Research Idea Evaluator
HKUSTDial/Supervisor-Skills
Evaluates a draft research idea like a top-venue reviewer and advisor, scoring it on five dimensions, checking fit with your capacity and returning a clear verdict.
Evaluates an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether it's worth pursuing.
MITAuto-check passed
Install Idea Evaluator
$ npx skills add sickn33/agentic-awesome-skills --skill idea-evaluator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills idea-evaluator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/idea-evaluator .claude/skills/idea-evaluator && rm -rf skills-srcUse ~/.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/
Install the "idea-evaluator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/idea-evaluator into .claude/skills/idea-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-evaluator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/idea-evaluatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill idea-evaluator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills idea-evaluator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/idea-evaluator .agents/skills/idea-evaluator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "idea-evaluator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/idea-evaluator into .agents/skills/idea-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-evaluator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill idea-evaluator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills idea-evaluator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/idea-evaluator .cursor/skills/idea-evaluator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "idea-evaluator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/idea-evaluator into .cursor/skills/idea-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-evaluator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/idea-evaluator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill idea-evaluator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills idea-evaluator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/idea-evaluator .gemini/skills/idea-evaluator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "idea-evaluator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/idea-evaluator into .gemini/skills/idea-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-evaluator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills idea-evaluatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill idea-evaluator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/idea-evaluator .github/skills/idea-evaluator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "idea-evaluator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/idea-evaluator into .github/skills/idea-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-evaluator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill idea-evaluator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills idea-evaluator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/idea-evaluator .opencode/skills/idea-evaluator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "idea-evaluator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/idea-evaluator into .opencode/skills/idea-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-evaluator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
idea-evaluator- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~930 tokens
- SKILL.md length
- 481 words
- Files
- 1
- Skills in repo
- 1,354
- Repo updated
- First seen
- Licence
- MIT
At a glance
Evaluates an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether it's worth pursuing.
- Works in 3 steps: Initialize the Debate → The Debate (3 Turns) → Final Verdict
- SKILL.md covers Overview, When to Use This Skill, How It Works and Examples, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Idea Evaluator is an agent skill from sickn33/agentic-awesome-skills. Evaluates an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether it's worth pursuing.
Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Example prompts
- “Use the idea-evaluator skill to evaluate an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether…”
- “/idea-evaluator”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit ec02547. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Idea Evaluator loads about 930 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 481 words of instructions outside code blocks.
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
The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 481 words, ~930 tokens.
Download SKILL.mdSave it as
.claude/skills/idea-evaluator/SKILL.md (or your agent's skills folder).- name
- idea-evaluator
- description
- Evaluates an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether it's worth pursuing.
- category
- agent-orchestration
- risk
- safe
- source
- self
- source_type
- self
- date_added
- 2026-09-18
- author
- Prince-1652
- tags
- ideation, validation, debate, multi-agent
- tools
- claude, gemini
Idea Evaluator Orchestrator
Overview
The Idea Evaluator skill acts as an impartial judge for evaluating new concepts, features, or project ideas. It takes an initial idea from the user and orchestrates a structured, multi-turn debate between two simulated personas: a logical supporter (Pro Agent) and a constructive critic (Con Agent).
By pitting these two perspectives against each other, it surfaces the strongest arguments for both sides before delivering a comprehensive final verdict on whether the idea is worth building.
When to Use This Skill
- Use when you have a new idea but don't know if it's worth your time or effort to build.
- Use when evaluating potential features for a product to decide on priorities.
- Use when you want to rigorously stress-test an assumption before committing code.
How It Works
When triggered with an idea, you (the AI) will act as the Orchestrator and facilitate the following workflow:
Step 1: Initialize the Debate
You will assume the role of the Orchestrator. Introduce the debate and clearly state the idea being evaluated. Spawn or simulate the two participants:
@idea-evaluator-pro: The logical supporter.@idea-evaluator-con: The constructive critic.
Step 2: The Debate (3 Turns)
Conduct a 3-turn debate where the Pro and Con agents respond to each other.
- Turn 1 (Initial Pitches): Pro presents the strongest case for the idea. Con presents the strongest immediate risks and flaws.
