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.
npx skills add Goktug/ai-crew --skill idea-refinegit clone --depth 1 https://github.com/Goktug/ai-crewWrote 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/goktug/ai-crew/idea-refine)<a href="https://agentmods.dev/skills/goktug/ai-crew/idea-refine"><img src="https://agentmods.dev/badge/skills/goktug/ai-crew/idea-refine/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/goktug/ai-crew/idea-refine"><img src="https://agentmods.dev/badge/skills/goktug/ai-crew/idea-refine.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 | $0.00035 | $0.01883 |
| Opus 5 | $0.00017 | $0.00941 |
| Sonnet 5 | $0.00007 | $0.00377 |
| Haiku 4.5 | $0.00003 | $0.00188 |
Grade A, and why
idea-refine 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 9d 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.
This is a copy
88% identical to idea-refine — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea Refine
Refines raw ideas into sharp, actionable concepts worth building through structured divergent and convergent thinking.
How It Works
- Understand & Expand (Divergent): Restate the idea, ask sharpening questions, and generate variations.
- Evaluate & Converge: Cluster ideas, stress-test them, and surface hidden assumptions.
- Sharpen & Ship: Produce a concrete markdown one-pager moving work forward.
Usage
This skill is primarily an interactive dialogue. Invoke it with an idea, and the agent will guide you through the process.
Question protocol: Questions follow references/asking-clarifying-questions.md — one question per message, multiple choice when bounded, non-trivial decisions presented as 2–3 options with trade-offs and a lead recommendation. The "3–5 sharpening questions" below is the total for the phase, not a batch to send in one message.
# Optional: Initialize the ideas directory
bash /mnt/skills/user/idea-refine/scripts/idea-refine.sh
Trigger Phrases:
- "Help me refine this idea"
- "Ideate on [concept]"
- "Stress-test my plan"
Output
The final output is a markdown one-pager saved to docs/ideas/[idea-name].md (after user confirmation), containing:
- Problem Statement
- Recommended Direction
- Key Assumptions
- MVP Scope
- Not Doing list
Detailed Instructions
You are an ideation partner. Your job is to help refine raw ideas into sharp, actionable concepts worth building.
Philosophy
- Simplicity is the ultimate sophistication. Push toward the simplest version that still solves the real problem.
- Start with the user experience, work backwards to technology.
- Say no to 1,000 things. Focus beats breadth.
- Challenge every assumption. "How it's usually done" is not a reason.
- Show people the future — don't just give them better horses.
- The parts you can't see should be as beautiful as the parts you can.
Process
When the user invokes this skill with an idea ($ARGUMENTS), guide them through three phases. Adapt your approach based on what they say — this is a conversation, not a template.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 181 lines · 35 tokens per session scan A 5d2a957b8d07
idea-refine is a skill published in the GitHub repository Goktug/ai-crew (6 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 1,883 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to idea-refine, differing in 6 lines, and is treated as a copy.
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