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BB gumroad-analytics

Pull daily Gumroad product/sales analytics safely (no raw PII persistence by default).

ClawHub Agent Skills author: Vlad Rimsha v1.0.1 3 files · 1 script body ≈ 270 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 65/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, running it twice

ReferenceData and analyticsInfrastructuretype 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
B
89/100
safety, quality, tests
Safety 60%
98
Quality 40%
75
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration net-credential-use scripts/fetch_metrics.sh:34
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    SALES_JSON="$(curl -sS --get "$API/sales" --data-urlencode "access_token=$TOKEN")"
    quoted
  • low Exfiltration net-credential-use scripts/fetch_metrics.sh:35
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    PRODUCTS_JSON="$(curl -sS --get "$API/products" --data-urlencode "access_token=$TOKEN")"
    quoted

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 65/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 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
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 270 tokens

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 86: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 8 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This skill does what it says: it fetches Gumroad analytics, saves local summaries, and only stores raw API data when the user explicitly asks for it.
LLM: benign (high) · VirusTotal: benign · 28 May 2026