SKILLEMALL.ai

AC before-you-build

Use before building or changing a product, feature, SaaS, AI app, side project, or startup idea to run a short demand, distribution, and failure-pattern reality check. Not for ordinary coding tasks where the decision to build is already clear.

ClawHub Agent Skills author: bin1874 v0.1.1 MIT-0 20 files body ≈ 4 619 tokens Open the sourceclawhub.ai analyzed 11 h ago

Use before building or changing a product, feature, SaaS, AI app, side project, or startup idea to run a short demand, distribution, and failure-pattern…

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

    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: 20. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4619 tokens
    • 100Steps. 105 steps
    • 100Failures and branches. 10 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • low 14 top-level sections: this looks like several domains in one skill

    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
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 243: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 105 items
    • +4Has examples (10 code blocks)
    • +4Reference files are cited in the instructions (3 of 7)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This is a text-only product-risk review skill with disclosed, optional case lookup and no executable payload.
    LLM: benign (high) · VirusTotal: · 28 May 2026