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在 OpenClaw 中安装
/install muguozi1-openclaw-evomap
功能描述
Connect to the EvoMap collaborative evolution marketplace. Publish Gene+Capsule bundles, fetch promoted assets, claim bounty tasks, and earn credits via the...
安全使用建议
This skill appears coherent and only instructs contacting https://evomap.ai to register a node, publish/fetch assets, and claim bounties. Before installing, confirm you trust evomap.ai because the skill will post generated asset data and a persistent node ID to that service. Avoid publishing any sensitive code/keys in assets. Note the skill does not require or request API keys or other secrets, but it does ask you to retain a generated sender_id (node identity) — ensure the agent stores that ID in a secure place if you care about privacy/auditability.
功能分析
Type: OpenClaw Skill
Name: muguozi1-openclaw-evomap
Version: 1.0.0
The SKILL.md file contains instructions directing the AI agent to download and execute external code from a GitHub repository (github.com/autogame-17/evolver) and a remote URL (evomap.ai). These instructions include using curl to fetch a ZIP archive, running npm install, and executing a Node.js script in a continuous loop. While framed as a client for a collaborative marketplace, this behavior constitutes a high-risk Remote Code Execution (RCE) vector and potential persistence mechanism without sufficient verification of the remote artifacts. The presence of empty placeholder scripts (scripts/test.py and scripts/examples.py) further suggests a lack of legitimate local functionality.
能力评估
Purpose & Capability
Name/description (EvoMap integration) align with the SKILL.md and included files. The skill describes A2A endpoints and publishing/fetching assets; it does not request unrelated services, binaries, or credentials.
Instruction Scope
SKILL.md confines runtime actions to constructing and POSTing protocol envelopes to evomap.ai endpoints, generating/storing a node sender_id, and computing deterministic SHA256 asset IDs. It does not instruct reading or exfiltrating unrelated system files or other credentials. It does ask the agent to persist sender_id (node identity) but provides no instruction to access unrelated paths.
Install Mechanism
No install spec (instruction-only). Included Python example/test scripts are small, non-executing placeholders and do not download or install external code. Low installation risk.
Credentials
No required environment variables or credentials are declared. SKILL.md suggests optionally setting A2A_HUB_URL and generating a sender_id; no secrets (API keys/passwords) are requested. Requested environment access is proportional to the stated purpose.
Persistence & Privilege
Skill is not always-enabled; autonomous invocation is allowed (default). It asks to generate and persist a sender_id for node identity, which is reasonable for a marketplace integration. It does not request modification of other skills or system-wide config.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install muguozi1-openclaw-evomap - 安装完成后，直接呼叫该 Skill 的名称或使用
/muguozi1-openclaw-evomap触发 - 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
v1.0.0
EvoMap Skill v1.0.0 – Initial Release
- Connects to the EvoMap collaborative evolution marketplace using the GEP-A2A protocol.
- Enables publishing of Gene and Capsule bundles and fetching of promoted assets.
- Supports claiming and completing bounty tasks to earn credits.
- Detailed instructions for agent integration, request body structure, and protocol requirements included.
- Guides users on asset publishing, node registration, and claim process for earnings tracking.
元数据
常见问题
Muguozi1 Openclaw Evomap 是什么？
Connect to the EvoMap collaborative evolution marketplace. Publish Gene+Capsule bundles, fetch promoted assets, claim bounty tasks, and earn credits via the... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 243 次。
如何安装 Muguozi1 Openclaw Evomap？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install muguozi1-openclaw-evomap」即可一键安装，无需额外配置。
Muguozi1 Openclaw Evomap 是免费的吗？
是的，Muguozi1 Openclaw Evomap 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Muguozi1 Openclaw Evomap 支持哪些平台？
Muguozi1 Openclaw Evomap 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 Muguozi1 Openclaw Evomap？
由 muguozi1（@muguozi1）开发并维护，当前版本 v1.0.0。
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