SKILLEMALL.ai

BD lrc

专业LRC歌词创作工具,支持歌曲音频波形可视化、歌词时间轴精准打点、LRC导入/导出、播放实时高亮、毫秒级时间戳编辑、自动本地存储防止数据丢失。前端使用jQuery+WaveSurfer.js开发,后端Python Flask,默认端口698,界面紧凑高效。使用场景:(1) 为歌曲制作LRC歌词文件 (2) 编辑/校准已有LRC歌词时间轴 (3) 批量调整歌词时间点 (4) 可视化歌词同步制作

ClawHub Agent Skills author: 小潴 v1.1.0 MIT-0 6 files body ≈ 639 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (lrc) differs from the folder (xi-lrc-editor)
  • 100Tools and files. No external tools needed
  • 100Steps. 33 steps
  • 100Execution cost. Instruction body is 639 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
  • -2localhost URLs: will not work for another user
  • -219 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 198: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This appears to be a real LRC lyrics editor, but its local web server is exposed too broadly and allows unauthenticated upload and shutdown actions.
LLM: suspicious (high) · VirusTotal: · 29 May 2026