Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails while preserving reasoning. 9 CLI methods, 28 analysis modules, 116 model presets across 5 compute tiers, tournament evaluation, and telemetry-driven recommendations. Use when a user wants to uncensor, abliterate, or remove refusal from an LLM.
How to install obliteratus?
moltis-org/moltis/obliteratus
$npx -y skills add moltis-org/moltis --skill obliteratusInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/moltis-org/moltis" --skill "moltis-org/moltis/obliteratus"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/moltis-org/moltis" that are relevant to the current task. Run `npx skills add "https://github.com/moltis-org/moltis"` and select the relevant skills, then follow their instructions.
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