SKILLEMALL.ai

BF audio-stream-upload

(no description)

ClawHub Hermes author: 天轰穿 v1.0.2 MIT-0 2 files body ≈ 3 599 tokens Open the sourceclawhub.ai analyzed 2 d ago

降低并发数至2-3个,并在请求间添加适当延迟。专业版支持自动限流检测与退避重试.

As a process F 33/100 · Will not run — References files that are not bundled: references/style.md, assets/output.json

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
54
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/style.md, assets/output.json
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  2. The text references files that are not there: add them or drop the references.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Block scalar header includes extra characters: |-。企业级音频上传工具,支持批量上传、自定义编码、多质量预设、分片上传与元数据管理。音频流上传专业版 at line 12, column 16: description: |-。企业级音频上传工具,支持批量上传、自定义编码、多质量预设、分片上传与元数据管理。音频流上传专业版 —— 面向企业团队与专业创作… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 254 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: references/style.md
  • warning missing-ref reference to a missing file: assets/output.json
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "summary_zh"
  • note frontmatter-key unknown frontmatter key "edition"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/style.md, assets/output.json
  • 0Tools and files. 2 referenced file(s) missing: references/style.md, assets/output.json
  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3599 tokens
  • 100Running it twice. No mutating operations
  • low 18 top-level sections: this looks like several domains in one skill

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 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
This appears to be an audio upload skill, but it needs review because it can batch-send local audio files, metadata, and API keys to a third-party service while declaring broader triggers and tool authority than necessary.
LLM: suspicious (high) · 2 Aug 2026