velorn AGENTS.md

velorn AGENTS.md is an instructions file for Codex, OpenCode from VelornLabs/velorn. It costs 269 tokens per session, scanned A, original, GPL-3.0.

Project instructions for VelornLabs/velorn, a project for AI-assisted video editing with creative timelines and locally controlled agents. No further details are provided in the input.

In plain words
What is it for?
The input does not provide enough detail to identify concrete jobs beyond guiding work on that video-editing project.
Why use it?
The input does not say what specific problem these instructions solve.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/velornlabs/velorn/agents-md
Clone the repo
git clone --depth 1 https://github.com/VelornLabs/velorn

Made for: Codex, OpenCode.

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 velorn AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/velornlabs/velorn/agents-md.svg)](https://agentmods.dev/instructions/velornlabs/velorn/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/velornlabs/velorn/agents-md"><img src="https://agentmods.dev/badge/instructions/velornlabs/velorn/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 269 This file is loaded in full into every session.
When invoked 269 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00269 $0.00269
Opus 5 $0.00134 $0.00134
Sonnet 5 $0.00054 $0.00054
Haiku 4.5 $0.00027 $0.00027

Measured 5d ago against content hash 87eed9b674cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

velorn AGENTS.md 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.

AGENTS.md · 13 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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 · 13 lines · 269 tokens per session scan A 87eed9b674cb

Subscribe to this mod's changes

velorn AGENTS.md is an instructions file published in the GitHub repository VelornLabs/velorn (467 stars, last pushed 4d ago), licensed GPL-3.0. It adds 269 tokens to every session, about $0.0013 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.

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