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 KhaledSaeed18/dotclaude --skill brainstorminggit clone --depth 1 https://github.com/KhaledSaeed18/dotclaudeWrote 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/khaledsaeed18/dotclaude/brainstorming)<a href="https://agentmods.dev/skills/khaledsaeed18/dotclaude/brainstorming"><img src="https://agentmods.dev/badge/skills/khaledsaeed18/dotclaude/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/khaledsaeed18/dotclaude/brainstorming"><img src="https://agentmods.dev/badge/skills/khaledsaeed18/dotclaude/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 | $0.00073 | $0.00909 |
| Opus 5.5 | $0.00029 | $0.00364 |
| Sonnet 5.5 | $0.00015 | $0.00182 |
| Haiku 4.5 | $0.00007 | $0.00091 |
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 1mo 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Help shape a vague idea into a concrete, agreed design before anything gets built. The work is collaborative and conversational: understand what the user actually wants, surface the decisions hidden inside the request, weigh approaches together, and write the result down. The goal is a design the user has explicitly approved: not code, and not a plan yet.
Don't jump to implementation
Hold off on writing code, scaffolding a project, or invoking any build/plan skill until you've presented a design and the user has approved it. This holds even when the task looks trivial. "Too simple to need a design" is exactly where unexamined assumptions cause the most wasted work: a to-do app, a one-function utility, a config change all carry decisions worth naming. The design can be short (a few sentences for a genuinely simple thing), but present it and get a yes before moving on.
Step 1: Understand the context
Before asking anything, look at what already exists, relevant files, docs, recent commits, the surrounding code. Ground the conversation in the real project so your questions are about this idea in this context, not generic ones.
Step 2: Ask questions, one at a time
Refine the idea through dialogue, asking a single question at a time rather than a wall of them. You're after:
- Purpose: what problem this solves, and for whom.
- Constraints: technical limits, deadlines, things that must not change, existing patterns to fit.
- Success criteria: how you'll both know it's right when it's done.
- Scope edges: what's explicitly in, and what's explicitly out.
Let each answer shape the next question. This is where unstated assumptions get surfaced and corrected cheaply.
Step 3: Propose approaches with trade-offs
Once you understand the shape of the problem, put two or three viable approaches on the table. For each, give the trade-offs honestly, and say which one you'd recommend and why. Don't present a single option as if it were the only one, and don't bury your recommendation: the user is deciding, and they decide better with a clear comparison.
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.
- 1mo ago Changed · +4 lines 7db6041ad2ba
- 1mo ago First seen · 51 lines · 73 tokens per session scan A e5dff3695c82
brainstorming is a skill published in the GitHub repository KhaledSaeed18/dotclaude (5 stars, last pushed yesterday), licensed MIT. It adds 73 tokens to every session and 909 once invoked, about $0.0003 per session on Opus 5.5. 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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