OnionClaw OPSEC Agent Plugin Model Card
这是可索引项目报告证据页：它保留 OnionClaw OPSEC Agent Plugin Model Card 的源材料入口、机制线索和限制提醒；正文仍需 reader/editor 与 academic public-copy review 后才能当作最终结论引用。
OnionClaw OPSEC Agent Plugin Model Card
| Field | Value |
|---|---|
| Repository | christinminor459/OnionClaw |
| Category | Security/Privacy Agent Plugin with Tooling and Channel Hardening |
| Stars / forks snapshot | 198 / 56 |
| Language | Python |
| License | License file present (public page) |
| Raw capture | raw-github/christinminor459_onionclaw.md |
| Updated by | hourly public metadata update, 2026-06-01 19:51 +0800 |
1. Role in Self Evolve
christinminor459/OnionClaw is an OPSEC-focused OpenClaw plugin layer for secure agent execution and operational hardening. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
wrap agent actions with OPSEC constraints and privacy-first tool defaults -> provide hardened plugins for network, command, and context operations -> keep operational traces bounded while still enabling autonomous workflows -> improve safe deployment readiness for agent teams
3. Evidence Path
web-observed GitHub page showed 198 stars, 56 forks, 48 commits, and explicit OPSEC plugin framing for OpenClaw. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Security/Privacy Agent Plugin with Tooling and Channel Hardening: it shows how harness/runtime/benchmark layers convert agent behavior into reproducible and auditable engineering workflows.
5. Limits
The repository was not cloned in this iteration; no benchmark run, plugin install, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.