- Turn 2 (Rebuttals): Pro addresses Con's risks. Con challenges Pro's optimism.
- Turn 3 (Closing Statements): Both agents summarize their final stance on why the idea will succeed or fail.
Note: Ensure the agents do not blindly agree/disagree but base their arguments on logic, market realities, and technical feasibility.
Show full SKILL.md (208 more words)Show less
Step 3: Final Verdict
Once the debate concludes, the Orchestrator steps in as the Judge. Provide a comprehensive summary formatted with:
- Pros: The strongest validated points in favor.
- Cons: The most critical risks identified.
- Final Verdict: A definitive recommendation (e.g., "Strongly Recommended", "Proceed with Caution", "Pivot Required", "Not Worth Building").
- Why: A brief justification summarizing the debate outcome.
Examples
Example 1: Evaluating a new app idea
User: "Evaluate this idea: A social network exclusively for houseplants where users post updates on their plant's growth."
Agent: (Proceeds to run the 3-turn debate between Pro and Con, followed by the Orchestrator's final verdict detailing the niche appeal versus retention challenges).
Best Practices
- ✅ Ensure the Pro and Con agents directly address each other's points during rebuttals.
- ✅ The Orchestrator must remain strictly neutral until the Final Verdict.
- ❌ Don't let the agents devolve into generic AI pleasantries; keep the debate sharp and analytical.
- ❌ Don't skip the debate steps; the back-and-forth is crucial for deep validation.
Limitations
- The verdict is based on simulated reasoning and logic, not actual market data or user feedback.
- This skill is for brainstorming and validation, not a guarantee of business success.
Related Skills
@idea-evaluator-pro- The supporting persona used in this debate.@idea-evaluator-con- The critical persona used in this debate.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/idea-evaluator of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit ec02547
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Idea Evaluator 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Idea Evaluator this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~930 | Automated safety check: Pass | MIT | |
| Research Idea EvaluatorHKUSTDial/Supervisor-Skills | 8.5k | — | ~3.4k | Automated safety check: Pass | CC-BY-4.0 | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 2 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 32k | 13 repos | ~3.5k | Automated safety check: Pass | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Evaluating Startup IdeasRefoundAI/lenny-skills | 1.4k | — | ~1.7k | Automated safety check: Pass | MIT |
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LLM Evaluation
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Evaluating Startup Ideas
RefoundAI/lenny-skills
Help users distinguish between deceptive tarpit ideas and high-potential opportunities by applying rigorous frameworks for market timing, business math, and user demand.
- Official
Creating Online Evaluations
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Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified.
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Questions about Idea Evaluator
What does Idea Evaluator do?
Evaluates an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether it's worth pursuing. Idea Evaluator is an agent skill from sickn33/agentic-awesome-skills. Evaluates an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether it's worth pursuing.
How do I install Idea Evaluator in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill idea-evaluator -a claude-code`. Or copy the skill folder (skills/idea-evaluator in sickn33/agentic-awesome-skills) into .claude/skills/idea-evaluator in your project. Claude Code loads it when a task matches its description.
How do I install Idea Evaluator in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill idea-evaluator -a codex`. Or copy the skill folder (skills/idea-evaluator in sickn33/agentic-awesome-skills) into .agents/skills/idea-evaluator in your project. Codex loads it when a task matches its description.
Can I use Idea Evaluator 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 sickn33/agentic-awesome-skills --skill idea-evaluator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/idea-evaluator, .gemini/skills/idea-evaluator, .github/skills/idea-evaluator and .opencode/skills/idea-evaluator in your project.
What does Idea Evaluator need to run?
SKILL.md names no scripts, command-line tools or credentials: Idea Evaluator is instructions for the agent only.
Does Idea Evaluator 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 Idea Evaluator 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 Idea Evaluator use?
Idea Evaluator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Idea Evaluator use?
About 930 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Idea Evaluator?
Skills that share tags, products or a category with Idea Evaluator: Research Idea Evaluator (HKUSTDial/Supervisor-Skills, 8.5k stars), Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars) and Evaluators (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Idea Evaluator?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.