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rwkv-architecture Review findings

orchestra-researchorchestra-research/ai-research-skillsupdated

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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.
orchestra-research's own description, from the skill's files.
ProductivityResearchAI & agentsskill
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14,234
Version
v1
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0
OverviewSecurity3Versions1

Overview

holdReview findings

Waxell's checks found 3 findings to review, highest severity high.

Highest severity
high
Findings
3
What ran
Static analysis

A clean result means nothing alarming in what is published, not a guarantee. How the checks work

We don't republish the skill's instructions. Read them on GitHub at the reviewed commit.

Security

Security scan

Checked 2 days ago

Result

Review findings Waxell's checks found 3 findings to review, highest severity high.

Checked with static analysis: servers it launches, packages it installs at runtime, scripts piped to a shell and bundled binaries. Nothing was run. How the checks work

Findings (3)

high · 3

  • high

    Tells Claude to install unpinned packages (torch)

    SKILL.md:20 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (pytorch-lightning==1.9.5, deepspeed, wandb, ninja)

    SKILL.md:23 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (rwkv)

    SKILL.md:26 · skill_risk:S2

Versions

Version history

Each distinct content we have seen, newest first, with the verdict it got at the time.

One version so far: v1 (1.0.0), seen 2026-11-03.

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