BD 进击的知识库
微信好用知识库，打通 Agent，多平台视频链接一键下载归档。 微信/视频号/抖音/小红书/公众号的内容，丢过来自动识别、下载、上传腾讯文档，智能表格一键归档。 抖音下载同步提取视频描述（创作者文案/#标签），保存为 .caption.txt。 视频直传在线播放，文章自动转存。视频号用自研 sph-download，抖音/小红书用 yt-dlp，公众号用 web_fetch。 支持 mp4/pdf/pptx/docx/jpg/png/文章。你负责发现好内容，我负责秒速入库。 触发词：知识库、保存链接、存到知识库、帮我存这个、下载这个视频/文章、丢链接、进击的知识库
微信好用知识库，打通 Agent，多平台视频链接一键下载归档。 微信/视频号/抖音/小红书/公众号的内容，丢过来自动识别、下载、上传腾讯文档，智能表格一键归档。 抖音下载同步提取视频描述（创作者文案/标签），保存为 .caption.txt。 视频直传在线播放，文章自动转存。视频号用自研…
As a process D 39/100 · 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: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "token_budget" - note
frontmatter-keyunknown frontmatter key "owner_type"
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. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (进击的知识库) differs from the folder (knowledge-base)
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 9 steps
- 100Execution cost. Instruction body is 1337 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
- +1No license
- +2Single-language instructions
- +3Description length 285: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (12 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.