SKILLEMALL.ai

AB verification-criteria

Generate, audit, and trace verification criteria (VC) for functional system requirements. Three modes: VC Generation (5-element + SMARTR-OC + Source Depth), VC Quality Audit (8-point rubric + CK checklist), Coverage Audit (traceability matrix + orphan detection). ASPICE SYS.2 BP5, ISO/IEC 29148, VC-First. Use when: 生成VC, 验证标准, 审核VC, SMARTR-OC, 覆盖率, traceability, VC质量, VC评分, 需求验证, 测试标准, verification criteria, coverage audit.

ClawHub Agent Skills author: UnknowCao v0.1.0 MIT-0 22 files body ≈ 3 721 tokens Open the sourceclawhub.ai analyzed 2 d ago

Generate, audit, and trace verification criteria (VC) for functional system requirements.

As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers, progress reporting

AnalyzerExcelPersonal productivityResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
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: 22. 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 66/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 17 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3721 tokens
    • 100Running it twice. No mutating operations

    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
    • -290 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 427: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (14 of 14)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill is a coherent requirements-engineering helper that reads user-supplied requirement/VC files and writes derived review artifacts, with no evidence of hidden exfiltration or destructive behavior.
    LLM: benign (high) · VirusTotal: · 10 Aug 2026