AF video-add-content-cards
Use when an understood video project needs selective transcript-timed titles, lower-thirds, statistics, metric spotlights, comparisons, lists, quotes, chapter cards, or calls to action authored as HyperFrames HTML graphics.
Use when an understood video project needs selective transcript-timed titles, lower-thirds, statistics, metric spotlights, comparisons, lists, quotes, chapter…
As a process F 49/100 · Will not run — References files that are not bundled: assets/fonts/Lexend-VariableFont_wght.ttf
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 18. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5123 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: assets/fonts/Lexend-VariableFont_wght.ttf
Process rating: all ten parameters 49/100
- 0Tools and files. 1 referenced file(s) missing: assets/fonts/Lexend-VariableFont_wght.ttf
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5123 tokens
- 100Steps. 23 steps
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 223: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (12 code blocks)
- +4Reference files are cited in the instructions (1 of 3)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.