Borrowing it
Nothing to install: this file belongs to guillermoscript/lms-front. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/guillermoscript/lms-front/master/.agents/skills/brainstorming/SKILL.mdgit clone --depth 1 https://github.com/guillermoscript/lms-frontWrote 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/guillermoscript/lms-front/brainstorming)<a href="https://agentmods.dev/skills/guillermoscript/lms-front/brainstorming"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/brainstorming/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/guillermoscript/lms-front/brainstorming"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/brainstorming.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 | $0.00037 | $0.03784 |
| Opus 5.5 | $0.00015 | $0.01514 |
| Sonnet 5.5 | $0.00007 | $0.00757 |
| Haiku 4.5 | $0.00004 | $0.00378 |
Grade A, and why
brainstorming 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.
This is a copy
100% identical to brainstorming — 398 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 — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorming Ideas Into Designs
Help turn ideas into fully formed designs and specs through natural collaborative dialogue.
Start by classifying how much process the request needs, then work through your path: understand the context, refine the idea, present a design, and get your human partner's approval.
Establish Shared Understanding
The outcome of brainstorming is an understanding your human partner can recognize and correct, grounded in what they want to accomplish.
- Discover intent. Use the request and available context to identify the intended outcome, who it is for, and what success looks like. When that information is missing, ask one focused question about purpose or intended use before proposing features or an approach. Knowing the app genre does not tell you why your partner wants it. Gathering missing requirements does not ask them to authorize the task again.
- Write back your understanding. Summarize the intended outcome, relevant constraints, and success criteria in a short note your partner can assess. Separate what they said from assumptions. Invite correction and incorporate their answer before treating this as the design brief.
- Carry intent into the design. Preserve the agreed understanding in the selected path's design artifact: the written spec for architectural work, or the in-chat design/probe for bounded work and spikes. Check proposed features and technical choices against that understanding.
When the request already supplies the purpose and constraints, reflect that understanding instead of asking the same questions again. Keep the note concise; its accuracy and the opportunity to correct it matter.
- Spike: the human partner approves the question and probe.
- Bounded: the human partner approves the short in-chat design.
- Architectural: the human partner reviews and approves the written spec, then reviews the written implementation plan and selects its execution method. Conversational design approval only permits writing the spec; written-spec approval only permits invoking writing-plans.
What ships with it
7 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 Changed · +35 lines a32d22553547
- 1mo ago First seen · 251 lines · 37 tokens per session scan A 74edf03ea6d2
brainstorming is a skill published in the GitHub repository guillermoscript/lms-front (40 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 3,784 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to brainstorming, differing in 398 lines, and is treated as a copy.
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