Agent skill

Inno Idea Eval

by OpenLAIR in OpenLAIR/dr-claw

Multi-persona idea evaluation with quality gate. An agent skill from OpenLAIR/dr-claw.

Custom licenceAuto-check passedTesting & QA

Install Inno Idea Eval

skills CLI
$ npx skills add OpenLAIR/dr-claw --skill inno-idea-eval -a claude-code

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

GitHub CLI
$ gh skill install OpenLAIR/dr-claw inno-idea-eval --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-idea-eval .claude/skills/inno-idea-eval && 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-idea-eval
GitHub stars
1.2k
Token cost
~5.4k tokens
SKILL.md length
1,608 words
Files
10 (incl. references)
Skills in repo
36
Repo updated
First seen
Licence
Custom licence

At a glance

Multi-persona idea evaluation with quality gate. An agent skill from OpenLAIR/dr-claw.

  • Works in 6 steps: Assemble Evidence → 5 -- Active Novelty Verification → Meta-Review → …
  • Tasks that involve Brainstorming
  • SKILL.md covers Directory structure, Inputs, Outputs and Cache file outputs, plus 3 more sections
  • Calls python3

What it does

Inno Idea Eval is an agent skill from OpenLAIR/dr-claw. Multi-persona idea evaluation with quality gate. Evaluates ideas across 5 InnoEval dimensions (Clarity, Novelty, Validity, Feasibility, Significance) using 3 reviewer personas and a meta-review. Sits between inno-idea-generation and inno-code-survey in the Idea branch. Use after inno-idea-generation.

Its SKILL.md is about 5.4k 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_eval_query.md`, `prompts/build_evidence_assembly.md` and `prompts/build_meta_review_query.md`).

It sits in Testing & QA, covering Brainstorming and Quality gates. 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 Brainstorming
  • Tasks that involve Quality gates

Example prompts

  • “/inno-idea-eval”

Workflow steps

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

  1. Assemble Evidence
  2. 5 -- Active Novelty Verification
  3. Meta-Review
  4. Quality Gate
  5. Refinement Loop (if triggered)
  6. Output

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:

    • python3

    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 Idea Eval loads about 5.4k tokens when it runs, and up to ~9.5k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 1,608 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~5.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.5k

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 1,608 words (~5,366 tokens).

“Paths for Ideation/ideas and Ideation/references come from instance.json (instance.Ideation.ideas, instance.Ideation.references). They are absolute in Dr. Claw-created projects; use as-is. If relative, resolve with path.join(project_path, value).”

— opening of SKILL.md by OpenLAIR, Custom licence
name
inno-idea-eval

Read the full SKILL.md on GitHub

Files

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

  • SKILL.md
  • prompts/build_eval_query.md
  • prompts/build_evidence_assembly.md
  • prompts/build_meta_review_query.md
  • prompts/build_novelty_analysis.md
  • prompts/build_novelty_queries.md
  • prompts/build_refinement_feedback_query.md
  • references/eval_agent_instructions.md
  • references/novelty_verification_config.md
  • references/reviewer_personas.md

Open the folder on GitHubat commit d51b64e

Compare with similar skills

Inno Idea Eval 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 Idea Eval compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Inno Idea Eval this skillOpenLAIR/dr-claw1.2k—~5.4kAutomated safety check: PassCustom licence
Ask Colleaguenickwinder/synthteam112—~1.4kAutomated safety check: PassNone
Dev ReviewFHIR/fhir-codegen155—~5kAutomated safety check: PassMIT
Suede MCP Release QAJasonColapietro/suede-creator-skills127—~2.1kAutomated safety check: PassMIT
Superpowers Feature WorkflowSYZ-Coder/superpowers-openspec-team-skills196—~891Automated safety check: PassMIT
Prompt Generatorcatlog22/Claude-Code-Workflow2.1k—~4.7kAutomated safety check: NotesMIT

Similar skills

  • Ask Colleague

    nickwinder/synthteam

    Consult a distilled persona of a colleague for their likely take, critique, or pushback on an idea — locally, without involving them.

    112 GitHub stars~1.4k tokensUpdated 4 mo ago
    Testing & QAAuto-check passed
  • Dev Review

    FHIR/fhir-codegen

    Performs a two-track code-quality and QA review in the roles of a staff-level Engineering Lead and QA Lead, then synthesizes both critiques into a single analysis.md.

    155 GitHub stars~5k tokensUpdated 2 days ago
    Testing & QAAuto-check passed
  • Suede MCP Release QA

    JasonColapietro/suede-creator-skills

    Checks a Suede AI MCP server release against a live process: the full JSON-RPC lifecycle, schemas, annotations, malformed input, catalog agreement and install docs.

