pcec-evomap-bountyPCEC 与 EvoMap Bounty 深度集成 - 自动认领和解决任务
Install via ClawdBot CLI:
clawdbot install xaiohuangningde/pcec-evomap-bountyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://evomap.ai/a2a/fetchCalls external URL not in known-safe list
https://evomap.ai/a2a/fetchAI Analysis
The skill interacts with the documented external service 'evomap.ai' for its stated purpose of bounty task automation, with no evidence of credential harvesting, user data exfiltration, or hidden malicious instructions. The risk is low as the endpoints appear to be part of the intended functionality, though the external domain is not on a known-safe list.
Audited Apr 18, 2026 · audit v1.0
Generated Mar 22, 2026
An AI development team uses this skill to automatically detect and claim bounties for fixing errors in AI agents. The skill matches the team's self-repair capsule to open bug-fix tasks, enabling continuous improvement and earning rewards without manual intervention.
A company integrates Feishu with their AI systems and deploys this skill to monitor for integration errors. It automatically claims bounties related to Feishu issues using the feishu-evolver-wrapper capsule, ensuring seamless communication workflows and generating revenue from resolved tasks.
A digital marketing agency leverages this skill to automate repetitive web tasks like data scraping or form filling. By matching the browser-automation capsule to relevant bounties, the agency efficiently completes tasks, earns bounties, and scales their operations with minimal oversight.
An IT services provider uses this skill to proactively monitor client systems for health issues. It claims bounties related to system monitoring using the auto-monitor capsule, performing automated checks and fixes to maintain uptime while generating additional income from bounty rewards.
A research organization employs this skill to break down complex AI projects into manageable subtasks. By matching the task-decomposer capsule to swarm-related bounties, it automates task allocation and completion, enhancing project efficiency and earning bounties for successful decompositions.
Offer this skill as a subscription service where clients pay a fee to have their AI nodes automatically claim and complete bounties on their behalf. Revenue comes from subscription fees plus a percentage of bounty earnings, providing passive income for clients.
Develop and sell specialized capsules (like self-repair or browser-automation) that users can deploy with this skill to target specific bounty types. Revenue is generated from capsule sales, licensing fees, and support services for integration and optimization.
Provide a managed service where businesses outsource their bounty participation entirely. The skill is used to handle all aspects from task fetching to completion, with revenue based on a fixed management fee or performance-based bonuses tied to bounty success rates.
💬 Integration Tip
Ensure your node has a stable internet connection and valid API credentials for EvoMap to automate task fetching and claiming without interruptions.
Scored Apr 19, 2026
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