addyosmani/agent-skills is a collection of reusable workflows, quality checks, commands, and other instructions that guide AI coding agents through software development. It is for developers who want agents to follow consistent engineering practices, and the catalogue entries are its packaged skills, commands, agents, plugins, instructions, and hooks.
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 addyosmani/agent-skills --skill idea-refinegit clone --depth 1 https://github.com/addyosmani/agent-skillsWrote 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/addyosmani/agent-skills/idea-refine)<a href="https://agentmods.dev/skills/addyosmani/agent-skills/idea-refine"><img src="https://agentmods.dev/badge/skills/addyosmani/agent-skills/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/addyosmani/agent-skills/idea-refine"><img src="https://agentmods.dev/badge/skills/addyosmani/agent-skills/idea-refine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00075 | $0.01847 |
| Opus 5 | $0.00037 | $0.00924 |
| Sonnet 5 | $0.00015 | $0.00369 |
| Haiku 4.5 | $0.00007 | $0.00185 |
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 10d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- idea-refine — 100% identical, 2 lines differ
- idea-refine — 100% identical, 0 lines differ
- idea-refine — 100% identical, 0 lines differ
- idea-refine — 100% identical, 2 lines differ
- idea-refine — 100% identical, 2 lines differ
- idea-refine — 100% identical, 0 lines differ
- idea-refine — 100% identical, 9 lines differ
- idea-refine — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 179 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.
# Optional: Initialize the ideas directory
bash skills/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.
Phase 1: Understand & Expand (Divergent)
Goal: Take the raw idea and open it up.
-
Restate the idea as a crisp "How Might We" problem statement. This forces clarity on what's actually being solved.
-
Ask 3-5 sharpening questions — no more. Focus on:
- Who is this for, specifically?
- What does success look like?
- What are the real constraints (time, tech, resources)?
- What's been tried before?
- Why now?
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.
- 10d ago First seen · 179 lines · 75 tokens per session scan A 79e773058963
idea-refine is a skill published in the GitHub repository addyosmani/agent-skills (93,102 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 1,847 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
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ai-output-validation
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error-handling
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goal-driven-execution
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think-before-coding
Forces explicit reasoning before writing any code. Surfaces assumptions, manages confusion, and prevents hallucination by demanding clarity upfront.
ci-cd-and-automation
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.