Borrowing it
Nothing to install: this file belongs to Smart-AI-Memory/attune-ai. 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/Smart-AI-Memory/attune-ai/main/.agents/skills/brainstorm/SKILL.mdgit clone --depth 1 https://github.com/Smart-AI-Memory/attune-aiWrote 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/smart-ai-memory/attune-ai/brainstorm)<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/brainstorm"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/brainstorm.svg" alt="Measured on agentmods" 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 | $0.00012 | $0.01344 |
| Opus 5 | $0.00006 | $0.00672 |
| Sonnet 5 | $0.00002 | $0.00269 |
| Haiku 4.5 | $0.00001 | $0.00134 |
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 7d 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
brainstorm
Guided brainstorming that turns fuzzy thinking into concrete plans.
One conversation. Clear outcome.
Routes
| Shortcut | Behavior |
|---|---|
/brainstorm |
Full open discovery |
/brainstorm "topic" |
Start with context pre-filled |
/brainstorm plan |
Skip to goals/planning |
Note: Brainstorm is conversational — not routed like
other commands. There are no ### behavior sections.
The phases (Context, Problem, Goals, End State) flow
naturally through the conversation.
How It Works
Type /brainstorm and I'll think through the problem with
you. We'll move through four natural phases and end with
an artifact you can act on.
/brainstorm # Start open discovery
/brainstorm "flaky CI tests" # Start with context
/brainstorm plan # Jump closer to planning
Conversation Flow
Opening
I'll help you think this through. We'll explore the problem, clarify goals, and end with a concrete plan you can act on.
What are you working on?
Phases
The conversation moves through four phases. Show a breadcrumb for orientation. Use soft checkpoints when alignment is uncertain.
Breadcrumb format:
Context > Problem > Goals > End State > Plan
done here
| Phase | AI's Job | Advance when... |
|---|---|---|
| Context | Listen, ask follow-ups, understand the situation | Situation is clear |
| Problem | Mirror back understanding, challenge assumptions | Core issue is agreed on |
| Goals | Distinguish must-haves from nice-to-haves | Success criteria defined |
| End State | Make it concrete and testable | "Done" is unambiguous |
AI Behavior Rules
Three moves per turn — pick one:
- Mirror — "So the core issue is X" (confirm understanding)
- Challenge — "But is it actually Y?" (push deeper, question assumptions)
- Advance — "OK, what does done look like?" (move to next phase)
Transition rules:
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.
- 7d ago First seen · 210 lines · 12 tokens per session scan A c3bccda57208
brainstorm is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 12 tokens to every session and 1,344 once invoked, about $0.0001 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.
Other skills, from other repositories
eco-max
Maximum-savings variant of /eco - the same frugality rules PLUS a low reasoning-effort override for the invoked task. Use for routine chores (rename, small fix, quick question, boilerplate) when the user wants absolute minimum token spend; prefer plain /eco for hard or high-stakes work. Works in any language.
wiki-ingest
Ingest a source into the project wiki as OKF v0.2 markdown. Point at a file, PR, or doc and the wiki-curator extracts knowledge, writes YAML frontmatter, and updates relevant concept pages.
wiki-lint
Health-check the project wiki for OKF v0.2 conformance — missing frontmatter, missing type:, malformed index.md/log.md, stale pages past staleafter, broken cross-references, and coverage gaps.
run
Run a full pipeline for a task. Orchestrates roles through stages (standalone or HOTL-integrated).
ci-repair
Fix CI failures by fetching GitHub Actions logs, dispatching dev to fix, verifying locally, and pushing.
deepdive
Full specialist analysis via parallel agent dispatch. Researcher, Architect, and PM produce a prioritized report of what to build next (30-60s).