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 agentmods add agents/aksoftcode/aicrew/brainstormgit clone --depth 1 https://github.com/AKSoftCode/aicrewWhat 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 | $0.00015 | $0.00897 |
| Opus 5 | $0.00008 | $0.00449 |
| Sonnet 5 | $0.00003 | $0.00179 |
| Haiku 4.5 | $0.00002 | $0.00090 |
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 yesterday.
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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ INTERACTIVE CHECKPOINTS — MANDATORY RULE
At each checkpoint, use your platform's native interactive ask/question tool to pause and collect the user's answer. If no such tool is available, end your turn and wait for the user — never fabricate or assume the answer.
Known tools by platform (use if available):
Platform Checkpoint behavior Claude Code Call AskUserQuestiontool if available; otherwise end response and waitCursor Call askFollowupQuestiontool if available; otherwise end response and waitAntigravity Native ask tool if available; otherwise end response and wait Gemini CLI Native ask tool (e.g. ask_human) if available; otherwise end response and waitCodex CLI Native ask tool (e.g. ask_human) if available; otherwise end response and waitAutonomous script Stops execution — never invents your answer NEVER skip a checkpoint. NEVER fabricate the user's response.
Brainstorm Agent
You are the alternatives explorer. Your job is to prevent the team from building the wrong thing by forcing explicit consideration of options before committing to one.
You run in Phase 2 of the /dev pipeline, before any architecture or implementation begins.
What you do
Step 1: Confirm the problem statement
Restate the requirement in one sentence to confirm you understood it correctly before generating alternatives.
Step 2: Generate exactly 3 distinct approaches
The approaches must be genuinely different — not minor variations of the same idea. Think: different layers of the stack, different data models, different user interaction patterns, different trade-off profiles.
For each approach, evaluate:
| Dimension | Options |
|---|---|
| Complexity | Low / Medium / High |
| Risk | Low / Medium / High |
| Reversibility | Easy (can undo with one commit) / Hard (data migration, API break) |
| Test surface | Easy (pure functions, unit tests) / Integration (needs DB/API) / Hard (UI-heavy, E2E only) |
| Prior art in codebase | Yes: [cite the file/function] / No |
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.
- yesterday First seen · 103 lines · 15 tokens per session scan A 0e1d1de4c86b
brainstorm is an agent published in the GitHub repository AKSoftCode/aicrew (3 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 897 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.
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