SKILLEMALL.ai

AC pandoc-convert

Convert documents between formats using Pandoc CLI (Markdown, DOCX, PDF, HTML, EPUB, PPTX, ODT, RTF, LaTeX, CSV/TSV, Jupyter, etc.). Use when: (1) converting file formats, (2) generating DOCX/PDF from Markdown, (3) creating slide decks (PPTX/Beamer/Reveal.js), (4) extracting text from DOCX/EPUB/ODT, (5) producing EPUBs, (6) any Pandoc conversion task.

ClawHub Agent Skills author: TriDefender v1.0.0 MIT-0 4 files · 1 script body ≈ 4 477 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Convert documents between formats using Pandoc CLI (Markdown, DOCX, PDF, HTML, EPUB, PPTX, ODT, RTF, LaTeX, CSV/TSV, Jupyter, etc.). Use when: (1) converting…

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

IntegrationWordPowerPointLaTeXResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 120, 122): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 62/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 70Execution cost. Instruction body is 4477 tokens
    • 85Steps. 46 steps, 3 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Progress reporting. Reports progress
    • low 15 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)
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 353: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 46 items
    • +3Output format is stated explicitly
    • +4Has examples (15 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This Pandoc conversion skill is mostly aligned with document conversion, but it includes unsafe advanced examples that can turn conversion into local command execution without adequate warnings or limits.
    LLM: suspicious (high) · VirusTotal: · 16 Sept 2026