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BC tam-sam-som-calculator

Calculate TAM, SAM, and SOM with explicit assumptions, methods, and caveats. Use when sizing a market for a product idea, business case, or executive review.

deanpeters/Product-Manager-Skills Claude Code author: deanpeters NOASSERTION 4 files · 1 script body ≈ 4 464 tokens Open the sourcegithub.com↗ analyzed 4 d ago

Calculate TAM, SAM, and SOM with explicit assumptions, methods, and caveats.

As a process C 51/100 · Has gaps — References files that are not bundled: ../workshop-facilitation/SKILL.md, ../autonomous-investigation/SKILL.md, ../intelligence-collection-disciplines/SKILL.md

AnalyzerResearchtype 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
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
51/100
Has gaps
References files that are not bundled: ../workshop-facilitation/SKILL.md, ../autonomous-investigation/SKILL.md, ../intelligence-collection-disciplines/SKILL.md
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../workshop-facilitation/SKILL.md
  • warning missing-ref reference to a missing file: ../autonomous-investigation/SKILL.md
  • warning missing-ref reference to a missing file: ../intelligence-collection-disciplines/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 51/100

Will not run. References files that are not bundled: ../workshop-facilitation/SKILL.md, ../autonomous-investigation/SKILL.md, ../intelligence-collection-disciplines/SKILL.md
  • 0Tools and files. 3 referenced file(s) missing: ../workshop-facilitation/SKILL.md, ../autonomous-investigation/SKILL.md, ../intelligence-collection-disciplines/SKILL.md
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 60Failures and branches. 2 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4464 tokens
  • 85Steps. 79 steps, 2 vague phrases
  • 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 157: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 79 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented

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