SKILLEMALL.ai

AF product-share-trigger-reviewer

Strictly review any new skill, browser extension, app, community, course, template, or micro-product before building or launching it. Use when the user wants a traffic-source, trust, shareability, free-MVP, go/no-go, or ecosystem-fit review of a product idea or shipped draft.

ClawHub Agent Skills author: Zakhar Pashkin v1.0.0 MIT-0 3 files body ≈ 1 483 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 64/100 · Will not run — References files that are not bundled: scripts/check_product_share_gate.py

AnalyzerInfrastructureLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
F
64/100
Will not run
References files that are not bundled: scripts/check_product_share_gate.py
Tools and files w 18
0
Progress reporting w 2
0
Result and completion w 14
60
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/check_product_share_gate.py

Process rating: all ten parameters 64/100

Will not run. References files that are not bundled: scripts/check_product_share_gate.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/check_product_share_gate.py
  • 0Progress reporting. Says nothing while it works
  • 60Result and completion. Output format stated, no completion criterion
  • 65Failures and branches. 3 branches
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 83 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1483 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 276: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 83 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a coherent instruction-only product review skill, with disclosed repo-check and repo-edit guidance that users should review before allowing.
LLM: benign (high) · VirusTotal: · 29 May 2026