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/yonatangross/orchestkitnpx agentmods add commands/yonatangross/orchestkit/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/commands/yonatangross/orchestkit/brainstorm)<a href="https://agentmods.dev/commands/yonatangross/orchestkit/brainstorm"><img src="https://agentmods.dev/badge/commands/yonatangross/orchestkit/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/commands/yonatangross/orchestkit/brainstorm"><img src="https://agentmods.dev/badge/commands/yonatangross/orchestkit/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 | $0.00087 | $0.07183 |
| Opus 5.5 | $0.00035 | $0.02873 |
| Sonnet 5.5 | $0.00017 | $0.01437 |
| Haiku 4.5 | $0.00009 | $0.00718 |
Grade A, and why
brainstorm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 487 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto-generated from skills/brainstorm/SKILL.md
Source: https://github.com/yonatangross/orchestkit
Brainstorming Ideas Into Designs
Host-neutral workflow. Invoke by skill name (brainstorm). Claude Code slash routing, YAML hook loaders, and .claude/chain live in skills/brainstorm/references/claude-code.md.
Transform rough ideas into fully-formed designs through intelligent agent selection and structured exploration.
Core principle: Analyze the topic, select relevant agents dynamically, explore alternatives in parallel, present design incrementally.
Argument Resolution
TOPIC = "$ARGUMENTS" # Full argument string, e.g., "API design for payments"
# $ARGUMENTS[0] is the first token (CC 2.1.59 indexed access)
STEP -1: MCP Probe + Resume Check
Probe MCP servers once at skill start, store capabilities, and resume from any prior crashed session. Each phase emits a JSON handoff file consumed by the next.
Full procedure + handoff-file table: Read("skills/brainstorm/references/mcp-probe-resume.md")
STEP 0: Project Context Discovery
Load context first. A fork skill never runs frontmatter hooks (#4683), so run the loader yourself and keep its additionalContext in mind:
echo '{"tool_name":"Bash","tool_input":{}}' | node "hooks/bin/run-hook.mjs" skill/prior-decisions-loader
echo '{"tool_name":"Bash","tool_input":{}}' | node "hooks/bin/run-hook.mjs" skill/brainstorm-instructions-loader
BEFORE creating tasks or selecting agents, detect the project tier. This becomes the complexity ceiling for all downstream decisions.
Auto-Detection (scan codebase)
# PARALLEL — quick signals (launch all in ONE message)
Grep(pattern="take-home|assignment|interview|hackathon", glob="README*", output_mode="content")
Grep(pattern="take-home|assignment|interview|hackathon", glob="*.md", output_mode="content")
Glob(pattern=".github/workflows/*")
Glob(pattern="**/Dockerfile")
Glob(pattern="**/terraform/**")
Glob(pattern="**/k8s/**")
Glob(pattern="CONTRIBUTING.md")
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.
- 5d ago Changed · +7 lines 4cde0f7862f7
- 12d ago Changed · +2 lines 4ed187006ba0
- 15d ago Changed · +2 lines e3b28b0dcc69
- 17d ago Changed f5eef77f4c48
- 21d ago Changed a8dbcd5f05c5
- 23d ago Changed · +2 lines 3824198db948
- 1mo ago Changed · +2 lines a8b261bd10c8
- 1mo ago Changed 30d1a7bb0cf7
- 1mo ago First seen · 472 lines · 87 tokens per session scan A 2b26fd7d4909
brainstorm is a command published in the GitHub repository yonatangross/orchestkit (295 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 7,183 once invoked, about $0.0003 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 2026-08-30.
Other commands, from other repositories
bug
Reproduce then TDD-fix a ready-for-agent bug ticket in this checkout. Web bugs get a browser repro first.
pn-distill
Remove content, sections, and features that don't earn their place — information architecture reduction. Use when there's too much stuff on the page. For visual decoration reduction, use pn-quieter.
distil-shadow
Decision-equivalence report — did compression preserve your agent's next action?
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.