REPOGEO REPORT · LITE

elder-plinius/OBLITERATUS

Default branch main · commit a5a1ffa5 · scanned 6/22/2026, 2:31:37 AM

GitHub: 6,702 stars · 1,283 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface elder-plinius/OBLITERATUS, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the README's opening to clarify LLM domain

Why:

CURRENT

OBLITERATUS** is the most advanced open-source toolkit for understanding and removing refusal behaviors from large language models — and every single run makes it smarter.

COPY-PASTE FIX

OBLITERATUS is the most advanced open-source toolkit for **Large Language Models (LLMs)**, specifically designed for understanding and removing refusal behaviors without retraining or fine-tuning.

hightopics#2

Add relevant topics to the repository

Why:

COPY-PASTE FIX

llm, large-language-models, ai, nlp, abliteration, mechanistic-interpretability, model-editing, refusal-behavior, interpretability, model-safety

mediumabout#3

Update the repository description for clarity

Why:

CURRENT

OBLITERATE THE CHAINS THAT BIND YOU

COPY-PASTE FIX

One-click toolkit for understanding and removing refusal behaviors from large language models (LLMs), with a chat playground.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface elder-plinius/OBLITERATUS

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

huggingface/transformers

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

huggingface/transformers · recommended 2×
huggingface/trl · recommended 1×
OpenAI's API · recommended 1×
Anthropic's Constitutional AI · recommended 1×
LoRA · recommended 1×

CATEGORY QUERY
How to remove unwanted refusal behaviors from large language models?
you: not recommended
AI recommended (in order):
1. Hugging Face's TRL (huggingface/trl)
2. OpenAI's API
3. Anthropic's Constitutional AI
4. Hugging Face's Transformers library (huggingface/transformers)
5. LoRA
6. QLoRA
7. Alpaca-LoRA (tloen/alpaca-lora)
8. OpenAI API
9. Anthropic API
10. NVIDIA NeMo Guardrails (NVIDIA/NeMo-Guardrails)
11. LangChain (langchain-ai/langchain)
12. Microsoft's Guidance (microsoft/guidance)
13. Apache Spark (apache/spark)
14. Dask (dask/dask)
15. Pandas (pandas-dev/pandas)
AI recommended 15 alternatives but never named elder-plinius/OBLITERATUS. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Open-source toolkit for understanding and modifying LLM internal reasoning or biases?
you: not recommended
AI recommended (in order):
1. Interpret-LM (interpret-lm/interpret-lm)
2. TransformerLens (Anthropic/TransformerLens)
3. Captum (pytorch/captum)
4. LIME (marcotcr/lime)
5. SHAP (shap/shap)
6. Fairlearn (fairlearn/fairlearn)
7. Hugging Face Transformers (huggingface/transformers)
AI recommended 7 alternatives but never named elder-plinius/OBLITERATUS. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of elder-plinius/OBLITERATUS?
pass
AI named elder-plinius/OBLITERATUS explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts elder-plinius/OBLITERATUS in production, what risks or prerequisites should they evaluate first?
pass
AI named elder-plinius/OBLITERATUS explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo elder-plinius/OBLITERATUS solve, and who is the primary audience?
pass
AI named elder-plinius/OBLITERATUS explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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elder-plinius/OBLITERATUS — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite