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 ivanshtokov/copilot-kit --skill brainstorminggit clone --depth 1 https://github.com/ivanshtokov/copilot-kitWrote 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/ivanshtokov/copilot-kit/brainstorming)<a href="https://agentmods.dev/skills/ivanshtokov/copilot-kit/brainstorming"><img src="https://agentmods.dev/badge/skills/ivanshtokov/copilot-kit/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/ivanshtokov/copilot-kit/brainstorming"><img src="https://agentmods.dev/badge/skills/ivanshtokov/copilot-kit/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 | $0.00033 | $0.01084 |
| Opus 5.5 | $0.00013 | $0.00434 |
| Sonnet 5.5 | $0.00007 | $0.00217 |
| Haiku 4.5 | $0.00003 | $0.00108 |
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.
This is a copy
84% identical to brainstorming — 20 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorming & Communication Protocol
MANDATORY: Use for complex/vague requests, new features, updates.
🛑 SOCRATIC GATE (ENFORCEMENT)
When to Trigger
| Pattern | Action |
|---|---|
| "Build/Create/Make [thing]" without details | 🛑 ASK 3 questions |
| Complex feature or architecture | 🛑 Clarify before implementing |
| Update/change request | 🛑 Confirm scope |
| Vague requirements | 🛑 Ask purpose, users, constraints |
🚫 MANDATORY: 3 Questions Before Implementation
- STOP - Do NOT start coding
- ASK - Minimum 3 questions:
- 🎯 Purpose: What problem are you solving?
- 👥 Users: Who will use this?
- 📦 Scope: Must-have vs nice-to-have?
- WAIT - Get response before proceeding
🧠 Dynamic Question Generation
⛔ NEVER use static templates. Read dynamic-questioning.md for principles.
Core Principles
| Principle | Meaning |
|---|---|
| Questions Reveal Consequences | Each question connects to an architectural decision |
| Context Before Content | Understand greenfield/feature/refactor/debug context first |
| Minimum Viable Questions | Each question must eliminate implementation paths |
| Generate Data, Not Assumptions | Don't guess—ask with trade-offs |
Question Generation Process
1. Parse request → Extract domain, features, scale indicators
2. Identify decision points → Blocking vs. deferable
3. Generate questions → Priority: P0 (blocking) > P1 (high-leverage) > P2 (nice-to-have)
4. Format with trade-offs → What, Why, Options, Default
Question Format (MANDATORY)
### [PRIORITY] **[DECISION POINT]**
**Question:** [Clear question]
**Why This Matters:**
- [Architectural consequence]
- [Affects: cost/complexity/timeline/scale]
**Options:**
| Option | Pros | Cons | Best For |
|--------|------|------|----------|
| A | [+] | [-] | [Use case] |
**If Not Specified:** [Default + rationale]
For detailed domain-specific question banks and algorithms, see: dynamic-questioning.md
What ships with it
1 file 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.
- 1mo ago First seen · 163 lines · 33 tokens per session scan A ebfbe334197f
brainstorming is a skill published in the GitHub repository ivanshtokov/copilot-kit (4 stars, last pushed 9mo ago), licensed MIT. It adds 33 tokens to every session and 1,084 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 84% identical to brainstorming, differing in 20 lines, and is treated as a copy.
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