AC giggle-generation-aimv
Use when the user wants to create AI music videos (MV)—including generating music from text prompts or using custom lyrics. Triggers: generate MV, music video, make video for this song, lyrics video, create MV, AI music video, music+video, generate video from lyrics.
As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Obfuscation
obf-base64-blobSKILL.md:67Long base64-looking blob (security demo / example; quoted — discussed, not commanded)- **reference_image** or **reference_image_url**: Reference image—provide at least one (asset_id or download URL). Also supports base64 image, e.g. `"iVBO…ADU
demoquoted -
low Obfuscation
obf-base64-blobSKILL.zh-CN.md:67Long base64-looking blob (security demo / example; quoted — discussed, not commanded)- **reference_image** 或 **reference_image_url**:参考图——至少提供其一(asset_id 或下载 URL)。该字段也支持 base64 编码图片,例如 `"iVBO…ggg=="`
demoquoted
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "requires"
Process rating: all ten parameters 61/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 8 mutating operations with no state check
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 22 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2639 tokens
- 100Progress reporting. Reports progress
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
- -31 of 1 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 267: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (14 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.