auto-vlog-editor AGENTS.md

auto-vlog-editor AGENTS.md is an instructions file for Codex, OpenCode from tstambulsky/auto-vlog-editor. It costs 1,686 tokens per session, scanned A, original, MIT.

A project instruction file for an automated video-editing application. It maps the codebase and records rules and technical details that agents must follow.

In plain words
What is it for?
Use it when modifying the video's processing pipeline, rendering, subtitles, voiceover, publishing integrations, Telegram workflow, deployment, or dashboard.
Why use it?
It helps agents avoid breaking important workflows, such as subtitle timing, video rendering, publishing approval, and the allowed Claude CLI entry point.

Instructions file for CodexOpenCode

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

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/tstambulsky/auto-vlog-editor/agents-md
Clone the repo
git clone --depth 1 https://github.com/tstambulsky/auto-vlog-editor

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 auto-vlog-editor AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/tstambulsky/auto-vlog-editor/agents-md.svg)](https://agentmods.dev/instructions/tstambulsky/auto-vlog-editor/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/tstambulsky/auto-vlog-editor/agents-md"><img src="https://agentmods.dev/badge/instructions/tstambulsky/auto-vlog-editor/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,686 This file is loaded in full into every session.
When invoked 1,686 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01686 $0.01686
Opus 5 $0.00843 $0.00843
Sonnet 5 $0.00337 $0.00337
Haiku 4.5 $0.00169 $0.00169

Measured 6d ago against content hash 9508e4fb69d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

auto-vlog-editor 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 6d 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 · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — working in this codebase

Operational rules and non-obvious gotchas for anyone (human or AI agent) editing this repo. Architecture and feature explanations live in docs/.

Rule of thumb: info needed to NOT break things → here. Info to understand how it works → docs/.

Knowledge map

Topic Doc
Catalog / index docs/index.md
Pipeline & beat-sync architecture docs/architecture/pipeline.md
Rendering (ffmpeg, HDR, audio, subtitles) docs/architecture/rendering.md
Publishing API (Zernio) docs/integrations/zernio.md
Voiceover (ElevenLabs) docs/integrations/elevenlabs.md
Telegram bot UX & approval flow docs/integrations/telegram.md
Deployment docs/operations/deploy.md
Web dashboard (read-only) docs/operations/dashboard.md
Design decisions docs/product/decisions.md

Hard rules

  • Never publish without approval. Only a day in the approved state can create posts; the single gate is publishing.publish_day(). Don't add publish paths anywhere else.
  • Never call the Claude CLI outside app/claude_cli.py. It's the swappable reasoning layer (CLAUDE_CODE_COMMAND): serialized, schema-validated, read-only tools. Everything that needs the model goes through run_structured.
  • Secrets never go into prompts or git. Real keys live only in .env (which is gitignored). .env.example documents the variables with placeholders.

Critical gotchas

Subtitles/beats: ASR gives TIMING, the script gives TEXT

Word timings (words_v{N}_{lang}.json, which drive BOTH subtitles and beats) come from app/services/align.py: faster-whisper transcribes the mp3, wav2vec2 refines per-word timing. The transcription's TEXT is often mis-heard, so retext_to_script re-maps the timed words onto the KNOWN script (difflib) and emits the script tokens verbatim — the subtitle word TEXT is ALWAYS the script, never the ASR. This runs on every path, including fallbacks (WhisperX align → free-form faster-whisper → char alignment). Don't remove the re-text step or let any path set word text from ASR. torch is CPU-only and lives in the Dockerfile prod stage (the dev image has none → exercises the fallback). See docs/architecture/rendering.md.

Read the full file on GitHub · 119 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. 6d ago First seen · 119 lines · 1,686 tokens per session scan A 9508e4fb69d9

Subscribe to this mod's changes

auto-vlog-editor AGENTS.md is an instructions file published in the GitHub repository tstambulsky/auto-vlog-editor (11 stars, last pushed 2mo ago), licensed MIT. It adds 1,686 tokens to every session, about $0.0084 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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