okf-agents: Instructions file for Codex

AGENTS.md

okf-agents AGENTS.md is an instructions file for Codex, OpenCode from RonCodes88/okf-agents. It costs 1,350 tokens per session, scanned A, original, MIT.

Instructions for using okf-agents, a Python library that turns folders of linked Markdown files into tools for AI applications. It explains the library's data format, installation, and public imports.

In plain words
What is it for?
Use it when installing okf-agents, reading Markdown bundles with YAML metadata, building link graphs, or connecting them to LangChain and LangGraph applications.
Why use it?
It helps coding agents use the library's supported interface and avoid incorrect imports or misunderstandings about how its Markdown bundles work.

Instructions file for CodexOpenCode

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

This is RonCodes88/okf-agents's own configuration. It tells Codex and OpenCode how to work on okf-agents 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 okf-agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to RonCodes88/okf-agents. 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/RonCodes88/okf-agents/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/RonCodes88/okf-agents

Made for: Codex, OpenCode.

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Per session 1,350 This file is loaded in full into every session.
When invoked 1,350 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 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 $0.01350 $0.01350
Opus 5.5 $0.00540 $0.00540
Sonnet 5.5 $0.00270 $0.00270
Haiku 4.5 $0.00135 $0.00135

Measured 2mo ago against content hash a0d885ff9d47, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

okf-agents 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 2mo 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 · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — okf-agents

This file is for AI coding agents (Cursor, Claude Code, Codex, Copilot, etc.) that are writing code using the okf-agents library. Follow these instructions exactly.

What this library does

okf-agents connects OKF (Open Knowledge Format) Markdown bundles to LangGraph/LangChain. An OKF bundle is a directory of .md files with YAML frontmatter. This library parses them, builds a link graph, and exposes typed LangChain tools, retrievers, a router, and a navigator subgraph.

Install

pip install okf-agents

Public exports

Everything is importable from the top-level package:

from okf_agents import (
    OKFBundle,
    Concept, ConceptFrontmatter, LinkEdge, BundleIndex, SyncResult,
    create_okf_tools,
    OKFRetriever, OKFGraphRetriever,
    create_okf_router,
    create_okf_navigator,
    sync_bundle_to_vector_store,
    OKFError, BundleNotFoundError, BundleValidationError,
    ConceptNotFoundError, LinkResolutionError,  # LinkResolutionError is deprecated, never raised
)

Do NOT import from submodules like okf_agents.bundle or okf_agents.models. Always import from okf_agents.

create_okf_tools, create_okf_router, create_okf_navigator, OKFRetriever, and OKFGraphRetriever all validate their bundle argument eagerly and raise immediately (TypeError, or pydantic.ValidationError for the two retrievers) if it is not an OKFBundle — they never wait until first use to fail.

Patterns

Pattern 1: Load a bundle

from okf_agents import OKFBundle

bundle = OKFBundle.load("path/to/bundle")
concept = bundle.get("concepts/orders")
results = bundle.search("customer", top_k=5)

OKFBundle.load() takes a str | Path. It eagerly parses all .md files on init. The bundle is immutable after loading.

Pattern 2: Create agent tools

from okf_agents import OKFBundle, create_okf_tools

bundle = OKFBundle.load("path/to/bundle")
tools = create_okf_tools(bundle)
# Returns 4 tools: read_concept, search_concepts, list_links, read_index
# Pass `tools` to any LangChain/LangGraph tool-calling agent.

Read the full file on GitHub · 167 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. 2mo ago First seen · 167 lines · 1,350 tokens per session scan A a0d885ff9d47

Subscribe to this mod's changes

okf-agents AGENTS.md is an instructions file published in the GitHub repository RonCodes88/okf-agents (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,350 tokens to every session, about $0.0054 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 2026-08-31.

Related

okf-agents AGENTS.md compared with instructions from other repositories

okf-agents AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
okf-agents AGENTS.mdRonCodes88/okf-agentsInstructions file53mo agoMITA1,350Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149ktodayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file275k2d agoMITA4,313Codex, OpenCode