SKILLEMALL.ai

AC judgment-loop

Turn consequential choices, uncertain claims, recurring failures, serious learning, and evidence-bearing reviews into provisional judgments, discriminating tests, and user-owned action. Use explicitly or when meaningful consequence and unresolved uncertainty coexist. Do not use for simple facts, well-specified execution, low-cost reversible choices, freeform creation, or emotional support alone.

ClawHub Agent Skills author: sirsws v1.1.2 MIT-0 20 files body ≈ 786 tokens Open the sourceclawhub.ai analyzed 2 d ago

Turn consequential choices, uncertain claims, recurring failures, serious learning, and evidence-bearing reviews into provisional judgments, discriminating…

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 12. 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 63/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 14 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 786 tokens
    • medium 20 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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
    • +4No input/output examples
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 398: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 14 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (4 of 4)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill is a disclosed decision-support prompt that helps structure uncertain choices and does not request unusual access or hidden authority.
    LLM: benign (high) · VirusTotal: · 2 Sept 2026