AD video-hook-generator
短视频爆款钩子生成器。输入视频主题或脚本，自动生成10种高点击率的开场钩子，涵盖"冲突型、数字型、悬念型、情绪型、揭秘型"等类型。当用户说"生成钩子"、"写视频开头"、"爆款标题"、"开头怎么写"、"生成吸引人的开头"时触发此技能。
短视频爆款钩子生成器。输入视频主题或脚本，自动生成10种高点击率的开场钩子，涵盖"冲突型、数字型、悬念型、情绪型、揭秘型"等类型。当用户说"生成钩子"、"写视频开头"、"爆款标题"、"开头怎么写"、"生成吸引人的开头"时触发此技能。
As a process D 42/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 42/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 75Steps. 3 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 374 tokens
- 100Running it twice. No mutating operations
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 116: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -213 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +4Structure: 11 headings
- +3Step-by-step instructions: 3 items
- +4Has examples (5 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.
External checks
ClawHub: clean
The reviewed evidence points to a low-impact writing skill with broad trigger wording but no signs of hidden access, persistence, or unsafe behavior.
LLM: benign (medium) · VirusTotal: · 7 Jul 2026