Agent skill

Inno Experiment Dev

by OpenLAIR in OpenLAIR/dr-claw

Creates implementation plan, writes project code with judge feedback loop, and submits final experiment run.

Custom licenceAuto-check passedAgent Workflows

Install Inno Experiment Dev

skills CLI
$ npx skills add OpenLAIR/dr-claw --skill inno-experiment-dev -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install OpenLAIR/dr-claw inno-experiment-dev --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/inno-experiment-dev .claude/skills/inno-experiment-dev && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
inno-experiment-dev
GitHub stars
1.2k
Token cost
~2.3k tokens
SKILL.md length
803 words
Files
10 (incl. references)
Skills in repo
35
Repo updated
First seen
Licence
Custom licence

At a glance

Creates implementation plan, writes project code with judge feedback loop, and submits final experiment run.

  • Works in 3 steps: Create Implementation Plan → Implement and Iterate → Submit Experiment
  • Tasks that involve Planning
  • SKILL.md covers Inputs, Outputs, Cache Artifacts and Instructions, plus 3 more sections
  • Calls python

What it does

Inno Experiment Dev is an agent skill from OpenLAIR/dr-claw. Creates implementation plan, writes project code with judge feedback loop, and submits final experiment run. Use after code-survey in both Idea and Plan branches.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `prompts/build_iteration_query.md`, `prompts/build_judge_query.md` and `prompts/build_judge_simple_query.md`).

It sits in Agent Workflows, covering Planning. The repository describes itself as: A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.

When your agent uses it

  • Tasks that involve Planning

Example prompts

  • “Use the inno-experiment-dev skill to create implementation plan, writes project code with judge feedback loop, and submits final experiment run”
  • “/inno-experiment-dev”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Create Implementation Plan
  2. Implement and Iterate
  3. Submit Experiment

What it can do on your machine

Read from SKILL.md and the folder at commit d51b64e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Inno Experiment Dev loads about 2.3k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 803 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 803 words (~2,295 tokens).

“Merges the former inno-implementation-plan, inno-ml-dev-iteration, and the submit step of inno-experiment-submit-refine. Mirrors _create_implementation_plan (830-858), _implement_and_iterate (861-920), and the submit portion of _submit_and_refine_experiments (922-945) in run_infer_idea_ours.py.”

— opening of SKILL.md by OpenLAIR, Custom licence
name
inno-experiment-dev

Read the full SKILL.md on GitHub

Files

SKILL.md and 9 other files (references) in skills/inno-experiment-dev of OpenLAIR/dr-claw.

  • SKILL.md
  • prompts/build_iteration_query.md
  • prompts/build_judge_query.md
  • prompts/build_judge_simple_query.md
  • prompts/build_ml_dev_query.md
  • prompts/build_plan_query.md
  • prompts/build_submit_query.md
  • references/coding_plan_agent.md
  • references/judge_agent_instructions.md
  • references/ml_agent_instructions.md

Open the folder on GitHubat commit d51b64e

Compare with similar skills

Inno Experiment Dev next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Inno Experiment Dev compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Inno Experiment Dev this skillOpenLAIR/dr-claw1.2k—~2.3kAutomated safety check: PassCustom licence
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills102k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16356 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone

Similar skills

  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    296k GitHub starsUsed in 2 repos~5.1k tokens
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  • Interview Me

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    71k GitHub starsUsed in 1 repo~4.5k tokens
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  • Writing Plans

    geeksblabla/stateofdev.ma

    A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…

    163 GitHub starsUsed in 56 repos~661 tokens
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  • Subagent Driven Development

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  • Planning With Files

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Categories

Questions about Inno Experiment Dev

What does Inno Experiment Dev do?

Creates implementation plan, writes project code with judge feedback loop, and submits final experiment run. Inno Experiment Dev is an agent skill from OpenLAIR/dr-claw. Creates implementation plan, writes project code with judge feedback loop, and submits final experiment run.

When should I use Inno Experiment Dev?

Inno Experiment Dev fits situations like: tasks that involve Planning.

How do I install Inno Experiment Dev in Claude Code?

Run `npx skills add OpenLAIR/dr-claw --skill inno-experiment-dev -a claude-code`. Or copy the skill folder (skills/inno-experiment-dev in OpenLAIR/dr-claw) into .claude/skills/inno-experiment-dev in your project. Claude Code loads it when a task matches its description.

How do I install Inno Experiment Dev in Codex?

Run `npx skills add OpenLAIR/dr-claw --skill inno-experiment-dev -a codex`. Or copy the skill folder (skills/inno-experiment-dev in OpenLAIR/dr-claw) into .agents/skills/inno-experiment-dev in your project. Codex loads it when a task matches its description.

Can I use Inno Experiment Dev in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenLAIR/dr-claw --skill inno-experiment-dev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inno-experiment-dev, .gemini/skills/inno-experiment-dev, .github/skills/inno-experiment-dev and .opencode/skills/inno-experiment-dev in your project.

What does Inno Experiment Dev need to run?

Going by SKILL.md and its folder, Inno Experiment Dev needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Inno Experiment Dev access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Inno Experiment Dev safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Inno Experiment Dev use?

Inno Experiment Dev has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Inno Experiment Dev use?

About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Inno Experiment Dev?

Skills that share tags, products or a category with Inno Experiment Dev: Executing Plans Inline (obra/superpowers, 296k stars), Interview Me (addyosmani/agent-skills, 102k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Inno Experiment Dev?

OpenLAIR (a GitHub organization) maintains it in OpenLAIR/dr-claw, which has 1,152 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on September 17, 2026.

Source: OpenLAIR/dr-claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.