BD link-resolver-engine
当用户想要**下载抖音视频**、**下载B站视频**、**解析无水印直链**、**提取最高画质视频**、**把视频下下来**、**保存抖音/B站视频**时自动触发。 专门处理哔哩哔哩（Bilibili/B站）和抖音（Douyin）的任意视频链接（包括短链 b23.tv、douyin.com、bilibili.com 等）。 自动识别平台，优先使用 yt-dlp 获取最高画质，失败时自动切换备用方案，最后本地下载并用 ffmpeg 合并音视频，保存到 downloads 文件夹。 【重要约束】仅支持 B站 和 抖音 链接，其他任何平台的链接一律不处理。 常见触发口语（越多越好）： - “帮我下载这个抖音视频” - “帮我下载这个抖音视频：[链接]” - “解析这个B站链接” - “解析这个B站链接的无水印最高画质：[链接]” - “Bilibili视频无水印下载” - “抖音最高画质直链” - “把这个视频下下来” - “把这个视频下下来：[链接]” - “下载Douyin/B站视频” - “提取视频直链” - “视频下载器” - “帮我保存这个抖音/B站视频” - “给我这个视频的无水印版本” - “帮我处理这个视频链接”
As a process D 46/100 · 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: 10. 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 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 (bash, python) that frontmatter does not declare
- 100Steps. 21 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 343 tokens
- 100Running it twice. No mutating operations
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)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -36 of 7 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 13 example trigger phrases
- +3Description length 521: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 21 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.