AD sbti
SBTI 人格测试 — 一个充满对话感和角色扮演的人格测试体验。 以一个有点神经质、很会整活的测试管理员身份，引导用户完成30道题， 然后用曼哈顿距离匹配算法揭晓用户的 SBTI 人格（共27种）。 当用户说"做个测试"、"测测我的人格"、"SBTI"、"人格测试"、"玩个测试"、 "我是谁"、"测人格"、"测一测"、"无聊了想玩点啥" 时触发此 skill。 即使用户只是表达好奇、无聊、想聊天，也可以主动提议做测试。
As a process D 49/100 · 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: 7. 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 49/100
- 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 (sbti) differs from the folder (anti-mbti-sbti)
- 100Tools and files. No external tools needed
- 100Steps. 68 steps
- 100Execution cost. Instruction body is 815 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
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 211: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 68 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: clean
This is an offline Chinese entertainment personality quiz; its broad triggers and edgy tone may surprise users, but it shows no code execution, network use, credential access, or persistence.
LLM: benign (high) · VirusTotal: · 29 May 2026