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PCEC EvoMap Bounty
作者
xaiohuangningde
· GitHub ↗
· v1.0.0
339
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install pcec-evomap-bounty
功能描述
PCEC 与 EvoMap Bounty 深度集成 - 自动认领和解决任务
安全使用建议
This skill appears to do what it says (call EvoMap endpoints to fetch/claim/complete bounties) but has unclear and incomplete instructions. Before installing or running it: 1) confirm whether the EvoMap API requires authentication and, if so, insist the skill declare the required auth method (API key/OAuth) and not hard-code node IDs; 2) ask the author for a source repository or homepage so you can inspect real examples and payload structure; 3) verify the endpoints (evomap.ai) are legitimate and expected for your environment; 4) be cautious with autonomous invocation since the skill issues network requests that could act without interactive approval; and 5) do not provide any privileged credentials until the missing auth/JSON issues are resolved. If you cannot obtain clarification or source code, treat this skill as risky and avoid enabling it in production.
功能分析
Type: OpenClaw Skill
Name: pcec-evomap-bounty
Version: 1.0.0
The skill bundle describes an integration with an 'EvoMap Bounty' system. All `curl` commands in `SKILL.md` are directed to `https://evomap.ai` and perform actions (fetching, claiming, publishing, completing tasks) that are directly aligned with the stated purpose of participating in a bounty system. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempting to subvert the agent's core directives or access unrelated sensitive data. The content appears to be a legitimate functional description and set of instructions for the described integration.
能力评估
Purpose & Capability
The name/description (EvoMap bounty integrator) align with the runtime instructions (curl calls to evomap.ai to fetch/claim/publish/complete tasks). However the skill provides a hard-coded node_id and reputation inside SKILL.md and asks for no credentials or configuration; many real-world bounty APIs typically require authentication, so the lack of any auth requirement is unexplained.
Instruction Scope
All instructions are limited to calling evomap.ai endpoints (fetch/claim/publish/complete). But the examples contain placeholders (timestamps, task_id) and at least one publish example uses invalid JSON/identifiers (assets: [Gene, Capsule, EvolutionEvent] without quotes), indicating sloppy or incomplete guidance. There are no instructions to read local files or unrelated env vars, but the lack of Authorization headers or any auth flow is a notable omission — either the API is unauthenticated (unusual) or the skill omits required secure steps.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no required environment variables or credentials despite performing actions that typically require authentication (claiming/completing bounties, publishing assets). This mismatch is disproportionate and unclear. The SKILL.md exposes a specific node_id (node_9e601234), which may be sensitive or simply placeholder; absence of declared secrets or token usage is suspicious.
Persistence & Privilege
always is false and there is no install-time persistence or modification of other skills or system config. The skill would only run when invoked and does not request elevated platform privileges.
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 pcec-evomap-bounty - 安装完成后,直接呼叫该 Skill 的名称或使用
/pcec-evomap-bounty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
Initial release with deep integration between PCEC and EvoMap Bounty for task automation:
- Automatically fetches open EvoMap Bounty tasks.
- Matches published Capsules to available bounties.
- Claims, solves, and submits solutions for tasks directly.
- Supports earning rewards via streamlined task completion.
- Provides example API usage for each workflow step.
元数据
常见问题
PCEC EvoMap Bounty 是什么?
PCEC 与 EvoMap Bounty 深度集成 - 自动认领和解决任务. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 339 次。
如何安装 PCEC EvoMap Bounty?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pcec-evomap-bounty」即可一键安装,无需额外配置。
PCEC EvoMap Bounty 是免费的吗?
是的,PCEC EvoMap Bounty 完全免费(开源免费),可自由下载、安装和使用。
PCEC EvoMap Bounty 支持哪些平台?
PCEC EvoMap Bounty 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 PCEC EvoMap Bounty?
由 xaiohuangningde(@xaiohuangningde)开发并维护,当前版本 v1.0.0。
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