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CD business-health-diagnostic

Diagnose SaaS business health across growth, retention, efficiency, and capital. Use when preparing a business review or prioritizing urgent fixes.

deanpeters/Product-Manager-Skills Claude Code author: deanpeters NOASSERTION 1 file body ≈ 5 488 tokens Open the sourcegithub.com↗ analyzed 4 d ago

Diagnose SaaS business health across growth, retention, efficiency, and capital.

As a process D 48/100 · Unfinished process — References files that are not bundled: ../workshop-facilitation/SKILL.md

AnalyzerData and analyticstype 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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
D
48/100
Unfinished process
References files that are not bundled: ../workshop-facilitation/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

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 · 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 body-long SKILL.md body ≈ 5488 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../workshop-facilitation/SKILL.md
  • note frontmatter-key unknown frontmatter key "intent"
  • note frontmatter-key unknown frontmatter key "type"
  • note frontmatter-key unknown frontmatter key "theme"
  • note frontmatter-key unknown frontmatter key "best_for"
  • note frontmatter-key unknown frontmatter key "scenarios"
  • note frontmatter-key unknown frontmatter key "estimated_time"

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: ../workshop-facilitation/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../workshop-facilitation/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5488 tokens
  • 100Steps. 301 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place

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
  • -247 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 147: enough signal without eating the budget
  • +4Structure: 51 headings
  • +3Step-by-step instructions: 301 items
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.