SKILLEMALL.ai
GitHub ↗ RU Sign in

AC pdf-toolkit

Run a local script to work with PDF files, DOCX documents, OCR, and text-to-speech. Use the read tool to load this SKILL.md, then exec the uv run command inside it. Do NOT use sessions_spawn. Triggers: read pdf, extract text from pdf, merge pdfs, split pdf, rotate pdf, ocr pdf, read docx, create docx, text to speech, convert to mp3, pdf info, pdf pages.

ClawHub Agent Skills author: youpele52 v0.0.3 16 files · 1 script body ≈ 2 133 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Run a local script to work with PDF files, DOCX documents, OCR, and text-to-speech.

As a process C 55/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

IntegrationWordPDFAI and agentsData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
55/100
Has gaps
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: 16. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 55/100

    • 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
    • 30Running it twice. 10 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 37 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2133 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 355: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 37 items
    • +3Output format is stated explicitly
    • +4Has examples (15 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This is a disclosed local document-processing toolkit with expected file writes and a clearly documented remote text-to-speech feature, though users should be careful with sensitive files and runtime dependency installation.
    LLM: benign (high) · VirusTotal: · 11 Sept 2026