SKILLEMALL.ai

BD audio-upload-aioz-stream

|-。通过AIOZ Stream API快速上传音频文件,支持默认与自定义编码配置,返回HLS/DASH流媒体链接。。支持自动化配置和灵活的参数设置,适支持多种应用场景,提升生产力效果。。通过AIOZ。Use when 需要视频处理、音频编辑、媒体转换、配音生成时使用。不适用于版权受保护的媒体内容处理。

ClawHub Hermes author: 天轰穿 v1.0.0 MIT-0 2 files body ≈ 2 661 tokens Open the sourceclawhub.ai analyzed 2 d ago

|-。通过AIOZ Stream API快速上传音频文件,支持默认与自定义编码配置,返回HLS/DASH流媒体链接。。支持自动化配置和灵活的参数设置,适支持多种应用场景,提升生产力效果。。通过AIOZ。Use when 需要视频处理、音频编辑、媒体转换、配音生成时使用。不适用于版权受保护的媒体内容处理。

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

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
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

The same skill appears in 1 more place: ClawHub

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: |-。通过AIOZ at line 9, column 16: description: |-。通过AIOZ Stream API快速上传音频文件,支持默认与自定义编码配置,返回HLS/DASH流媒体链接。。支持自动化配置… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 152 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • 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 "tools"
  • note frontmatter-key unknown frontmatter key "pricing_tier"

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
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (audio-upload-aioz-stream) differs from the folder (audio-stream-upload-2)
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 56 steps
  • 100Execution cost. Instruction body is 2661 tokens
  • low 19 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 152: enough signal without eating the budget
  • +4Structure: 51 headings
  • +3Step-by-step instructions: 56 items
  • +4Has examples (8 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill is mainly an AIOZ audio uploader, but it asks for broad local and command access without tight limits around what files, credentials, and callback URLs may be used.
LLM: suspicious (medium) · VirusTotal: · 25 Aug 2026