    127 GitHub stars~2.1k tokensUpdated today
    Testing & QAAuto-check passed
  • Superpowers Feature Workflow

    SYZ-Coder/superpowers-openspec-team-skills

    A skill your agent uses when feature work needs the Superpowers stages before or during implementation: brainstorming, design confirmation, implementation planning, worktree setup, test-driven…

    196 GitHub stars~891 tokensUpdated 4 mo ago
    Testing & QAAuto-check passed
  • Prompt Generator

    catlog22/Claude-Code-Workflow

    Generate or convert Claude Code prompt files — command orchestrators, skill files, agent role definitions, or style conversion of existing files.

    2.1k GitHub stars~4.7k tokensUpdated 3 mo ago
    Testing & QAAuto-check: notes
  • Flow Parallel

    nyldn/claude-octopus

    Decompose and execute large changes, migrations, or multi-issue fixes in parallel with quality gates

    4.2k GitHub starsUsed in 1 repo~7.8k tokens
    Testing & QAAuto-check passed

More from OpenLAIR/dr-claw

All 36 skills in this repo
  • Analyzes reviewer comments and drafts venue-specific rebuttals for AI and computer science conferences, with an issue board, task list and paper edit plan.

    1.2k GitHub stars~4.9k tokensUpdated 22 days ago
    Auto-check: notes
  • Turns a research paper into a slide deck and, optionally, a narrated demo video, through script, slide generation, text-to-speech and video assembly stages you control.

    1.2k GitHub stars~1.5k tokensUpdated 22 days ago
    Auto-check passed
  • Clusters the latest news-feed results by topic and writes a briefing of research idea seeds with citations, plus a structured seeds file, without crawling new sources.

    1.2k GitHub stars~1.3k tokensUpdated 22 days ago
    Auto-check: notes
  • ML Dataset Discovery

    OpenLAIR/dr-claw

    Searches Hugging Face Hub, OpenML, GitHub and paper references for datasets that fit a research task and returns a ranked, de-duplicated table.

    1.2k GitHub stars~741 tokensUpdated 22 days ago
    Auto-check passed
  • Gemini Deep Research

    OpenLAIR/dr-claw

    Runs multi-source web research through Google's Gemini Deep Research Agent with a bundled Python script and saves a structured, cited report as files.

    1.2k GitHub stars~996 tokensUpdated 22 days ago
    Auto-check passed
  • Six-phase workflow for writing, revising and adapting grant proposals for NSF, NIH, DOE, DARPA, NASA and China's NSFC, from profiling through simulated peer review.

    1.2k GitHub stars~9.2k tokensUpdated 22 days ago
    Auto-check passed

Questions about Inno Idea Eval

What does Inno Idea Eval do?

Multi-persona idea evaluation with quality gate. An agent skill from OpenLAIR/dr-claw. Inno Idea Eval is an agent skill from OpenLAIR/dr-claw. Multi-persona idea evaluation with quality gate.

When should I use Inno Idea Eval?

Inno Idea Eval fits situations like: tasks that involve Brainstorming; tasks that involve Quality gates.

How do I install Inno Idea Eval in Claude Code?

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

How do I install Inno Idea Eval in Codex?

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

Can I use Inno Idea Eval 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-idea-eval -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-idea-eval, .gemini/skills/inno-idea-eval, .github/skills/inno-idea-eval and .opencode/skills/inno-idea-eval in your project.

What does Inno Idea Eval need to run?

Going by SKILL.md and its folder, Inno Idea Eval needs the command-line tools its instructions call (python3).

Does Inno Idea Eval 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 Idea Eval 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 Idea Eval use?

Inno Idea Eval 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 Idea Eval use?

About 5.4k tokens (SKILL.md is roughly 21k 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 4.2k tokens, read only when the agent opens those files.

What are the alternatives to Inno Idea Eval?

Skills that share tags, products or a category with Inno Idea Eval: Ask Colleague (nickwinder/synthteam, 112 stars), Dev Review (FHIR/fhir-codegen, 155 stars), Suede MCP Release QA (JasonColapietro/suede-creator-skills, 127 stars) and Superpowers Feature Workflow (SYZ-Coder/superpowers-openspec-team-skills, 196 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Inno Idea Eval?

OpenLAIR (a GitHub organization) maintains it in OpenLAIR/dr-claw, which has 1,155 GitHub stars. The repository holds 36 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.