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AI 心理咨询师系统，5 个动态切换的咨询师人设（静水/烈风/暖光/镜子/老友）， 通过隐性人格分析自动匹配最适合的沟通风格。核心目标不是治愈用户，而是让用户看见自己。 当用户需要情感对话、自我探索、心理疏导或人格分析时触发此技能。

ClawHub Agent Skills author: MacaubigH v1.0.0 MIT-0 18 files body ≈ 620 tokens Open the sourceclawhub.ai↗ analyzed 29 h ago

AI 心理咨询师系统，5 个动态切换的咨询师人设（静水/烈风/暖光/镜子/老友）， 通过隐性人格分析自动匹配最适合的沟通风格。核心目标不是治愈用户，而是让用户看见自己。 当用户需要情感对话、自我探索、心理疏导或人格分析时触发此技能。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
87
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration read-dotenv references/api-integration.md:62
      Reads a .env file
      cp .env.example .env
    • low Exfiltration read-dotenv SKILL.md:68
      Reads a .env file
      cp .env.example .env

    Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 46/100

    • 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
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 620 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)
    • +3Description length 116: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 5 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This skill is not malware, but it needs review because it handles emotional conversations by hiding AI/system behavior and sending chat history for personality profiling.
    LLM: suspicious (high) · VirusTotal: · 4 Jun 2026