agentic-ai-knowledge-base: Instructions file for Codex

AGENTS.md

agentic-ai-knowledge-base AGENTS.md is an instructions file for Codex, OpenCode from ankurkumarz/agentic-ai-knowledge-base. It costs 6,880 tokens per session, scanned A, original, no licence file.

A set of AGENTS.md instructions for an agentic AI knowledge-base repository. AGENTS.md is a file that tells coding agents how to work in a project.

In plain words
What is it for?
Use it when an agent needs to navigate, organize, or ingest content into this knowledge base.
Why use it?
It explains the repository layout, how sections correspond to content, and how new material is added.

Instructions file for CodexOpenCode

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

This is ankurkumarz/agentic-ai-knowledge-base's own configuration. It tells Codex and OpenCode how to work on agentic-ai-knowledge-base 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 agentic-ai-knowledge-base configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ankurkumarz/agentic-ai-knowledge-base. 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/ankurkumarz/agentic-ai-knowledge-base/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ankurkumarz/agentic-ai-knowledge-base

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 agentic-ai-knowledge-base AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ankurkumarz/agentic-ai-knowledge-base/agents-md/github.svg)](https://agentmods.dev/instructions/ankurkumarz/agentic-ai-knowledge-base/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/ankurkumarz/agentic-ai-knowledge-base/agents-md"><img src="https://agentmods.dev/badge/instructions/ankurkumarz/agentic-ai-knowledge-base/agents-md/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 agentic-ai-knowledge-base AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/ankurkumarz/agentic-ai-knowledge-base/agents-md"><img src="https://agentmods.dev/badge/instructions/ankurkumarz/agentic-ai-knowledge-base/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6,880 This file is loaded in full into every session.
When invoked 6,880 The same file — it is already loaded in full.
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 $0.06880 $0.06880
Opus 5.5 $0.02752 $0.02752
Sonnet 5.5 $0.01376 $0.01376
Haiku 4.5 $0.00688 $0.00688

Measured 15d ago against content hash 8d5824c486cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentic-ai-knowledge-base 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 15d 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 · 515 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

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. 15d ago Changed · +11 lines · +274 tokens per session 8d5824c486cf
  2. 2mo ago First seen · 504 lines · 6,606 tokens per session scan A 52b54a946b7c

Subscribe to this mod's changes

agentic-ai-knowledge-base AGENTS.md is an instructions file published in the GitHub repository ankurkumarz/agentic-ai-knowledge-base (68 stars, last pushed 3d ago), with no licence file. It adds 6,880 tokens to every session, about $0.0275 per session on Opus 5.5. 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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