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BF mengpo-memory

孟婆汤叙事引擎调用封装技能。当用户需要复用、生成、调用或扩展"孟婆汤"独白文案与分享卡片时使用。本技能只做调用封装，严禁修改叙事引擎源码与意境分支。

ClawHub Agent Skills author: Daniel Luo v1.0.1 MIT-0 2 files body ≈ 4 017 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

孟婆汤叙事引擎调用封装技能。当用户需要复用、生成、调用或扩展"孟婆汤"独白文案与分享卡片时使用。本技能只做调用封装，严禁修改叙事引擎源码与意境分支。

As a process F 29/100 · Will not run — References files that are not bundled: assets/sample-card.svg

ProcedureWriting and documentstype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
29/100
Will not run
References files that are not bundled: assets/sample-card.svg
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 2. 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")
  • warning missing-ref reference to a missing file: assets/sample-card.svg

Process rating: all ten parameters 29/100

Will not run. References files that are not bundled: assets/sample-card.svg
  • 0Tools and files. 1 referenced file(s) missing: assets/sample-card.svg
  • 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 (mengpo-memory) differs from the folder (wangqingshui)
  • 70Execution cost. Instruction body is 4017 tokens
  • 100Steps. 91 steps
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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 74: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 91 items
  • +4Has examples (8 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This skill is a documentation-style wrapper for a local narrative engine and does not show hidden data access, network transfer, or destructive behavior.
LLM: benign (high) · VirusTotal: · 21 Jul 2026