obliteratus

obliteratus is a Local & open models skill for AI agents, published by math-inc in the OpenGauss repository on GitHub. Skillspace rates obliteratus B (85/100) and our model flagged it for guardrail bypass; a judge model has also reviewed it.

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.

Grade
B
Quality
85 / 100
Safety
Flagged by our model: guardrail bypass
GitHub stars
1,237

Placed #6 of 6 in the judged category final for Local & open models.

Not launch-quality. It is graded B, but our model flagged it for guardrail bypass, which keeps it out of our recommendations and rankings. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
97 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
The static scan found no issues, but our model flagged it for guardrail bypass.
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. Using the OBLITERATUS toolkit's CLI methods, presets and modules.

Judge review

Placed #6 of 6 in the judged category final for Local & open models.

  • Trigger8888
  • Instructions8585
  • Specificity9090
  • Safety1010
  • Disclosure5555
  • Maintenance6868
Otherwise polished and specific, but its entire purpose is stripping refusal and safety alignment from models, the most over-broad capability in this batch.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Also published in 1 other repo

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