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跨平台游戏库查询工具（含中文名）。统一查询 Steam 和 Epic Games 游戏库，支持搜索、统计、推荐等功能，自动显示中文游戏名。当用户问游戏库相关问题时触发，包括"我有什么游戏"、"搜索XX游戏"、"没玩过的游戏推荐"、"游戏统计"、"Steam游戏"、"Epic游戏"、"跨平台游戏"等。触发词：游戏库、游戏统计、我的游戏、游戏推荐、game library、cross-platform games。

ClawHub Agent Skills author: vlalamoon v1.0.0 MIT-0 5 files · 1 script body ≈ 588 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

跨平台游戏库查询工具（含中文名）。统一查询 Steam 和 Epic Games…

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

IntegrationSoftware developmenttype 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
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: 5. 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 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 (game-library) differs from the folder (game-library-publish)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 13 steps
  • 100Execution cost. Instruction body is 588 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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 207: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (4 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
This is a coherent game-library helper, but a crafted search term could make it run unintended code.
LLM: suspicious (high) · 9 Aug 2026