latent-gate: Skill for Claude Code

.agents/skills/latent-gate-compression/SKILL.md

latent-gate-compression is a skill for Claude Code, Codex from KathanModh259/latent-gate. It costs 73 tokens per session (1,051 once invoked), scanned A, original, no licence file.

A local tool for shortening images, long instructions, conversations, and documents before sending them to a language model. It uses Ollama, a program for running models on your own computer.

In plain words
What is it for?
Use it when working with uploaded images, lengthy prompts or conversations, or several retrieval-augmented generation sources.
Why use it?
It aims to reduce the amount of text or image data an AI model must process, which can help avoid context limits and lower token use.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is KathanModh259/latent-gate's own configuration. It tells Claude Code and Codex how to work on latent-gate itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything latent-gate configures →

Reuse

Borrowing it

Nothing to install: this file belongs to KathanModh259/latent-gate. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/KathanModh259/latent-gate/master/.agents/skills/latent-gate-compression/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/KathanModh259/latent-gate

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 latent-gate-compression

README.md
[![agentmods](https://agentmods.dev/badge/skills/kathanmodh259/latent-gate/latent-gate-compression/github.svg)](https://agentmods.dev/skills/kathanmodh259/latent-gate/latent-gate-compression)
Your own site
<a href="https://agentmods.dev/skills/kathanmodh259/latent-gate/latent-gate-compression"><img src="https://agentmods.dev/badge/skills/kathanmodh259/latent-gate/latent-gate-compression/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 latent-gate-compression

Your own site · 80×15
<a href="https://agentmods.dev/skills/kathanmodh259/latent-gate/latent-gate-compression"><img src="https://agentmods.dev/badge/skills/kathanmodh259/latent-gate/latent-gate-compression.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,051 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 $0.00073 $0.01051
Opus 5 $0.00036 $0.00526
Sonnet 5 $0.00015 $0.00210
Haiku 4.5 $0.00007 $0.00105

Measured 9d ago against content hash 578acf0b6d87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

latent-gate-compression 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 9d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/compress_docs.py, scripts/compress_image.py, scripts/compress_text.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/latent-gate-compression/SKILL.md · 134 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

3 files 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. 9d ago First seen · 134 lines · 73 tokens per session scan A 578acf0b6d87

Subscribe to this mod's changes

latent-gate-compression is a skill published in the GitHub repository KathanModh259/latent-gate (24 stars, last pushed 1mo ago), with no licence file. It adds 73 tokens to every session and 1,051 once invoked, about $0.0004 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 2026-08-30.