experiment-craft

experiment-craft is a skill for Claude Code from AI4Scientist/nano-scientist. It costs 172 tokens per session (1,577 once invoked), scanned A, original, no licence file.

A structured workflow for debugging and improving an existing research experiment while recording what happens in each run.

In plain words
What is it for?
Use it to diagnose experiment problems, iterate on methods, and maintain an experiment log during active research.
Why use it?
It makes failed attempts, hypotheses, results, and next steps easier to track when a method is underperforming or training fails.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to diagnose experiment problems, iterate on methods, and maintain an experiment log during active research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai4scientist/nano-scientist/experiment-craft
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 AI4Scientist/nano-scientist --skill experiment-craft
Clone the repo
git clone --depth 1 https://github.com/AI4Scientist/nano-scientist

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 experiment-craft

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai4scientist/nano-scientist/experiment-craft/github.svg)](https://agentmods.dev/skills/ai4scientist/nano-scientist/experiment-craft)
Your own site
<a href="https://agentmods.dev/skills/ai4scientist/nano-scientist/experiment-craft"><img src="https://agentmods.dev/badge/skills/ai4scientist/nano-scientist/experiment-craft/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 experiment-craft

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai4scientist/nano-scientist/experiment-craft"><img src="https://agentmods.dev/badge/skills/ai4scientist/nano-scientist/experiment-craft.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 172 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,577 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 unknown 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 $0.00172 $0.01577
Opus 5.5 $0.00069 $0.00631
Sonnet 5.5 $0.00034 $0.00315
Haiku 4.5 $0.00017 $0.00158

Measured 2mo ago against content hash 4055f5875bdb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

experiment-craft 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 2mo 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.

skills/experiment-craft/SKILL.md · 131 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 files 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. 2mo ago First seen · 131 lines · 172 tokens per session scan A 4055f5875bdb

Subscribe to this mod's changes

experiment-craft is a skill published in the GitHub repository AI4Scientist/nano-scientist (130 stars, last pushed 5mo ago), with no licence file. It adds 172 tokens to every session and 1,577 once invoked, about $0.0007 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.

Related

experiment-craft compared with skills from other repositories

experiment-craft next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
experiment-craftAI4Scientist/nano-scientistSkill1305mo agononeA172Claude Code
anomaly-characterizationyogsoth-ai/de-anthropocentric-research-engineSkill51014d agoApache-2.0A19Claude Code, Codex
baseline-comparison-auditwanshuiyin/Anti-AutoresearchSkill1797d agoMITA310Claude Code
eval-design-forensicswanshuiyin/Anti-AutoresearchSkill1797d agoMITA458Claude Code
anti-autoresearchwanshuiyin/Anti-AutoresearchSkill1797d agoMITA275Claude Code
experiment-forensicswanshuiyin/Anti-AutoresearchSkill1797d agoMITA237Claude Code
proof-derivation-forensicswanshuiyin/Anti-AutoresearchSkill1797d agoMITA222Claude Code