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。
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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".
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
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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-keyscripts/gemini_generate_image.py:225Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
-
medium Exfiltration
net-redirectable-api-keyscripts/sora_generate_video.py:333Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
-
medium Exfiltration
net-redirectable-api-keyscripts/sora_query_video.py:219Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
-
low Exfiltration
read-dotenvREADME.md:19Reads a .env filecp .env.example .env
Files scanned: 31. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription 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.