SKILLEMALL.ai

BF minigame-i18n

微信小游戏出海本地化翻译技能。帮助国内微信小游戏完成国际化(i18n),支持从中文翻译到英语、韩语、泰语等目标语言。 当用户提到以下任何场景时,请使用本技能: - "本地化"、"国际化"、"i18n"、"翻译"、"出海"、"多语言" - "把游戏翻译成英文/韩文/泰文" - "小游戏出海"、"游戏本地化" - "提取中文文本"、"扫描项目中的中文" - "生成语言包"、"替换中文文本" - "翻译图片"、"图片本地化"、"OCR" - 任何关于小游戏项目的多语言适配需求 即使用户只是模糊提到"这个游戏要给海外用户用"之类的表述,也应当触发此技能。

ClawHub Agent Skills author: 腾讯开源 v1.0.1 MIT-0 16 files body ≈ 4 639 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 34/100 · Will not run — References files that are not bundled: scripts/scanner.js, scripts/scan_strings.js, scripts/node_modules/

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: scripts/scanner.js, scripts/scan_strings.js, scripts/node_modules/
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: 16. 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: scripts/scanner.js
  • warning missing-ref reference to a missing file: scripts/scan_strings.js
  • warning missing-ref reference to a missing file: scripts/node_modules/

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: scripts/scanner.js, scripts/scan_strings.js, scripts/node_modules/
  • 0Tools and files. 3 referenced file(s) missing: scripts/scanner.js, scripts/scan_strings.js, scripts/node_modules/
  • 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
  • 70Execution cost. Instruction body is 4639 tokens
  • 100Steps. 157 steps
  • 100Consistency. Name and required fields are in place
  • 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
  • -229 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 278: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 157 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)
  • +3All 6 scripts are documented

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

External checks

ClawHub: suspicious
This appears to be a legitimate mini-game localization skill, but it can persist credentials, upload project images externally, install dependencies, and automatically rewrite project source files, so it needs human review before installation.
LLM: suspicious (high) · 28 May 2026