obliteratus

obliteratus is a skill for Claude Code, Codex from danielw-sudo/skill-quiver. It costs 21 tokens per session (3,916 once invoked), scanned A, original, no licence file.

A tool for removing refusal behaviour from language models using a method based on comparing activation differences.

In plain words
What is it for?
It is for experimenting with how model refusal behaviour changes during inference or model modification.
Why use it?
It addresses cases where a model refuses requests, although the input does not explain which requests or models are supported.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for experimenting with how model refusal behaviour changes during inference or model modification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielw-sudo/skill-quiver/obliteratus
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add danielw-sudo/skill-quiver --skill obliteratus
Clone the repo
git clone --depth 1 https://github.com/danielw-sudo/skill-quiver

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for obliteratus

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielw-sudo/skill-quiver/obliteratus/github.svg)](https://agentmods.dev/skills/danielw-sudo/skill-quiver/obliteratus)
Your own site
<a href="https://agentmods.dev/skills/danielw-sudo/skill-quiver/obliteratus"><img src="https://agentmods.dev/badge/skills/danielw-sudo/skill-quiver/obliteratus/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for obliteratus

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielw-sudo/skill-quiver/obliteratus"><img src="https://agentmods.dev/badge/skills/danielw-sudo/skill-quiver/obliteratus.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,916 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.03916
Opus 5 $0.00010 $0.01958
Sonnet 5 $0.00004 $0.00783
Haiku 4.5 $0.00002 $0.00392

Measured 5d ago against content hash 9fb394a0af2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

obliteratus scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

mlops/obliteratus/SKILL.md · 343 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 343 lines · 21 tokens per session scan A 9fb394a0af2a

Subscribe to this mod's changes

obliteratus is a skill published in the GitHub repository danielw-sudo/skill-quiver (2 stars, last pushed 2mo ago), with no licence file. It adds 21 tokens to every session and 3,916 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens

training-check

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.

wanshuiyin/Auto-claude-code-research-in-sleep · 35 tokens

nemo-automodel-launcher-config

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills · 30 tokens