AC pptx-analysis
Analyze the structure and content of PowerPoint (.pptx) presentations using MinerU. Returns structured Markdown with slide content, headings, and layout preserved. Features: structural analysis of PPTX files. Quick analysis (flash-extract) without token. Full analysis with token for detailed inspection. Identifies slide structure, text blocks, and content hierarchy. Use when you need to: analyze a PowerPoint presentation, understand slide structure, inspect .pptx content and layout, get an overview of a presentation. Use when asked: 'how do I analyze this PowerPoint', 'what is inside this pptx', 'I want to understand these slides', 'can my agent analyze PowerPoint files', 'break down this presentation for me'. Built on MinerU by OpenDataLab (Shanghai AI Lab), an open-source document intelligence engine. Ideal for content reviewers, presentation auditors, and automated quality checks on slide decks.
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 51/100
- 0Result and completion. Does not say what the result is
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 8 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 399 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 911: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 6 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.