SKILLEMALL.ai

BD tingwu-asr

使用阿里云通义听悟进行云端音频/视频转录。本技能应在用户需要云端语音转文字、长音频转录、本地 FunASR 不可用或需要更高精度时使用。不适用于无网络环境或需要完全离线的场景。

ClawHub Agent Skills author: xierluo v0.4.2 MIT-0 19 files · 1 script body ≈ 1 313 tokens Open the sourceclawhub.ai analyzed 2 d ago

使用阿里云通义听悟进行云端音频/视频转录。本技能应在用户需要云端语音转文字、长音频转录、本地 FunASR 不可用或需要更高精度时使用。不适用于无网络环境或需要完全离线的场景。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePlaywrightAI and agentsSoftware developmentMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
D
46/100
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: 19. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

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. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1313 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)
  • +3Description length 88: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • -32 of 10 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (12 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
This cloud transcription skill is mostly purpose-aligned, but it needs review because it stores broad Alibaba session cookies and plaintext login credentials locally and can fetch arbitrary URLs for upload to cloud transcription.
LLM: suspicious (high) · 9 Sept 2026