SKILLEMALL.ai

BD join-meeting

|-。会议机器人,支持会议感知、系统状态管理、生命周期、语音状态与TTS事件处理。智能会议机器人,主动感知并参与在线会议. 支持会议感知、系统状态管理、生命周期管理(加入/离开)。Use when 需要项目管理、任务规划、进度跟踪、团队协作时使用。不适用于实际人员绩效评估。适用于独立开发者、企业团队和自动化工作流场景。 功能涵盖: join, meeting。

ClawHub Hermes author: 天轰穿 v1.0.1 MIT-0 2 files body ≈ 1 578 tokens Open the sourceclawhub.ai analyzed 2 d ago

|-。会议机器人,支持会议感知、系统状态管理、生命周期、语音状态与TTS事件处理。智能会议机器人,主动感知并参与在线会议.

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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
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

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: |-。会议机器人,支持会议感知、系统状态管理、生命周期、语音状态与TTS事件处理。智能会议机器人,主动感知并参与在线会议. at line 11, column 16: description: |-。会议机器人,支持会议感知、系统状态管理、生命周期、语音状态与TTS事件处理。智能会议机器人,主动感知并参与在线会议. 支持会议… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 181 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 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 (join-meeting) differs from the folder (meeting-join-2)
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 77 steps
  • 100Execution cost. Instruction body is 1578 tokens
  • 100Running it twice. No mutating operations
  • low 12 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 181: enough signal without eating the budget
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 77 items
  • +4Has examples (4 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
This meeting-bot skill describes joining, listening to, transcribing, and saving meetings, but it does not clearly define consent, retention, or limits on automatic participation.
LLM: suspicious (high) · 25 Aug 2026