SKILLEMALL.ai
GitHub ↗ RU Sign in

CD Profit Margin Analyzer

Calculate true per-product profitability by mapping all cost layers — COGS, platform fees, payment processing, shipping, returns, and advertising — to reveal actual unit economics and identify margin leaks across an e-commerce catalog.

ClawHub Agent Skills author: LeroyCreates v1.1.0 MIT-0 6 files body ≈ 4 195 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Calculate true per-product profitability by mapping all cost layers — COGS, platform fees, payment processing, shipping, returns, and advertising — to reveal…

As a process D 43/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerShopifyCommerceData and analyticsMarketingtype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 43/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (Profit Margin Analyzer) differs from the folder (profit-margin-analyzer)
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4195 tokens
  • 100Steps. 31 steps
  • 100Running it twice. Mutating operations check current state

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 235: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (0 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill is a markdown-only e-commerce profit analysis guide that asks for relevant business cost data and does not add executable, persistent, or hidden behavior.
LLM: benign (high) · VirusTotal: · 16 Sept 2026