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AC new-youth-skill

新青年人格塑造技能。基于陈独秀《敬告青年》六条标准， 为用户提供人格评估、决策指引、观点审视、日课践行、视角延展、行动落实。 触发场景： - "我是否无愧于这个时代？" - "面对选择，我该如何自处？" - "如何才能不负此生？" - "此言当真？此论有据否？" - "我想成为一个更有担当的人" 注意：执行确定性技术任务（写代码、查天气）时不触发本技能。

ClawHub Agent Skills author: Morois v0.0.1 MIT-0 26 files body ≈ 550 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

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

ProcedureInfrastructuretype 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
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
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

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
  • low Dangerous commands cmd-execpolicy-bypass package.json:9
    Runs PowerShell with execution policy bypassed (quoted — discussed, not commanded)
    "validate:win": "powershell -NoLogo -NoProfile -ExecutionPolicy Bypass -File tests/vali…ps1"
    quoted

Files scanned: 26. 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 "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. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 550 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
  • -45 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 180: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (1 code blocks)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This skill is not malware, but it needs review because it can automatically inject a worldview/persona into new sessions and its triggers are broad enough to affect ordinary conversations.
LLM: suspicious (high) · VirusTotal: · 29 May 2026