SKILLEMALL.ai

AB pptx-extract

Extract a PowerPoint deck into full-data, page-delimited Markdown — every text run, table, speaker note, and image — with unextractable data (vector metafiles, charts, OLE embeds) skipped but visibly noted on its slide, then prove losslessness with a 5-point machine audit. Use when the user asks to extract/convert a PPTX to Markdown, add a new deck to an extraction project, or regenerate a stale extraction. Related terms: PPT, PowerPoint, PPTX, slide extraction, 提取.

ClawHub Agent Skills author: Jeff Yang v1.0.0 MIT-0 4 files · 2 scripts body ≈ 1 402 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Extract a PowerPoint deck into full-data, page-delimited Markdown — every text run, table, speaker note, and image — with unextractable data (vector…

As a process B 79/100 · Nearly there — no weak spots found

ProcedurePowerPointSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
B
79/100
Nearly there
Failures and branches w 10
50
Tools and files w 18
60
Result and completion w 14
60
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    • note edit-residue the text marks something as outdated (lines 82): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 79/100

    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 27 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1402 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low The response is described with custom markup (7 tags): a typed call is more reliable

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 470: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 27 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +3All 2 scripts are documented

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

    External checks

    ClawHub: clean
    This skill transparently extracts user-selected PowerPoint files into Markdown and assets, with disclosed handling of notes and unsupported content.
    LLM: benign (high) · VirusTotal: · 20 Sept 2026