AC tmeet-skill
腾讯会议 CLI（tmeet）：OAuth 授权登录/登出/状态查询、会议管理（创建/更新/取消/查询/受邀者）、录制管理（列表/下载地址/智能纪要/转写/录制权限申请）、会议报告（参会人/等候室）、通讯录（按用户名/手机号/邮箱搜索成员）、会中控制（呼叫成员入会/踢出会议成员）、问题排查（导出本地日志，反馈工具缺失/失败/能力不足等问题给平台）。当用户需要通过命令行操作腾讯会议，或 Agent 在使用过程中遇到工具缺失、调用失败、能力不足等情况想反馈给平台时使用本技能。
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- 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: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 51/100
- 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. 3 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 51 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2777 tokens
- 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
- +1No license
- +2Single-language instructions
- +3Description length 238: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 51 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
The skill is mostly coherent for managing Tencent Meetings, but it asks agents to auto-install a global CLI and includes sensitive authentication and log-upload flows that need careful review.
LLM: suspicious (medium) · VirusTotal: · 9 Jul 2026