agent-persona-analyzer
v1.0.1智能体人格分析 Skill。用于分析 Agent 的性别角色、性格类型、心理年龄、职业倾向和自我介绍。 触发场景： (1) 用户让 Agent 做自我介绍或介绍自己 (2) Agent 主动提及自身特征 (3) 用户要求进行人格测评、性格测试 (4) 用户询问 Agent 的性别、年龄、性格、擅长领域 (5) 用...
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by@tcdjl
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (agent persona analysis and self-introduction) align with the instructions: generate or load a persona and output a self-intro. There are no unrelated dependencies or credential requests.
Instruction Scope
The runtime instructions explicitly read from and write to a workspace file named agent-persona-name.json and then output a marriage-market–style self-introduction. File I/O is appropriate for persisting a persona, but it is a persistent write operation in the agent's workspace and will remain across sessions unless removed. The skill also mandates specific output styling (no headings, emoji, gender phrasing) which is prescriptive but consistent with the stated purpose.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk install surface. Nothing is downloaded or installed.
Credentials
No environment variables, credentials, or external config paths are requested. The only resource used is a workspace file specific to this skill, which is proportionate to the stated need to persist a generated persona.
Persistence & Privilege
The skill persists a JSON file in the workspace root to avoid regenerating the persona. This is reasonable for a persona-persistence feature but is a persistent write to disk; it does not request elevated privileges nor set always:true, and it does not modify other skills' configs.
Assessment
This skill is internally consistent: it only generates or reads a local file named agent-persona-name.json and outputs a persona-based self-introduction. Before installing, consider: 1) Are you comfortable the skill will create and keep a file named agent-persona-name.json in the agent workspace? If not, delete or inspect that file after use. 2) The persona is randomly generated (time-based) and not derived from user data; it may produce gendered or dating-style wording as configured. 3) There are no network calls or secret requests — if you later see the skill accessing external endpoints or asking for API keys, stop and re-evaluate. If you want greater assurance, request the author provide a short implementation or a signed manifest showing only local file operations.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.