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AC worldsim

世界模拟器 · 故事引擎 · 即兴戏剧 · 角色扮演。本地持久化世界状态（运行会在 worlds 数据目录下创建、修改和删除本地文件——缺省 worlds/，可由环境变量 WORLDSIM_WORLDS_DIR 指向你自己的目录）、导入 SillyTavern 角色卡、推进互动剧情，以及执行存档、读档、回滚与状态修复。仅在用户明确要求运行世界模拟、且请求指向具体世界（如启动/继续/进入XXXX世界，或明确要求创建XXXX世界/导入角色卡至XXXX世界）时激活；日常聊天提及、讨论或引用世界/角色/剧情话题不激活，与已有世界无关的泛化扮演/role-play 请求也不激活。

ClawHub Agent Skills author: zhaowh v0.27.1 MIT-0 60 files body ≈ 2 319 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 56/100 · 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%
100
Quality 40%
74
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: worldsim (ClawHub)

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
  • 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: 58. 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")

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2319 tokens
  • medium 5 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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
  • -310 of 12 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 288: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (21 of 23)
  • +1License stated

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

External checks

ClawHub: suspicious
This is a coherent local story-simulation skill, but it needs review because some destructive world-data operations are not protected by code-enforced confirmation or verified backups.
LLM: suspicious (high) · VirusTotal: · 7 Sept 2026