knowledge-graph: Instructions file for Codex

AGENTS.md

knowledge-graph AGENTS.md is an instructions file for Codex, OpenCode from hilyfux/knowledge-graph. It costs 371 tokens per session, scanned A, original, MIT.

Project instructions for the Knowledge Graph memory layer, including its source files, validation commands, runtime data rules, and guidance for storing durable knowledge.

In plain words
What is it for?
Use them before changing the project, especially when editing the installer, shell scripts, memory skills, or MCP server. They also describe how to inspect the knowledge graph first.
Why use it?
They tell the coding agent how to work safely in this repository and which files are authoritative when instructions overlap.

Instructions file for CodexOpenCode

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

This is hilyfux/knowledge-graph's own configuration. It tells Codex and OpenCode how to work on knowledge-graph 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 knowledge-graph configures →

Reuse

Borrowing it

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

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 knowledge-graph AGENTS.md

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

Your own site · 80×15
<a href="https://agentmods.dev/instructions/hilyfux/knowledge-graph/agents-md"><img src="https://agentmods.dev/badge/instructions/hilyfux/knowledge-graph/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 371 This file is loaded in full into every session.
When invoked 371 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 $0.00371 $0.00371
Opus 5.5 $0.00148 $0.00148
Sonnet 5.5 $0.00074 $0.00074
Haiku 4.5 $0.00037 $0.00037

Measured 2mo ago against content hash f3a656b3a0fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-graph 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 · 23 lines

What it actually says

Project Instructions

This repository builds Knowledge Graph, a bash + jq memory layer for AI coding agents. Treat standalone/ as the packaged installer/runtime surface and keep skills/knowledge-graph/ in sync when changing shared skill or script behavior.

Knowledge Graph

  • Source of truth for runtime behavior: standalone/skills/knowledge-graph/scripts/.
  • Main validation command: bash tests/test-pipeline.sh.
  • Installer validation: bash -n standalone/install.sh standalone/skills/knowledge-graph/scripts/*.sh and, when available, shellcheck standalone/install.sh standalone/skills/knowledge-graph/scripts/*.sh.
  • Durable knowledge nodes are canonical CLAUDE.md and SKILL.md files. AGENTS.md is only a Codex adapter and must not duplicate module knowledge.
  • Codex/MCP runtime should prefer KG_PROJECT_DIR for non-Claude scripts. Claude Code may still set CLAUDE_PROJECT_DIR.
  • Do not commit .knowledge-graph/ runtime data.

Knowledge Graph

  • Use the bundled MCP server in .mcp.json when available: start with kg_status, then kg_query or kg_read_node before editing unfamiliar modules.
  • Durable module knowledge lives in canonical CLAUDE.md and SKILL.md files. AGENTS.md is only the Codex adapter that tells Codex to read those canonical nodes through MCP.
  • Runtime data lives under .knowledge-graph/ and should stay uncommitted.
  • If running scripts outside Claude Code, set KG_PROJECT_DIR to this project root; Claude Code may set CLAUDE_PROJECT_DIR instead.
  • Before reporting success, include concrete evidence: tests run, files checked, or MCP resources consulted.
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 · 23 lines · 371 tokens per session scan A f3a656b3a0fc

Subscribe to this mod's changes

knowledge-graph AGENTS.md is an instructions file published in the GitHub repository hilyfux/knowledge-graph (21 stars, last pushed 4mo ago), licensed MIT. It adds 371 tokens to every session, about $0.0015 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.

Related

knowledge-graph AGENTS.md compared with instructions from other repositories

knowledge-graph AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
knowledge-graph AGENTS.mdhilyfux/knowledge-graphInstructions file214mo agoMITA371Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode