, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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.

.claude/skills/research-sop/SKILL.md · 173 lines

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

  1. If Cockpit is useful, tell the user how to start it from the same workspace: claudescientist cockpit --workspace <path> --lang zh.
  2. 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.
  3. Call mcp__memory__match_signatures with the task and likely failure modes. Read matching failures before choosing a method.
  4. 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

  1. Call mcp__memory__query_literature, find_baselines_for, and find_contradictions as relevant.
  2. 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.
  3. Ingest structured paper summaries that materially affect the decision.
  4. Separate established facts, reported claims, assumptions, and open gaps.

Read the full file on GitHub · 173 lines

Files

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.

Changes

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.

  1. 9d ago First seen · 173 lines · 85 tokens per session scan A 7fb53835e188

Subscribe to this mod's changes

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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