SKILLEMALL.ai

CD seedance-real-estate

为 Seedance 2.0(Higgsfield)生成房地产、建筑和室内设计展示视频提示。在用户想要财产巡览、房地产清单、建筑展示、室内设计视频、家居登台内容、财产营销、虚拟巡览、施工揭示或任何房地产/建筑视频时使用。在以下情况下触发:房地产、财产、房屋、公寓、建筑、室内设计、房屋巡览、清单视频、财产营销、虚拟巡览、建筑、施工、翻新、家居登台或任何房地产/建筑视频请求。即使是"为我的清单制作视频"或"展示这一财产"也适用。

beshuaxian/higgsfield-seedance2-jineng Agent Skills author: beshuaxian 1 file body ≈ 23 548 tokens Open the sourcegithub.com↗ analyzed 15 h ago

为 Seedance…

As a process D 43/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
98
Quality 40%
70
Run on models
none yet
Process rating
D
43/100
Unfinished process
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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.
  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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Risky intent intent-offensive-security SKILL.md:867
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    **Use**: Lateral movement; moving along facades, between rooms, across outdoor spaces.
  • low Risky intent intent-offensive-security SKILL.md:965
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    **Use**: Combining height change with lateral movement; creating elegant, complex motion.

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 ≈ 23548 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 43/100

  • 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 23548 tokens: crowds the task out of the window
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 18 mutating operations with no state check
  • 40Consistency. Frontmatter name (seedance-real-estate) differs from the folder (zh-CN)
  • 60Steps. 802 steps, 16 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 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 214: enough signal without eating the budget
  • +4Structure: 109 headings
  • +3Step-by-step instructions: 802 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)

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