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.
curl -O https://raw.githubusercontent.com/asit-piri/Agentic-Knowledge-To-Action/main/AGENTS.mdgit clone --depth 1 https://github.com/asit-piri/Agentic-Knowledge-To-ActionWrote 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.
[](https://agentmods.dev/instructions/asit-piri/agentic-knowledge-to-action/agents-md)<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="Measured on agentmods" height="20"></a>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 | $0.01650 | $0.01650 |
| Sonnet 5 | $0.00660 | $0.00660 |
| Haiku 4.5 | $0.00330 | $0.00330 |
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 6d 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.
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 workflowsplugins/AGENTS.md- Plugin framework and developmentcharts/AGENTS.md- Helm chart operationsdocs/AGENTS.md- Documentation authoringmcp-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)
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.
- 6d ago First seen · 316 lines · 3,301 tokens per session scan A 55ab58e64f33
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 6mo ago), licensed Apache-2.0. It adds 3,301 tokens to every session, about $0.0165 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 2026-08-31.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.