BC vibe-card
Agent 原生社交名片生成、管理和分享，以及智能花名册（通讯录管理器）。当用户提到名片、花名册、通讯录、联系人、Vibe Card、vibe-card 时使用。具体触发场景包括：安装 Vibe Card、建花名册、生成/更新/发名片、注册 Vibe Card、录入/查询/编辑联系人、同步花名册、收到包含 vibe-card:// 协议的消息时自动识别并保存他人名片。定期检查花名册中联系人的名片是否有更新，有变化时拉取最新信息到本地。
As a process C 53/100 · Has gaps — 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: 14. 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 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. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 966 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 219: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 26 items
- +4Reference files are cited in the instructions (1 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: suspicious
This is a coherent business-card and contact-book skill, but it needs review because it can publish personal data, auto-save received cards, store a service key, and set up recurring sync with limited consent controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026