AD tms-takecar
腾讯出行服务叫车助手。处理“帮我叫车”“我下班了，帮我叫车”“我要从亚洲金融大厦去腾讯总部”这类请求。关键词："打车"、"叫车"、"去[地点]"、"回家"、"上班"、"下班"、"司机"、"订单"、"查询订单"。注意：即使用户未明确说"打车"，只要涉及从A地到B地、通勤、或交通方式选择，都应触发。不触发场景：开发打车应用、使用其他导航app、订外卖、查公交时刻表、股票/财报查询。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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: 15. 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 41/100
- 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 (tms-takecar) differs from the folder (tencen-ride-skill)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 20 steps
- 100Execution cost. Instruction body is 611 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -31 of 2 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 190: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 20 items
- +4Reference files are cited in the instructions (6 of 10)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.
External checks
ClawHub: suspicious
This ride-hailing skill is mostly coherent, but it can use a stored account token to book, cancel, and query real rides from broad everyday phrases, with sensitive location data persisted locally and weak confirmation boundaries in shortcut flows.
LLM: suspicious (high) · VirusTotal: · 29 May 2026