AF slide-generation
Generate Marp teaching slides from source content for teachers. Use when: (1) Generating Marp-compatible markdown slides from a .md file or folder for teaching/presentations, (2) Creating course slides with specific themes (am_blue_course), headers (logo), footers (敬业乐群), and presenter info, (3) Converting educational content (chapters, notes, multiple sources) into slide format, (4) Synthesizing multiple sources into a unified slide deck. NOT for: general document editing, non-Marp presentations.
As a process F 58/100 · Will not run — References files that are not bundled: images/logo.png, path, image.png
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: images/logo.png - warning
missing-refreference to a missing file: path - warning
missing-refreference to a missing file: image.png - warning
missing-refreference to a missing file: images/filename.png - warning
missing-refreference to a missing file: assets/images/logo.png
Process rating: all ten parameters 58/100
- 0Tools and files. 5 referenced file(s) missing: images/logo.png, path, image.png
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 2 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 55Failures and branches. 1 branches
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 50 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1603 tokens
- low 11 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
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 502: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 50 items
- +3Output format is stated explicitly
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.