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CC seedance-brand-story

为 Seedance 2.0（Higgsfield）生成品牌叙事和叙述视频提示。在用户想要创建品牌故事视频、公司起源故事、使命视频、关于我们视频、品牌电影、企业叙事、创始人故事、品牌颂歌、公司文化视频或情感品牌内容时使用。在以下情况下触发：品牌故事、品牌视频、公司故事、起源故事、关于我们、使命视频、品牌电影、品牌颂歌、企业视频、公司文化、创始人故事、品牌叙事或任何品牌/公司叙事视频请求。即使是"讲述我们的公司故事"或"为我们的使命制作视频"也适用。

beshuaxian/higgsfield-seedance2-jineng Agent Skills author: beshuaxian 1 file body ≈ 13 451 tokens Open the sourcegithub.com↗ analyzed 15 h ago

为 Seedance…

As a process C 56/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

ProcedureMarketingtype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
C
56/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 13451 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 799): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 56/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 13 mutating operations with no state check
  • 40Consistency. Frontmatter name (seedance-brand-story) differs from the folder (zh-CN)
  • 40Execution cost. Instruction body is 13451 tokens: crowds the task out of the window
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 171 steps
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 18 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 226: enough signal without eating the budget
  • +4Structure: 93 headings
  • +3Step-by-step instructions: 171 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.