experiment-management

experiment-management is a skill for Claude Code from Zayne-sprague/Dr-Claude-Code. It costs 59 tokens per session (1,700 once invoked), scanned A, original, MIT.

A set of rules for managing the full lifecycle of research experiments in RACA. It covers organizing experiment folders, tracking progress, syncing the dashboard, and requiring checks before jobs run.

In plain words
What is it for?
It creates and manages experiment structure, records state changes, synchronizes results, and coordinates with experiment-design tools.
Why use it?
It helps keep experiments organized and prevents compute jobs from starting before design, red-team review, and validation requirements are addressed.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

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.

agentmods
npx agentmods add skills/zayne-sprague/dr-claude-code/experiment-management
Any agent
npx skills add Zayne-sprague/Dr-Claude-Code --skill experiment-management
Clone the repo
git clone --depth 1 https://github.com/Zayne-sprague/Dr-Claude-Code

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-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/zayne-sprague/dr-claude-code/experiment-management.svg)](https://agentmods.dev/skills/zayne-sprague/dr-claude-code/experiment-management)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,700 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00059 $0.01700
Opus 5 $0.00030 $0.00850
Sonnet 5 $0.00012 $0.00340
Haiku 4.5 $0.00006 $0.00170

Measured 6d ago against content hash f9abfb30e270, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 6d 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/experiment-management/SKILL.md · 138 lines

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:

  1. The design skill runs the conversation — questions, approaches, design presentation.
  2. The experiment folder is still created immediately by this skill — don't wait for the design process to finish.
  3. The design spec goes to EXPERIMENT_README.md in 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.
  4. 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

Read the full file on GitHub · 138 lines

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. 6d ago First seen · 138 lines · 59 tokens per session scan A f9abfb30e270

Subscribe to this mod's changes

experiment-management is a skill published in the GitHub repository Zayne-sprague/Dr-Claude-Code (5 stars, last pushed 5mo ago), licensed MIT. It adds 59 tokens to every session and 1,700 once invoked, about $0.0003 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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