SKILLEMALL.ai

BC pdf_simple_tool

PDF splitting and PDF-to-Word conversion tools implemented in Node.js.

ClawHub Agent Skills author: daguniang v1.2.0 MIT-0 5 files body ≈ 534 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ReferenceWordInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
96
Quality 40%
60
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token node/package-lock.json:28
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…ZPC+taih…dxR/LKBa…Qnt+ViGvEIQ==",
    quoted
  • low Secrets in code secret-high-entropy-token node/package-lock.json:166
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…xMw+krrP…KXu/WeTg…U0v+UCEw…FvQ==",
    quoted
  • low Secrets in code secret-high-entropy-token node/package-lock.json:188
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…pjs+EVnW…hE7+ZyY8…tdA==",
    quoted
  • low Secrets in code secret-high-entropy-token node/package-lock.json:239
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…w6M+uprW…rLY/w==",
    quoted

Files scanned: 5. 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)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (pdf_simple_tool) differs from the folder (pdf-simple-tool)
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 60Failures and branches. 2 branches
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 24 steps
  • 100Execution cost. Instruction body is 534 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)
  • +3Description length 70: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill is a straightforward local PDF utility that reads user-selected PDFs and writes user-selected PDF or DOCX outputs, with only normal npm dependency and overwrite cautions.
LLM: benign (high) · VirusTotal: · 29 May 2026