CD seedance-social-hook
使用 Seedance 2.0（Higgsfield）为 TikTok、Instagram Reels 和 YouTube Shorts 生成病毒式社交媒体钩子视频提示。在用户想要创建令人停下滚动的钩子、病毒式短视频、引人注目的开场白、TikTok 内容、Reels 内容、Shorts 内容或任何社交媒体优化视频时使用。在以下情况下触发：社交媒体视频、TikTok、Instagram Reels、YouTube Shorts、病毒视频、钩子、滚动停止器、短视频、趋势、参与、浏览量或任何社交媒体视频内容请求。即使是"做一些能获得浏览量的东西"或"病毒式内容"也适用。
使用 Seedance 2.0（Higgsfield）为 TikTok、Instagram Reels 和 YouTube Shorts 生成病毒式社交媒体钩子视频提示。在用户想要创建令人停下滚动的钩子、病毒式短视频、引人注目的开场白、TikTok 内容、Reels 内容、Shorts…
As a process D 46/100 · Unfinished process — weak spots: inputs and preconditions, failures and branches, consistency
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 1. 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") - warning
body-longSKILL.md body ≈ 19674 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 46/100
- 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
- 10Execution cost. Instruction body is 19674 tokens: crowds the task out of the window
- 30Running it twice. 16 mutating operations with no state check
- 40Consistency. Frontmatter name (seedance-social-hook) differs from the folder (zh-CN)
- 50When it triggers. No condition that starts the skill
- 60Steps. 321 steps, 4 vague phrases
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- low 16 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
- +4Description does not say when NOT to use the skill (false activations)
- +1No license
- +2Single-language instructions
- +3Description length 285: enough signal without eating the budget
- +4Structure: 82 headings
- +3Step-by-step instructions: 321 items
- +3Output format is stated explicitly
- +4Has examples (46 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.