Hermes runtime traffic monitoring baseline for opt-in proxy inspection, egress detection, and attestation-aware traffic posture.

Hermes-only runtime security attestation and drift detection skill for operator-managed Hermes infrastructure.

Harness-neutral community incident reporting for AI agents. Contribute to collective security by reporting threats.

ClawSec suite manager with embedded advisory-feed monitoring, cryptographic signature verification, approval-gated malicious-skill response, and guided setup for additional security skills.

Automated vulnerability scanner for agent platforms. Performs dependency scanning (npm audit, pip-audit), multi-database CVE lookup (OSV, NVD, GitHub Advisory), SAST analysis (Semgrep, Bandit), and agent-specific static hook inspection for OpenClaw hooks.

Use when checking for security vulnerabilities in NanoClaw skills, before installing new skills, or when asked about security advisories affecting the bot

Security advisory feed package for OpenClaw-related threats and vulnerabilities. The upstream feed is updated daily; local automation is handled by clawsec-suite or the operator.

ClawHub reputation checker for clawsec-suite. Adds a standalone reputation gate before guarded skill installation.

Release automation for Claw skills and website. Guides through version bumping, tagging, and release verification.

Converts PyTorch models (e.g. ResNet, timm, HuggingFace transformers) directly to LiteRT (.tflite) flatbuffer format. Use when converting PyTorch models to TFLite, setting up export environments, or troubleshooting torch-to-litert conversion bugs. Don't use for ONNX exports or converting existing TensorFlow models.

Validates equivalence between LiteRT models (litert_lm) and PyTorch models (transformers). Use when you need to verify that an exported LiteRT model produces the same outputs as the original Hugging Face model. Supports multi-turn conversations and custom prompts.

Assists the user to calibrate, merge, and statically quantize litert LLM models (such as Gemma 3) in standard open-source (OSS) environments. Use when the user wants to run LLM calibration, merge task JSON results, align KV cache parameters across models, protect sensitive layers in Float32, or run quantized inference testing. Don't use for JAX/PyTorch custom quantization configurations or non-litert models.

Prepare a Neva GitHub release draft from merged PRs, previous release style, and local multi-platform artifacts. Use this for monthly release preparation in nevalang/neva.

Create a Discord-ready Neva release announcement from a GitHub release payload. Use for official Neva Discord release posts.

Convert Neva programs to valid Mermaid flowchart diagrams. Use when asked to visualize Neva code as Mermaid.

Use for Neva source or snippets: authoring, refactoring, debugging, or review.

Use for Go changes in Neva: authoring, refactoring, debugging, or review.

CodeStable 入口。触发：用户调用 cs、想先讨论或对齐、想了解体系、问该用哪个 skill，或带着诉求未选入口。明确行动同轮直转；先讨论的请求收敛后同轮移交。

行为等价的重构、拆分、性能优化。会改变外部可观察行为的诉求走 cs-feat 或 cs-issue。

仓库接入 CodeStable：创建最小骨架，或为 v1 存量项目做无损升级说明。