Borrowing it
Nothing to install: this file belongs to Zayne-sprague/Dr-Claude-Code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Zayne-sprague/Dr-Claude-Code/main/.claude/skills/experiment-management/SKILL.mdgit clone --depth 1 https://github.com/Zayne-sprague/Dr-Claude-CodeWrote 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/zayne-sprague/dr-claude-code/experiment-management)<a href="https://agentmods.dev/skills/zayne-sprague/dr-claude-code/experiment-management"><img src="https://agentmods.dev/badge/skills/zayne-sprague/dr-claude-code/experiment-management/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/zayne-sprague/dr-claude-code/experiment-management"><img src="https://agentmods.dev/badge/skills/zayne-sprague/dr-claude-code/experiment-management.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 | $0.00059 | $0.01700 |
| Opus 5.5 | $0.00024 | $0.00680 |
| Sonnet 5.5 | $0.00012 | $0.00340 |
| Haiku 4.5 | $0.00006 | $0.00170 |
Grade A, and why
experiment-management 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.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experiment Management
This skill is activated whenever the user talks about experiments. Read .claude/rules/experiments.md for the full rules. This skill handles the infrastructure — folder structure, dashboard sync, state tracking.
Coordination with Other Design Skills
When the user is designing an experiment, another design/brainstorming skill may also be active (e.g., superpowers:brainstorming). If so, the two are not in conflict — they handle different concerns:
- The design skill drives the conversation: clarifying questions, proposing approaches, presenting design, getting approval.
- This skill drives the infrastructure: folder creation, dashboard sync, state tracking, lifecycle gates.
When a design skill is active alongside this one:
- The design skill runs the conversation — questions, approaches, design presentation.
- The experiment folder is still created immediately by this skill — don't wait for the design process to finish.
- The design spec goes to
EXPERIMENT_README.mdin the experiment folder, NOT the design skill's default spec location (e.g.,docs/superpowers/specs/). This skill's output location takes precedence for experiments. - After the user approves the design, the next step is the experiment lifecycle (update
flow_state.json→/raca:experiment-preflight→ canary → run), NOT the design skill's default next step (e.g.,writing-plans). If implementation planning is needed for experiment code, it can be used within the lifecycle, but the experiment flow owns the top-level sequence.
When no design skill is active: This skill handles the full design conversation itself, following the flow defined in .claude/rules/experiments.md.
Experiment Folder Structure
Every experiment lives at notes/experiments/<experiment-name>/. Create this structure immediately when a conversation turns to a concrete experiment — do not wait for the design to be "complete":
notes/experiments/<name>/
├── experiment.yaml # Config: hypothesis, models, tasks, conditions
├── EXPERIMENT_README.md # What this experiment is about, results, conclusions
├── HUGGINGFACE_REPOS.md # Table of all HF datasets produced (newest first)
├── questions.md # Research questions (READ ONLY — never edit)
├── red_team_brief.md # What could go wrong, validation criteria
├── flow_state.json # Current phase + state (machine-readable)
├── activity_log.jsonl # Timeline of events (append-only)
├── user/ # User's personal notes (RACA doesn't touch these)
│ ├── README.md
│ ├── FINDINGS.md
│ ├── DECISIONS.md
│ └── summary.md
└── experiments/ # Sub-experiments (focused follow-ups)
└── <sub-name>.md
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.
- 2mo ago First seen · 138 lines · 59 tokens per session scan A f9abfb30e270
experiment-management is a skill published in the GitHub repository Zayne-sprague/Dr-Claude-Code (5 stars, last pushed 7mo ago), licensed MIT. It adds 59 tokens to every session and 1,700 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 2026-08-31.
experiment-management compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| experiment-managementZayne-sprague/Dr-Claude-Code | Skill | 5 | 7mo ago | MIT | A | 59 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |