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BC ai-life-coach

AI 人生教练：用对话陪你把当下活明白。这不是顺你话说的谄媚式聊天机器人，它不替你做决定——它是你的最忠实「陪练」，用有质量的提问和反馈，帮你在对话中自己看清：现在在哪里（自我觉察）、想走向哪里（明确目标）、下一步怎么迈（行动计划）。基于斯坦福《人生设计课》、积极心理学与心流理论，融合焦点解决提问（SFBT）、叙事外化、奥德赛计划等教练方法。适用场景：迷茫 ·心里堵 ·提不起劲 ·工作没动力 ·不知道自己想要什么 ·想找人聊聊 ·自我觉察 ·明确目标 ·制定行动计划。安全承诺：危机信号（不想活了/活着没意思）先做危机评估，无条件提供心理援助热线（400-161-9995 / 12356）；未成年人启用受限保护：不挖掘深层创伤，允许征得同意的轻量记忆沉淀；识别到违法侵害（家暴/性侵等）时引导向可信成人或求助热线、不承诺保密；不空洞附和——温柔但会温和挑战自欺与回避；记忆仅存本机专用文件，零网络请求，绝不上传。说「我想做一次人生教练对话」或输入 /ai-life-coach 即可开始。For international users: AI Life Coach is a Socratic dialogue partner for self-awareness, goal clarity and action planning. Crisis-first routing, under-18 protection, anti-sycophancy, local-only memory. See README.md for full English description.

ClawHub Agent Skills author: luhayden-blip v2.5.2 MIT-0 11 files body ≈ 3 075 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

AI…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWriting and documentsCustomer supporttype 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
B
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
74
Run on models
none yet
Process rating
C
53/100
Has gaps
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-agent-memory-dump references/memory.md
    Agent memory / workspace files bundled with the skill (1) — likely a workspace dump with personal data or tokens
    references/memory.md

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "triggers"

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. Tools declared in frontmatter
  • 100Steps. 92 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3075 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
  • +2Single-language instructions
  • +3Description length 693: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 92 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 7)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This prompt-only life-coaching skill is not malware, but it needs Review because it can activate on broad distress phrases and persist sensitive mental-health notes locally with weak controls.
LLM: suspicious (high) · 1 Sept 2026