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 skills/yonatangross/orchestkit/brainstormnpx skills add yonatangross/orchestkit --skill brainstormgit clone --depth 1 https://github.com/yonatangross/orchestkitWrote 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/yonatangross/orchestkit/brainstorm)<a href="https://agentmods.dev/skills/yonatangross/orchestkit/brainstorm"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/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 | $0.00087 | $0.07022 |
| Opus 5 | $0.00044 | $0.03511 |
| Sonnet 5 | $0.00017 | $0.01404 |
| Haiku 4.5 | $0.00009 | $0.00702 |
Grade A, and why
brainstorm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorming Ideas Into Designs
Transform rough ideas into fully-formed designs through intelligent agent selection and structured exploration.
Core principle: Analyze the topic, select relevant agents dynamically, explore alternatives in parallel, present design incrementally.
Argument Resolution
TOPIC = "$ARGUMENTS" # Full argument string, e.g., "API design for payments"
# $ARGUMENTS[0] is the first token (CC 2.1.59 indexed access)
STEP -1: MCP Probe + Resume Check
Probe MCP servers once at skill start, store capabilities, and resume from any prior crashed session. Each phase emits a JSON handoff file consumed by the next.
Full procedure + handoff-file table: Read("${CLAUDE_PLUGIN_ROOT}/skills/brainstorm/references/mcp-probe-resume.md")
STEP 0: Project Context Discovery
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")
Tier Classification
| Signal | Tier |
|---|---|
| README says "take-home", "assignment", time limit | 1. Interview |
| < 10 files, no CI, no Docker | 2. Hackathon |
.github/workflows/, 10-25 deps |
3. MVP |
| Module boundaries, Redis, background jobs | 4. Growth |
| K8s/Terraform, DDD structure, monorepo | 5. Enterprise |
| CONTRIBUTING.md, LICENSE, minimal deps | 6. Open Source |
If confidence is low, ask the user:
AskUserQuestion(questions=[{
"question": "What kind of project is this?",
"header": "Project tier",
"options": [
{"label": "Interview / take-home", "description": "8-15 files, 200-600 LOC, simple architecture"},
{"label": "Startup / MVP", "description": "MVC monolith, managed services, ship fast"},
{"label": "Growth / enterprise", "description": "Modular monolith or DDD, full observability"},
{"label": "Open source library", "description": "Minimal API surface, exhaustive tests"}
],
"multiSelect": false
}])
What ships with it
25 files 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.
- assets/idea-evaluation-template.md 741 B
- checklists/brainstorm-completion.md 1013 B
- checklists/brainstorm-session-checklist.md 8.9 KB
- examples/orchestkit-feature-brainstorm.md 9.2 KB
- references/common-pitfalls.md 2.5 KB
- references/devils-advocate-prompts.md 2.1 KB
- references/divergent-techniques.md 1.5 KB
- references/effort-scaling.md 1.5 KB
- references/evaluation-rubric.md 3.0 KB
- references/example-session-auth.md 5.7 KB
- references/example-session-dashboard.md 6.7 KB
- references/iterative-optimization-mode.md 2.3 KB
- references/mcp-probe-resume.md 1.7 KB
- references/phase-workflow.md 9.2 KB
- references/socratic-questions.md 1.8 KB
- rules/_sections.md 1.1 KB
- rules/agent-count-limit.md 3.9 KB
- rules/complexity-ceiling.md 3.6 KB
- rules/convergence-requirement.md 3.8 KB
- rules/feasibility-filter.md 3.2 KB
- scripts/create-design-doc.md 4.1 KB
- scripts/decision-matrix-template.md 3.7 KB
- scripts/design-doc-template.md 3.6 KB
- scripts/post_synth_podcast.py 9.7 KB runs code
- test-cases.json 1.8 KB
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.
- today First seen · 507 lines · 87 tokens per session scan A 5b2bffe2ccad
brainstorm is a skill published in the GitHub repository yonatangross/orchestkit (225 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 7,022 once invoked, about $0.0004 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 2026-09-03.
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