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AF brief

/cs:brief <topic> — Generate a one-page strategy brief from an office-hours intake. First step in the strategic sprint pipeline. Use when a strategic question needs to be framed before boardroom deliberation — e.g. locking options, assumptions, and success criteria for a pricing change or a market-entry decision.

alirezarezvani/claude-skills Agent Skills author: alirezarezvani MIT 1 file body ≈ 879 tokens Open the sourcegithub.com↗ analyzed 2 d ago

/cs:brief <topic> — Generate a one-page strategy brief from an office-hours intake.

As a process F 57/100 · Will not run — References files that are not bundled: ../../agents/cs-chief-of-staff.md, ../../../c-level-advisor/skills/context-engine/SKILL.md, ../../../c-level-advisor/skills/board-meeting/SKILL.md

ProcedureInfrastructureOperations and projectstype 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
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: ../../agents/cs-chief-of-staff.md, ../../../c-level-advisor/skills/context-engine/SKILL.md, ../../../c-level-advisor/skills/board-meeting/SKILL.md
Tools and files w 18
0
Failures and branches w 10
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 · 0

✓ No critical or high findings

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: ../../agents/cs-chief-of-staff.md
  • warning missing-ref reference to a missing file: ../../../c-level-advisor/skills/context-engine/SKILL.md
  • warning missing-ref reference to a missing file: ../../../c-level-advisor/skills/board-meeting/SKILL.md

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: ../../agents/cs-chief-of-staff.md, ../../../c-level-advisor/skills/context-engine/SKILL.md, ../../../c-level-advisor/skills/board-meeting/SKILL.md
  • 0Tools and files. 3 referenced file(s) missing: ../../agents/cs-chief-of-staff.md, ../../../c-level-advisor/skills/context-engine/SKILL.md, ../../../c-level-advisor/skills/board-meeting/SKILL.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 16 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 879 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 314: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 16 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

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