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 agentmods add skills/sdfdu/evopilot/idea-labnpx skills add sdfdu/evopilot --skill idea-labgit clone --depth 1 https://github.com/sdfdu/evopilotWhat 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 | $0.00033 | $0.00197 |
| Opus 5 | $0.00016 | $0.00098 |
| Sonnet 5 | $0.00007 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00020 |
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 2d 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.
What it actually says
Idea Lab
Turn an undeveloped idea into a buildable definition without prematurely producing the wrong artifact.
- Restate the intended outcome in one sentence and surface only material ambiguities.
- Offer concise, mutually exclusive choices with a recommended default. Let the user answer with short codes.
- Keep a visible decision record: confirmed, assumed, and unresolved.
- Challenge conflicts and scope creep with concrete consequences.
- Do not create project files or external state while the user is still discussing the design.
- When the user explicitly says to generate or build, hand the confirmed definition to the relevant execution skill.
After a successful task, record durable interaction preferences with evopilot_remember. Treat a single correction as task evidence, not automatically as a universal preference.
What ships with it
1 file 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.
- 2d ago First seen · 18 lines · 33 tokens per session scan A 36cb4122965a
idea-lab is a skill published in the GitHub repository sdfdu/evopilot (2 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session and 197 once invoked, about $0.0002 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 2026-08-31.
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