everclaw

everclaw is an Agent runtime & coordination infrastructure skill for AI agents, published by dvcrn in the openclaw-skills-marketplace repository on GitHub. Skillspace rates everclaw F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

AI inference you own, forever powering your OpenClaw agents via the Morpheus decentralized network. Stake MOR tokens, access Kimi K2.5 and 30+ models, and maintain persistent inference by recycling staked MOR. Includes Morpheus API Gateway bootstrap for zero-config startup, OpenAI-compatible proxy with auto-session management, automatic retry with fresh sessions, OpenAI-compatible error classification to prevent cooldown cascades, multi-key auth profile rotation for Venice API keys, Gateway Guardian v4 with billing-aware escalation, through-OpenClaw inference probes, proactive Venice DIEM credit monitoring, circuit breaker for stuck sub-agents, and nuclear self-healing restart, always-on proxy-router with launchd auto-restart, smart session archiver to prevent dashboard overload, bundled security skills, zero-dependency wallet management via macOS Keychain, x402 payment client for agent-to-agent USDC payments, and ERC-8004 agent registry reader for discovering trustless agents on Base.

Grade
F
Quality
15 / 100
Safety
Unsafe
GitHub stars
23

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
76 / 100
Maturity
Basic: a single SKILL.md
Security scan
Critical-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 1 collections

What the scanner flagged

  • pipe remote script to shell
  • exfiltration language
  • references sensitive credential env
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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