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 JuanMarchetto/agent-skills --skill idea-labgit clone --depth 1 https://github.com/JuanMarchetto/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/juanmarchetto/agent-skills/idea-lab)<a href="https://agentmods.dev/skills/juanmarchetto/agent-skills/idea-lab"><img src="https://agentmods.dev/badge/skills/juanmarchetto/agent-skills/idea-lab/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/juanmarchetto/agent-skills/idea-lab"><img src="https://agentmods.dev/badge/skills/juanmarchetto/agent-skills/idea-lab.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 | $0.00104 | $0.00925 |
| Opus 5 | $0.00052 | $0.00463 |
| Sonnet 5 | $0.00021 | $0.00185 |
| Haiku 4.5 | $0.00010 | $0.00093 |
Grade A, and why
idea-lab 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea Lab — Automated Idea Generation & Evaluation
Generate multiple diverse ideas, evaluate the best ones with 6-evaluator scoring, rank and surface the winners.
How It Works
/idea-lab "FinTech hackathon, 48h, team of 2, must use AI"
│
▼
Phase 0: Bootstrap ─── config.json + context setup
│
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Phase 1: Generate ─── N diverse ideas via forced divergence axes
│
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Phase 2: Pre-screen ─── quick 1-agent score per idea, filter weak ones
│
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══ PRE-SCREEN DASHBOARD ══ see all ideas ranked by estimate
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Phase 3: Deep Eval ─── top-K ideas → /architect (6 evaluators each)
│
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══ FINAL DASHBOARD ══ comparative matrix, top recommendation
│
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[expand N] — full evaluation details
[build N] — launch /founder-mode with the winner
[refine] — adjust context, generate more
[stop] — save and exit
Phases
| Phase | What It Does | Agent |
|---|---|---|
| 0 - Bootstrap | Config generation, context capture | bootstrapper.md |
| 1 - Generate | N ideas with forced diversity (SCAMPER, cross-domain, axis rotation) | generator.md |
| 2 - Pre-screen | Quick 1-agent score per idea, filters below threshold | prescreener.md |
| 3 - Deep Eval | Top-K ideas evaluated via /architect (6 parallel evaluators each) |
deep-evaluator.md |
| 4 - Ranking | Comparative matrix, scenario recommendations, top pick | ranker.md |
Diversity Engine
Ideas are forced to diverge across configurable axes:
- B2B SaaS, B2C consumer, open-source tool, educational, mobile-first
- SCAMPER method applied per idea
- Cross-domain analogies forced for at least 2 ideas
- Anti-obvious filter removes generic suggestions
Config
Generated at .idea-lab/config.json during bootstrap:
ideaCount: how many to generate (default 5, max 20)topK: how many advance to deep evaluation (default 3)minScore: minimum pre-screen score to advance (default 5.0)diversityAxes: categories for forced divergencedimensionFilters: e.g.,{"Commercial": 7}— only show ideas with Commercial >= 7
What ships with it
11 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.
- 6d ago First seen · 98 lines · 104 tokens per session scan A ae712467b1c7
idea-lab is a skill published in the GitHub repository JuanMarchetto/agent-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 104 tokens to every session and 925 once invoked, about $0.0005 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 2026-09-03.
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