SKILLEMALL.ai

AC tencent-meeting-mcp

在用户提及腾讯会议、视频会议、线上会议相关内容与操作时使用此技能。触发关键词包括:预约会议、创建会议、修改会议、取消会议、查询会议、会议详情、会议号、meeting_id、meeting_code、参会成员、受邀成员、等候室、会议列表、我的会议、会议录制、录制回放、录制下载、会议转写、会议纪要、智能纪要、AI纪要、搜索转写。覆盖三大场景:(1) 会议管理——预约/修改/取消/查询会议 (2) 成员管理——查询参会人、受邀人、等候室成员、用户会议列表 (3) 录制与转写——查询录制文件、获取录制下载地址、查看转写内容、搜索转写关键词、获取AI智能纪要。不要在以下场景触发此技能:日程管理(非腾讯会议日程)、即时通讯/聊天、腾讯文档操作、企业微信审批流程、电话/PSTN拨号、视频剪辑或视频编辑。

ClawHub Agent Skills author: chris8265-cl v1.0.0 MIT-0 4 files · 1 script body ≈ 2 261 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 4. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 77 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2261 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 349: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 77 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a coherent Tencent Meeting integration, but it can access sensitive meeting content and should be used with care.
LLM: benign (medium) · VirusTotal: · 29 May 2026