video-agent-runtime: Instructions file for Codex

AGENTS.md

video-agent-runtime AGENTS.md is an instructions file for Codex, OpenCode from YansIlinta/video-agent-runtime. It costs 1,354 tokens per session, scanned A, original, MIT.

Repository instructions for coding agents working on a video-editing application. They explain which documents to read, which shared concepts define the architecture, and how to handle providers, speech models, secrets, and editing state.

In plain words
What is it for?
They are for guiding code changes in the video runtime, locating the right documentation, preserving shared domain objects, and following security and provider rules.
Why use it?
They help an agent make changes with the project’s existing structure and rules instead of inventing a separate design or loading irrelevant context.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is YansIlinta/video-agent-runtime's own configuration. It tells Codex and OpenCode how to work on video-agent-runtime 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 video-agent-runtime configures →

Reuse

Borrowing it

Nothing to install: this file belongs to YansIlinta/video-agent-runtime. 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/YansIlinta/video-agent-runtime/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/YansIlinta/video-agent-runtime

Made for: Codex, OpenCode.

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Per session 1,354 This file is loaded in full into every session.
When invoked 1,354 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.01354 $0.01354
Opus 5.5 $0.00542 $0.00542
Sonnet 5.5 $0.00271 $0.00271
Haiku 4.5 $0.00135 $0.00135

Measured 1mo ago against content hash 048d925d7339, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

video-agent-runtime AGENTS.md scanned grade A with 1 finding 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 1mo 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

- `child_process`
AGENTS.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository rules for coding agents

This repository is developed with coding agents, but the agent is not the product architecture. Before changing code, preserve the runtime invariants below.

Start with the narrowest relevant context

Read only what the task needs:

Do not load every document for every task.

Authoritative architecture

The following shared domain/runtime concepts remain authoritative across CLI, MCP, Control API, Node and Mobile hosts:

VideoAgentCore
Project / ProjectRepository
Workflow
Transcript
EditingStrategy
EditPlan
EditPatch
Timeline
Version
Job / JobEvent
ProviderCall
Provider contracts
Renderer contracts

Do not introduce:

  • a mobile-only editing domain;
  • a second Timeline model;
  • a second Workflow state machine for the same project flow;
  • a second durable Job Queue;
  • transport-specific project mutation logic;
  • a provider-specific branch inside core domain logic when capability discovery can express the difference.

A lightweight transport such as speech-mcp may avoid constructing the full project runtime, but it should reuse shared provider/runtime contracts instead of cloning implementations.

LLM and edit-state rules

LLM output is proposal data, not authoritative project state.

The expected direction is:

LLM
→ structured schema
→ validation
→ semantic validation
→ diff
→ apply
→ immutable Version
→ render

Read the full file on GitHub · 227 lines

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. 1mo ago First seen · 227 lines · 1,354 tokens per session scan A 048d925d7339

Subscribe to this mod's changes

video-agent-runtime AGENTS.md is an instructions file published in the GitHub repository YansIlinta/video-agent-runtime (1 stars, last pushed 2mo ago), licensed MIT. It adds 1,354 tokens to every session, about $0.0054 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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