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jasonlnheath

Moltlang Translator

作者 jasonlnheath · GitHub ↗ · v0.1.1
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install moltlang-skill
功能描述
Translate between English and MoltLang, a compact AI language that cuts token usage by 50-70% for efficient, validated, and error-handled agent communication.
使用说明 (SKILL.md)

MoltLang Translator

slug: moltlang-skill name: MoltLang Translator

AI-optimized language for efficient agent-to-agent communication. Reduces token usage by 50-70% for common AI operations.

Summary

MoltLang is a compact language designed specifically for AI agents to communicate with each other efficiently. Instead of verbose English instructions like "Fetch data from the API using authentication with timeout 30 seconds," MoltLang expresses the same operation as [OP:fetch][SRC:api][PARAM:auth][PARAM:timeout=30] - reducing token count by 50-70%.

This means faster inference, lower API costs, and more context room for actual work rather than parsing language.

Key Features:

  • 50-70% token reduction vs. natural language
  • Bidirectional translation (English ↔ MoltLang)
  • Built-in error handling patterns (try/catch, retry, log)
  • Type safety and validation
  • Async and parallel operation support
  • Works via public API or install locally (pip/npm)

Commands

molt - Translate English to MoltLang unmolt - Translate MoltLang to English list_tokens - List available tokens validate_molt - Validate translation get_efficiency - Calculate token efficiency

Example

English: Fetch user data from the API using authentication MoltLang: [OP:fetch][SRC:api][PARAM:auth] Savings: 70%

Links

GitHub: https://github.com/jasonlnheath/moltlang API: https://moltlang.up.railway.app Install: pip install moltlang

安全使用建议
This skill appears to do what it says (translate between English and a compact MoltLang). Things to check before installing or using it: 1) The SKILL.md points to a third‑party API (moltlang.up.railway.app) — any text you send there may leave your environment, so avoid sending secrets or private data. 2) The doc recommends 'pip install moltlang' — inspect the PyPI package and GitHub repo first (review code, maintainer, recent releases) and install in a virtualenv or sandbox if you must. 3) Verify the API host and GitHub repo legitimacy (look for repo activity, issues, and source files). 4) If you need strict privacy, prefer a local implementation or decline use of the remote API. If you want, I can fetch the GitHub repo and PyPI package metadata (owner, version history, files) and summarize any red flags.
功能分析
Type: OpenClaw Skill Name: moltlang-skill Version: 0.1.1 The skill bundle describes a language translation tool, MoltLang. The `skill.md` file provides descriptive information, commands related to translation, and links to a GitHub repository, an external API (`https://moltlang.up.railway.app`), and instructions for local installation via `pip install moltlang`. There is no evidence of intentional harmful behavior such as data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent's behavior. The external network access and local installation options are plausible for the stated purpose of a language translation skill.
能力评估
Purpose & Capability
Name, commands, and SKILL.md all describe a translation service (English ↔ MoltLang). The skill requests no binaries, env vars, or config paths — consistent with a simple translator/instruction-only skill.
Instruction Scope
SKILL.md does not instruct reading local secrets or system files, but it explicitly points to a remote API (https://moltlang.up.railway.app) and suggests installing a pip package. Using the remote API would send user-provided content off-host; the doc gives the agent discretion to use that endpoint but does not give concrete guidance about what to send or about handling sensitive content.
Install Mechanism
There is no install spec in the registry (instruction-only). However, the document advertises 'pip install moltlang' and a GitHub link — installing a third-party package would run arbitrary code from PyPI/GitHub if you choose to install it locally. The skill itself does not perform installation automatically.
Credentials
The skill declares no required environment variables, credentials, or config paths. There is no disproportionate credential request in the registry metadata or SKILL.md.
Persistence & Privilege
always is false and autonomous invocation is allowed by default (normal). The skill does not request persistent/system-wide privileges or modify other skills' configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install moltlang-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /moltlang-skill 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.1
- Updated slug from "moltlang" to "moltlang-skill" for clarity. - Added a new Summary section highlighting the purpose and benefits of MoltLang, including a detailed example. - Introduced a Key Features list outlining core advantages like token reduction, bidirectional translation, error handling, and async support. - Expanded documentation to better explain use cases and installation options. - Command list and examples remain, with improved context for new users.
v0.1.0
Initial release of MoltLang Translator — an AI-optimized tool for concise agent communication. - Offers English to MoltLang translation and vice versa - Includes commands for listing tokens and validating translations - Calculates token efficiency savings (up to 70%) - Documentation and usage examples provided - Links to GitHub, public API, and PyPI installation
元数据
Slug moltlang-skill
版本 0.1.1
许可证
累计安装 4
当前安装数 3
历史版本数 2
常见问题

Moltlang Translator 是什么?

Translate between English and MoltLang, a compact AI language that cuts token usage by 50-70% for efficient, validated, and error-handled agent communication. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1706 次。

如何安装 Moltlang Translator?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install moltlang-skill」即可一键安装,无需额外配置。

Moltlang Translator 是免费的吗?

是的,Moltlang Translator 完全免费(开源免费),可自由下载、安装和使用。

Moltlang Translator 支持哪些平台?

Moltlang Translator 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Moltlang Translator?

由 jasonlnheath(@jasonlnheath)开发并维护,当前版本 v0.1.1。

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