Skill profile

rwkv-architecture

RNN+Transformer hybrid with O(n) inference.

What this skill does for you

RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.

Quoted from the skill description in the pinned source

Who made it

Publisherdavila7

Repositoryclaude-code-templates

Installs286as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the rwkv-architecture skill from davila7/claude-code-templates.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 6af7cdf57b810aca5e544a0f695bf058f1c2a744. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 6af7cdf57b810aca5e544a0f695bf058f1c2a744. Raw findings: 3. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 6af7cdf57b810aca5e544a0f695bf058f1c2a744. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/davila7/claude-code-templates
Pinned skill file: View source at revision
Revision: 6af7cdf57b810aca5e544a0f695bf058f1c2a744
Package hash: sha256:146fb0d231e53a293e36258a95d7c5a19e8041eecac1a60104de54575ff4a416
Licence: MIT