SKILLEMALL.ai

BD seedance-product-360

为 Seedance 2.0(Higgsfield)生成产品360°转盘、多角度展示和产品揭示视频提示。在用户想要产品旋转视频、转盘展示、产品揭示、360度视图、多角度产品展示、产品美妆镜头、主产品视频或开箱揭示时使用。触发条件:产品360、转盘、产品旋转、多角度、产品揭示、产品展示、主镜头、美妆镜头、产品旋转、开箱,或任何请求从多个角度展示物理产品。即使是"从所有侧面显示我的产品"或"制作产品视频"。

beshuaxian/higgsfield-seedance2-jineng Agent Skills author: beshuaxian 1 file body ≈ 1 798 tokens Open the sourcegithub.com↗ analyzed 15 h ago

为 Seedance…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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.
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")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (seedance-product-360) differs from the folder (zh-CN)
  • 100Tools and files. No external tools needed
  • 100Steps. 100 steps
  • 100Execution cost. Instruction body is 1798 tokens
  • 100Running it twice. No mutating operations
  • low 14 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 203: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 100 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.