SKILLEMALL.ai

AC office-to-markdown

Converts office automation documents — PDF, PPTX, DOCX, XLSX, CSV — into clean, readable Markdown. Use this skill when a user explicitly asks to convert, extract, or turn an uploaded document into Markdown (e.g. "convert this PDF to markdown", "extract the text from this Word doc", "turn this into markdown"). Do NOT trigger on a bare file upload alone — wait for a clear conversion request. Handles both text-based and image-based / scanned documents via Claude vision (requires user confirmation before sending images to the API).

ClawHub Agent Skills author: Naimal Salahuddin v1.0.1 MIT-0 7 files body ≈ 834 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorWordExcelPowerPointInfrastructureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
59/100
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

    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: 7. 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 59/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 4 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 834 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 533: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 4 items
    • +4Has examples (2 code blocks)
    • +3All 5 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This skill is a disclosed office-document-to-Markdown converter, with notable but expected risks from runtime package downloads and optional external OCR.
    LLM: benign (high) · VirusTotal: · 29 May 2026