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CC brainstorm

TRIGGER when: asked to brainstorm, think through, explore, or pressure-test a technical idea or decision through conversation. Interviews adaptively, asks one question at a time, and closes with a chat recap. For technical products, architecture, infrastructure, tools, operations, and engineering workflows. Written design/specification and task-list requests belong to /kk:design; durable domain glossary/reference kits to /kk:model; implementation and fixes to /kk:implement. Not for nontechnical brainstorming.

serpro69/claude-toolbox Agent Skills author: serpro69 NOASSERTION 32 files body ≈ 1 102 tokens Open the sourcegithub.com↗ analyzed 2 h ago

TRIGGER when: asked to brainstorm, think through, explore, or pressure-test a technical idea or decision through conversation.

As a process C 53/100 · Has gaps — References files that are not bundled: shared-ideation-frameworks.md, shared-idea-refinement-criteria.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
75
Run on models
none yet
Process rating
C
53/100
Has gaps
References files that are not bundled: shared-ideation-frameworks.md, shared-idea-refinement-criteria.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Obfuscation obf-base64-blob SKILL.md:33
    Long base64-looking blob (quoted — discussed, not commanded)
    The prerequisite-aware interview and separation of researched facts from user decisions draw on [Matt Pocock's grilling skill, pinned at `85f83d3`](https://github.com/mattpocock/skills/blob/85f83d3fde
    quoted

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: shared-ideation-frameworks.md
  • warning missing-ref reference to a missing file: shared-idea-refinement-criteria.md

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: shared-ideation-frameworks.md, shared-idea-refinement-criteria.md
  • 0Tools and files. 2 referenced file(s) missing: shared-ideation-frameworks.md, shared-idea-refinement-criteria.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 7 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1102 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 514: enough signal without eating the budget
  • +4Structure: 3 headings
  • +3Step-by-step instructions: 7 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.