Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/tianhanz/earsnpx agentmods add skills/tianhanz/ears/brainstormWrote 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/tianhanz/ears/brainstorm)<a href="https://agentmods.dev/skills/tianhanz/ears/brainstorm"><img src="https://agentmods.dev/badge/skills/tianhanz/ears/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/tianhanz/ears/brainstorm"><img src="https://agentmods.dev/badge/skills/tianhanz/ears/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 | $0.00111 | $0.00646 |
| Opus 5.5 | $0.00044 | $0.00258 |
| Sonnet 5.5 | $0.00022 | $0.00129 |
| Haiku 4.5 | $0.00011 | $0.00065 |
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 2mo 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Model Brainstorm
Run multiple LLM models in parallel to review/brainstorm a file from different perspectives.
The argument provided is: $ARGUMENTS
Step 1 — Parse arguments and run the script
Run the brainstorm script with the provided arguments:
python3 scripts/dev/brainstorm.py $ARGUMENTS
Available roles (--role)
| Role | Perspective |
|---|---|
reviewer |
Senior technical reviewer (default) |
scientist |
Working PI who needs reproducibility tools |
community-builder |
Experienced platform builder (StackOverflow, Reddit) |
red-team |
Adversary finding fatal flaws |
visionary |
5-year-ahead strategic thinker |
agent-developer |
AI agent developer wanting to participate in science |
Available styles (--style)
| Style | Output structure |
|---|---|
review |
Necessity → Design Quality → Improvements (default) |
brainstorm |
What's Right → Missing → Bold Ideas → Priority Reordering |
critique |
Fatal Flaws → Hidden Assumptions → Uncomfortable Questions → Rescue |
debate |
Contrarian position — strongest case against the current approach |
Examples
# Default review of README
python3 scripts/dev/brainstorm.py README.md
# Brainstorm the roadmap from a scientist's perspective
python3 scripts/dev/brainstorm.py docs/ROADMAP.md --role scientist --style brainstorm
# Red-team critique of the API design
python3 scripts/dev/brainstorm.py server/routes/challenges.py --role red-team --style critique
# Debate: argue against the current architecture
python3 scripts/dev/brainstorm.py CLAUDE.md --role visionary --style debate
Step 2 — Present results
Show the full output from all models. Then synthesize:
- Consensus — what do all models agree on?
- Unique insights — what did only one model suggest?
- Conflicts — where do models disagree? Which position is stronger?
- Action items — concrete next steps based on the synthesis
Step 3 — If the script fails
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.
- 2mo ago First seen · 70 lines · 111 tokens per session scan A 4d069dc65aa1
brainstorm is a skill published in the GitHub repository tianhanz/ears (6 stars, last pushed 6mo ago), licensed MIT. It adds 111 tokens to every session and 646 once invoked, about $0.0004 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.
brainstorm compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| brainstormtianhanz/ears | Skill | 6 | 6mo ago | MIT | A | 111 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |