model-pruning

model-pruning is a skill for Claude Code, Codex from OpenLAIR/dr-claw. It costs 70 tokens per session (3,762 once invoked), scanned A, original, no licence file.

A guide to pruning large language models by removing selected weights, the values that shape how a model responds. It covers unstructured, structured, and hardware-oriented sparsity methods such as Wanda and SparseGPT.

In plain words
What is it for?
Use it to compress language models, create sparse versions, and prepare them for faster inference on hardware accelerators.
Why use it?
It can make models smaller and faster without requiring full retraining, while limiting the loss of accuracy.

Skill for Claude CodeCodex

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

Good fit Use it to compress language models, create sparse versions, and prepare them for faster inference on hardware accelerators.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openlair/dr-claw/model-pruning
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 OpenLAIR/dr-claw --skill model-pruning
Clone the repo
git clone --depth 1 https://github.com/OpenLAIR/dr-claw

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 model-pruning

README.md
[![agentmods](https://agentmods.dev/badge/skills/openlair/dr-claw/model-pruning/github.svg)](https://agentmods.dev/skills/openlair/dr-claw/model-pruning)
Your own site
<a href="https://agentmods.dev/skills/openlair/dr-claw/model-pruning"><img src="https://agentmods.dev/badge/skills/openlair/dr-claw/model-pruning/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 model-pruning

Your own site · 80×15
<a href="https://agentmods.dev/skills/openlair/dr-claw/model-pruning"><img src="https://agentmods.dev/badge/skills/openlair/dr-claw/model-pruning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,762 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00070 $0.03762
Opus 5.5 $0.00028 $0.01505
Sonnet 5.5 $0.00014 $0.00752
Haiku 4.5 $0.00007 $0.00376

Measured 2mo ago against content hash aca913d834bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

model-pruning 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 2mo 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.

skills/emerging-techniques/model-pruning/SKILL.md · 496 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 496 lines · 70 tokens per session scan A aca913d834bc

Subscribe to this mod's changes

model-pruning is a skill published in the GitHub repository OpenLAIR/dr-claw (1,200 stars, last pushed 2d ago), with no licence file. It adds 70 tokens to every session and 3,762 once invoked, about $0.0003 per session on Opus 5.5. 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

model-pruning compared with skills from other repositories

model-pruning next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
model-pruningOpenLAIR/dr-clawSkill1.2k2d agononeA70Claude Code, Codex
model-pruningOrchestra-Research/AI-Research-SKILLsSkill14k28d agoMITA70Claude Code
model-pruningliortesta/ClawdAgentSkill122mo agoApache-2.0A70Claude Code
model-pruningOpenLAIR/dr-claw-plugin-ccSkill55mo agononeA70Claude Code
model-pruningihatesea69/HieuNghi-AI-SkillsSkill38mo agoMITA70Claude Code, Codex
knowledge-distillationsynthetic-sciences/openscienceSkill4.4ktodayApache-2.0A65Claude Code, Codex
speculative-decodingsynthetic-sciences/openscienceSkill4.4ktodayApache-2.0A77Claude Code, Codex