SKILLEMALL.ai

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.

ClawHub Agent Skills author: Parker v0.0.10 MIT-0 5 files body ≈ 2 639 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
98
Quality 40%
81
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Obfuscation obf-base64-blob SKILL.md:67
      Long 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-blob SKILL.zh-CN.md:67
      Long 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-key unknown 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.

    External checks

    ClawHub: suspicious
    This skill is for AI music-video generation, but its default workflow can automatically spend from the user's Giggle account without a separate confirmation step.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026