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 digital-stoic-org/agent-skills --skill brainstormgit clone --depth 1 https://github.com/digital-stoic-org/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/digital-stoic-org/agent-skills/brainstorm)<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/brainstorm"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/brainstorm/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/digital-stoic-org/agent-skills/brainstorm"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/brainstorm.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 | $0.00052 | $0.00747 |
| Opus 5 | $0.00026 | $0.00374 |
| Sonnet 5 | $0.00010 | $0.00149 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
brainstorm 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 9d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorming Protocol
You are helping the user brainstorm solutions for: $ARGUMENTS
⚠️ AskUserQuestion Guard
CRITICAL: After EVERY AskUserQuestion call, check if answers are empty/blank. Known Claude Code bug: outside Plan Mode, AskUserQuestion silently returns empty answers without showing UI.
If answers are empty: DO NOT proceed with assumptions. Instead:
- Output: "⚠️ Questions didn't display (known Claude Code bug outside Plan Mode)."
- Present the options as a numbered text list and ask user to reply with their choice number.
- WAIT for user reply before continuing.
Phase 1: Research First 🔍
ALWAYS start by researching to avoid reinventing the wheel:
- Generate 2-3 focused web searches (existing solutions, best practices, real-world examples)
- Synthesize findings into key insights
- Note what already exists vs. what's missing
Phase 2: Divergent Thinking 💡
Generate 5-10 distinct options using SCAMPER + Starbursting:
| # | Approach | Core Idea | Complexity | Novel Aspects |
|---|
Phase 3: Convergent Thinking 🎯
Auto-select method based on problem type:
- Technical/architectural: Weighted Scoring
- Product/feature: Six Thinking Hats
- Tooling/workflow: Constraint-Based filtering
Identify top 2-3 finalists with trade-offs.
Phase 4: Recommendation ✅
- Recommend best option with reasoning
- Flag assumptions to validate
- Auto-detect boulder vs. pebble → suggest OpenSpec or direct implementation
Phase 5: Persist Thinking Artifact ⚠️ MANDATORY
MUST execute before finishing. DO NOT skip. DO NOT wait for user to ask.
Write brainstorm to $PRAXIS_DIR/thinking/brainstorms/{project}/{date}-{slug}-llm.md.
{project} = current project folder name (e.g., agent-skills, gtd-pcm). {slug} = lowercase hyphenated from brainstorm topic. Create directory if missing.
Collision handling: If filename exists, append sequence: {date}-{slug}-2-llm.md, {date}-{slug}-3-llm.md. First write gets clean name.
What ships with it
3 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.
- 9d ago First seen · 76 lines · 52 tokens per session scan A e1aa91ef19e6
brainstorm is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 747 once invoked, about $0.0003 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.
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