SKILLEMALL.ai

AB aport-complete

Verify a completed task against your APort passport's deliverable contract before marking it done. Enforces acceptance criteria, summary requirements, test status, and reviewer checks deterministically. Use this before calling any task complete.

ClawHub Agent Skills author: Uchi Uchibeke v0.1.0 MIT-0 2 files body ≈ 1 598 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 76/100 · Nearly there — weak spots: result and completion, when it triggers, running it twice

AnalyzerInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
B
76/100
Nearly there
When it triggers w 12
20
Running it twice w 4
30
Result and completion w 14
40
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: 2. 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 76/100

    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 6 mutating operations with no state check
    • 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. 21 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1598 tokens
    • 100Progress reporting. Reports progress

    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
    • -5TODO / placeholder text left in the skill
    • +2Single-language instructions
    • +3Description length 245: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (5 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This is an instruction-only APort completion-check skill that openly sends task evidence to APort, with no hidden code, persistence, or destructive behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026