youtuber AGENTS.md

youtuber AGENTS.md is an instructions file for Codex, OpenCode from AgriciDaniel/youtuber. It costs 296 tokens per session, scanned A, original, Apache-2.0.

A set of instructions for a YouTube research agent, including the order of documents it should read, operating limits, and checks for release readiness.

In plain words
What is it for?
Use it to guide source tracking, adapter records, project-file preservation, Obsidian knowledge-base upkeep, and verification commands.
Why use it?
It helps keep the agent evidence-based, read-only, and honest about whether the project is a finished product or only a scaffold.

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/agricidaniel/youtuber/agents-md
Clone the repo
git clone --depth 1 https://github.com/AgriciDaniel/youtuber

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 youtuber AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/agricidaniel/youtuber/agents-md.svg)](https://agentmods.dev/instructions/agricidaniel/youtuber/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/agricidaniel/youtuber/agents-md"><img src="https://agentmods.dev/badge/instructions/agricidaniel/youtuber/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 296 This file is loaded in full into every session.
When invoked 296 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 $0.00296 $0.00296
Opus 5 $0.00148 $0.00148
Sonnet 5 $0.00059 $0.00059
Haiku 4.5 $0.00030 $0.00030

Measured 4d ago against content hash e7486ce9ec26, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

youtuber 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 4d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 38 lines

What it actually says

YouTube Brain Agent Instructions

The canonical agent entrypoint is SKILL.md; this file exists for agent runtimes that load project-level AGENTS.md instructions.

Read Order

  1. SKILL.md
  2. README.md
  3. docs/OPERATOR_KIT.md
  4. docs/PRODUCT_BOUNDARIES.md
  5. references/product-spec.md
  6. references/source-ledger.json
  7. references/adapter-manifest.json

Operating Rules

  • Do not call this brain market-ready unless scripts/audit_brain.py --require market-ready passes.
  • A scaffold is not a finished brain.
  • Domain-specific claims require dated trustworthy sources.
  • Research evidence must be recorded in references/source-ledger.json.
  • Adapter completion must be recorded in references/adapter-manifest.json.
  • Preserve .raw/ as immutable source material.
  • Keep Obsidian wiki/, CODEX.md, dashboards, canvases, frontmatter, wikilinks, graph hygiene, and source citations healthy.
  • V1 is advisory and read-only unless a future release defines approval and rollback for mutations.

Verification

python -m compileall scripts youtube_brain tests
python tests/test_pipeline.py
python scripts/audit_brain.py --json
python scripts/package_release.py --version 0.1.0
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. 4d ago First seen · 38 lines · 296 tokens per session scan A e7486ce9ec26

Subscribe to this mod's changes

youtuber AGENTS.md is an instructions file published in the GitHub repository AgriciDaniel/youtuber (54 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 296 tokens to every session, about $0.0015 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.