SKILLEMALL.ai

AB AutoDimensionReport

Process PDF, DOCX, XLSX from supply chain document packages — conversion, image extraction, OCR, dimension verification, and review report generation. Invoked when users mention part dimension inspection, dimension report review, supplier document review, seal/signature check, or image extraction.

ClawHub Agent Skills author: JieJingKe v1.0.0 MIT-0 11 files body ≈ 3 430 tokens Open the sourceclawhub.ai analyzed 2 d ago

Process PDF, DOCX, XLSX from supply chain document packages — conversion, image extraction, OCR, dimension verification, and review report generation.

As a process B 68/100 · Nearly there — weak spots: when it triggers, consistency, progress reporting

ProcedureWordExcelPDFData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
B
68/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Consistency w 8
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: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 68/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (AutoDimensionReport) differs from the folder (auto-dimension-report-skill-en)
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 132 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 3430 tokens
    • 100Running it twice. Mutating operations check current state
    • 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
    • +4Description does not say when NOT to use the skill (false activations)
    • -2localhost URLs: will not work for another user
    • -31 of 5 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 298: enough signal without eating the budget
    • +4Structure: 37 headings
    • +3Step-by-step instructions: 132 items
    • +3Output format is stated explicitly
    • +4Has examples (10 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: suspicious
    The skill has a coherent document-review purpose, but its OCR fallback can automatically run an unpinned OCR script discovered from broad local skill directories.
    LLM: suspicious (high) · VirusTotal: · 4 Jun 2026