SKILLEMALL.ai

AD pdfly-cli

A pure-python CLI application for manipulating PDF files. Use when needing to compress, merge, split, rotate, sign, extract images/text, or convert files to/from PDF. Commands: 2-up, booklet, cat, check-sign, compress, extract-annotated-pages, extract-images, extract-text, meta, pagemeta, rm, rotate, sign, uncompress, update-offsets, x2pdf. Trigger phrases: "compress PDF", "merge PDFs", "split PDF", "rotate pages", "extract images from PDF", "sign PDF", "PDF metadata", "convert to PDF".

ClawHub Agent Skills author: Zexun Lin v1.0.0 MIT-0 6 files body ≈ 559 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 44/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationPDFInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
D
44/100
Unfinished process
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
    • 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: 6. 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 44/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 50Steps. 2 steps
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 559 tokens

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3No numbered steps or checklist
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +3Description length 491: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: suspicious
    The skill is a coherent PDF tool reference, but its signing instructions include risky handling of certificate passwords and private keys.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026