BF bilibili-search-download
B站搜索批量下载工具。输入关键词即可搜索B站全站视频,支持按播放量/点赞/时间排序,搜索后自动批量获取全部高清下载链接。当用户需要查找B站视频、搜索B站内容、下载B站视频、采集B站素材时使用。触发词:B站搜索、bilibili搜索、B站下载、B站视频下载、b站搜视频、B站找素材、下载B站、bilibili下载。
B站搜索批量下载工具。输入关键词即可搜索B站全站视频,支持按播放量/点赞/时间排序,搜索后自动批量获取全部高清下载链接。当用户需要查找B站视频、搜索B站内容、下载B站视频、采集B站素材时使用。触发词:B站搜索、bilibili搜索、B站下载、B站视频下载、b站搜视频、B站找素材、下载B站、bilibili下载。
As a process F 35/100 · Will not run — References files that are not bundled: cover_url, download_url, {cover_url}
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 7. 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") - warning
missing-refreference to a missing file: cover_url - warning
missing-refreference to a missing file: download_url - warning
missing-refreference to a missing file: {cover_url} - warning
missing-refreference to a missing file: {download_url}
Process rating: all ten parameters 35/100
- 0Tools and files. 4 referenced file(s) missing: cover_url, download_url, {cover_url}
- 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
- 100Steps. 60 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1510 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
- +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 156: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 60 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.