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AD wenyan

通用古风语体引擎（不限于 OpenClaw，可接入 Claude/ChatGPT/Gemini/Dify/Ollama 等任何智能体）。 将 AI 回复转换为古中文风格，支持儒雅、武侠、三国、战国、史记、白话、诗经、禅意八种风格。 当用户说"用古风说话"、"切换文言"、"换个古代风格"、"用武侠语气"时触发。

ClawHub Agent Skills author: Pondsi v1.0.0 MIT-0 32 files body ≈ 711 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

通用古风语体引擎（不限于 OpenClaw，可接入 Claude/ChatGPT/Gemini/Dify/Ollama 等任何智能体）。 将 AI 回复转换为古中文风格，支持儒雅、武侠、三国、战国、史记、白话、诗经、禅意八种风格。 当用户说"用古风说话"、"切换文言"、"换个古代风格"、"用武侠语气"时触发。

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype 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%
100
Quality 40%
75
Run on models
none yet
Process rating
D
41/100
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

  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 · 0

✓ No critical or high findings

Files scanned: 24. 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 "requires"

Process rating: all ten parameters 41/100

  • 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 (wenyan) differs from the folder (wenyanskill)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 711 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 155: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (6 code blocks)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed classical-Chinese style mode with local validation scripts and low-impact persisted style settings.
LLM: benign (high) · VirusTotal: · 1 Sept 2026