SKILLEMALL.ai
GitHub ↗ RU Sign in

CD start-2-3

2.3 Product Strategy. Use when the student types /start-2-3.

carlvellotti/claude-code-pm-course Claude Code author: carlvellotti 5 files body ≈ 6 818 tokens Open the sourcegithub.com↗ analyzed 5 d ago

2.3 Product Strategy. Use when the student types /start-2-3.

As a process D 49/100 · Unfinished process — References files that are not bundled: frameworks/rumelt-strategy-kernel.md, h1-2026-ai-product-strategy.md, strategy-review-slides.pptx

AnalyzerPowerPointNotionAsanaAI and agentsMarketingLearningtype 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
79/100
safety, quality, tests
Safety 60%
94
Quality 40%
57
Run on models
none yet
Process rating
D
49/100
Unfinished process
References files that are not bundled: frameworks/rumelt-strategy-kernel.md, h1-2026-ai-product-strategy.md, strategy-review-slides.pptx
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Bash AskUserQuestion WebSearch WebFetch Skill
  • low Risky intent intent-offensive-security assets/methods/devils-advocate-strategy.md:5
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
    Devil's advocate is a **critical thinking technique** where you deliberately challenge your own strategy to find holes, weaknesses, and faulty assumptions. It's the strategic equivalent of "red team"
    quoted

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6818 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: frameworks/rumelt-strategy-kernel.md
  • warning missing-ref reference to a missing file: h1-2026-ai-product-strategy.md
  • warning missing-ref reference to a missing file: strategy-review-slides.pptx
  • warning missing-ref reference to a missing file: frameworks/swot-analysis.md
  • warning missing-ref reference to a missing file: frameworks/gibson-biddle-dhm.md

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: frameworks/rumelt-strategy-kernel.md, h1-2026-ai-product-strategy.md, strategy-review-slides.pptx
  • 0Tools and files. 5 referenced file(s) missing: frameworks/rumelt-strategy-kernel.md, h1-2026-ai-product-strategy.md, strategy-review-slides.pptx
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 70Execution cost. Instruction body is 6818 tokens
  • 85Steps. 172 steps, 2 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress

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)
  • +3Description length 60: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -230 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 172 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.