BD libtv-skill-pro
通过 LibTV (liblib.tv) AI 视频平台生成和编辑图片/视频的完整工具集。覆盖文生图/视频、图生图/视频、视频续写、风格迁移、局部编辑（把纸船换成爱心）、短剧/MV/TVC 制作、角色三视图、分镜设计、首尾帧视频、音频生视频。支持 Seedance 2.0 / Kling 3.0/O3 / Wan 2.6 / Nano Banana / Midjourney / Seedream 5.0 / Lib Nano Pro / GVLM 3.1 等模型，可显式指定模型+参数（比例/分辨率/时长）。Pro 版扩展批量并发、轮询监控、工作流模板、结果导出、会话历史、项目管理、统一入口、dry-run 预览、结构化错误。触发词：画一个/生成/做一个/帮我做、liblib/libtv/aigc、视频/图片/MV/TVC/短剧/分镜/动漫/海报、AI 视频/图片生成、画/生成一张/一段。
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 0
✓ No critical or high findings
Files scanned: 28. 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 43/100
- 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. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2189 tokens
- low The response is described with custom markup (6 tags): a typed call is more reliable
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
- -317 of 18 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 399: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (20 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.