SKILLEMALL.ai

BD heyvideogen

Heygen HyperFrames + MiniMax Hailuo AI 视频自动化生产流水线。 用户说"做视频"、"生成视频"、"短视频制作"、"视频混剪"、"用 HyperFrames 做"时触发。 底层用 HyperFrames(HTML+GSAP) 做动画合成 + 渲染引擎,用 MiniMax Hailuo 生成 AI 视频片段, 用 FFmpeg 做最终混音混画,输出视频号/B站/抖音可发布的 MP4。 三种内容模式自动切换(Mode A 纯干货 / Mode B 剧情+科普 / Mode C 漫剧型)。 当用户已有 HyperFrames 项目需要生成 AI 片段,或需要比 Remotion 更简单的 HTML 工作流时也用此技能。

ClawHub Agent Skills author: DeviosLang v1.0.0 MIT-0 11 files body ≈ 2 520 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
46/100
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: 11. 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 46/100

  • 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
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2520 tokens
  • 100Running it twice. No mutating operations
  • 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)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 328: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (22 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This is a coherent video-generation skill, but its helper script can execute shell commands built from user or generated text, so it should be reviewed carefully before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026