What is Agentic-Knowledge-To-Action AGENTS.md?

Repository instructions for AI coding assistants working on ContextForge, an open-source gateway that manages connections between agents, tools, and APIs.

Use them when working on ContextForge code, tests, plugins, charts, documentation, or MCP server implementations.

They explain the project layout, setup, commands, and where to find more specific rules, reducing guesswork when changing the codebase.

How asit-piri/Agentic-Knowledge-To-Action configures Codex and OpenCod

Reuse

Borrowing it

Nothing to install: this file belongs to asit-piri/Agentic-Knowledge-To-Action. 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/asit-piri/Agentic-Knowledge-To-Action/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/asit-piri/Agentic-Knowledge-To-Action

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/asit-piri/agentic-knowledge-to-action/agents-md/github.svg)](https://agentmods.dev/instructions/asit-piri/agentic-knowledge-to-action/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/asit-piri/agentic-knowledge-to-action/agents-md"><img src="https://agentmods.dev/badge/instructions/asit-piri/agentic-knowledge-to-action/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/asit-piri/agentic-knowledge-to-action/agents-md"><img src="https://agentmods.dev/badge/instructions/asit-piri/agentic-knowledge-to-action/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 3,301 This file is loaded in full into every session.

When invoked 3,301 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.

Model	Per session	Once invoked
Fable 5.1	$0.03301	$0.03301
Opus 5.5	$0.01320	$0.01320
Sonnet 5.5	$0.00660	$0.00660
Haiku 4.5	$0.00330	$0.00330

Measured 2mo ago against content hash 55ab58e64f33, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Agentic-Knowledge-To-Action 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 · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidelines for AI coding assistants working with this repository.

For domain-specific guidance, see subdirectory AGENTS.md files:

tests/AGENTS.md - Testing conventions and workflows
plugins/AGENTS.md - Plugin framework and development
charts/AGENTS.md - Helm chart operations
docs/AGENTS.md - Documentation authoring
mcp-servers/AGENTS.md - MCP server implementation

Note: The llms/ directory contains guidance for LLMs using ContextForge solution (end-user runtime guidance), not for code agents working on this codebase.

Project Overview

ContextForge is an open source registry and proxy that federates MCP, A2A, and REST/gRPC APIs with centralized governance, discovery, and observability. It federates tools, agents, and APIs, optimizes agent and tool calling, and supports plugins, auth/RBAC, rate-limiting, virtual servers, multi-transport protocols, and an optional Admin UI.

Project Structure

mcpgateway/                 # Core FastAPI application
├── main.py                 # Application entry point
├── config.py               # Environment configuration
├── db.py                   # SQLAlchemy ORM models and session management
├── schemas.py              # Pydantic validation schemas
├── services/               # Business logic layer (50+ services)
├── routers/                # HTTP endpoint definitions (19 routers)
├── middleware/             # Cross-cutting concerns (16 middleware)
├── transports/             # Protocol implementations (SSE, WebSocket, stdio, streamable HTTP)
├── plugins/                # Plugin framework infrastructure
└── alembic/                # Database migrations

tests/                      # Test suite (see tests/AGENTS.md)
plugins/                    # Plugin implementations (see plugins/AGENTS.md)
plugins_rust/               # Rust plugin implementations for performance-sensitive paths
plugin_templates/           # Starter templates for building new plugins
charts/                     # Helm charts (see charts/AGENTS.md)
docs/                       # Architecture and usage documentation (see docs/AGENTS.md)
a2a-agents/                 # A2A agent implementations (used for testing/examples)
mcp-servers/                # MCP server templates (see mcp-servers/AGENTS.md)
tools_rust/                 # Rust utilities (for example stdio wrapper tooling)
llms/                       # End-user LLM guidance (not for code agents)

Read the full file on GitHub · 316 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.

2mo ago First seen · 316 lines · 3,301 tokens per session scan A 55ab58e64f33

Subscribe to this mod's changes

Agentic-Knowledge-To-Action AGENTS.md is an instructions file published in the GitHub repository asit-piri/Agentic-Knowledge-To-Action (0 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 3,301 tokens to every session, about $0.0132 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.

Building agents

Agentic-Knowledge-To-Action AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
Agentic-Knowledge-To-Action AGENTS.mdasit-piri/Agentic-Knowledge-To-Action	Instructions file	0	8mo ago	Apache-2.0	A	3,301	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,516	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	2,022	GitHub Copilot

Agentic-Knowledge-To-Action: Instructions file for Codex