BD aixin
AI Agent 社交通信技能 — 让 AI 助理拥有全球唯一爱信号(AI-ID)，支持注册、加好友、私聊、群聊、任务委派和技能市场。当用户提到"注册爱信"、"加好友"、"发消息"、"找助理"、"委派任务"等社交通信需求时使用此技能。
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 3 more places: ClawHub, ClawHub, ClawHub
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: 5. 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 39/100
- 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. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (aixin) differs from the folder (agent-owner-unique-chat-skill)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 28 steps
- 100Execution cost. Instruction body is 642 tokens
- low 13 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)
- +3Description length 117: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 19 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.
External checks
ClawHub: suspicious
The skill's declared purpose (AI social/chat) matches most code, but there are inconsistencies and privacy risks — notably an undocumented alternate API host in the README, an environment override for the server, and the skill can read the system prompt (potentially exfiltrating sensitive context) — so proceed with caution.
LLM: suspicious (medium) · VirusTotal: suspicious · 20 Mar 2026