SKILLEMALL.ai

BD libtv-skill

agent-im 会话技能 - 通过 liblib.tv 的 AI 能力生成和编辑图片/视频,兼容 Gemini 文生图、Sora/Veo/Grok/豆包/Vidu 视频直连。 覆盖:文生图、文生视频、图生视频、视频编辑、风格迁移、视频续写、MV生成、短剧生成、分镜设计。 触发词:画、生成、做动画、改镜头、换风格、转绘、复刻、liblib、libtv、上传参考图。 当用户明确指定 Gemini 时走文生图兼容路径;指定 Sora/Veo/Grok/豆包/Vidu 时走视频直连路径。

ClawHub Agent Skills author: guanjin hu v1.0.4 MIT-0 31 files body ≈ 1 968 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
84
Quality 40%
74
Run on models
none yet
Process rating
D
39/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration net-redirectable-api-key scripts/gemini_generate_image.py:225
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key scripts/sora_generate_video.py:333
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key scripts/sora_query_video.py:219
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • low Exfiltration read-dotenv README.md:19
    Reads a .env file
    cp .env.example .env

Files scanned: 31. 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 39/100

  • 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
  • 30Running it twice. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (libtv-skill) differs from the folder (huguanjin-libtv-skill)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 51 steps
  • 100Execution cost. Instruction body is 1968 tokens

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
  • -34 of 20 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 243: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 51 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This skill is a coherent AI image/video generation integration, but users should understand it sends prompts and selected media to external services and may save generated files locally.
LLM: benign (high) · VirusTotal: · 29 May 2026