MegaCapybara: The fastest inference engine for Qwen3.8-27B on the NVIDIA RTX 5090

by perkel666 · Claude Skill · ★ 55

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 54/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

anthropic-apiclaude-codecudainference-enginelinuxllmlocal-llmopenai-apiqwenrtx-5090

Quick Facts

Stars55
Forks1
CategoryClaude Skill
LicenseMIT
Quality Score54/100
Open Issues4
Last Updated2026-11-04
Created2026-10-03
Platformsclaude-code
Est. Tokens~18k

About MegaCapybara

MegaCapybara The fastest inference engine for Qwen3.8-27B on the NVIDIA GeForce RTX 5090. Up to 500 tokens/s for one coding agent and up to 2,000 tokens/s for a team of them, on Windows 11 and Linux. A launcher sets it up and shows, before you load, what every setting costs in accuracy, speed and memory.

Compatible Skills

These tools work well together with MegaCapybara for enhanced workflows:

  • imp — semantic(0.27)+complementary+rare_topics+similar_pop (58%)
  • jevfire — semantic(0.16)+complementary+shared_fw(huggingface)+rare_topics+similar_pop (53%)

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  • loz by joone · ⭐ 261

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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