SKILLEMALL.ai

AB test-scope-routing

Route validation by changed boundaries and risk, choosing the smallest sufficient checks for code, docs, UI, data, auth, sync, build, security, and release work. Use when deciding test commands, reducing unnecessary full-suite runs, auditing test layering, or documenting what was and was not verified.

ClawHub Agent Skills author: Ward Lu v0.1.2 MIT-0 4 files body ≈ 1 396 tokens Open the sourceclawhub.ai analyzed 2 d ago

Route validation by changed boundaries and risk, choosing the smallest sufficient checks for code, docs, UI, data, auth, sync, build, security, and release…

As a process B 67/100 · Nearly there — weak spots: result and completion, when it triggers, failures and branches

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
B
67/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
20
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: 4. 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 67/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Result and completion. Does not say what the result is
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 32 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1396 tokens
    • 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
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 302: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 32 items
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This skill is a documentation-only testing guide that helps agents choose proportionate validation steps and does not add hidden execution, persistence, or data access behavior.
    LLM: benign (high) · VirusTotal: · 10 Sept 2026