Borrowing it
Nothing to install: this file belongs to navendubrajesh/context-management-for-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.
curl -O https://raw.githubusercontent.com/navendubrajesh/context-management-for-agents/main/AGENTS.mdgit clone --depth 1 https://github.com/navendubrajesh/context-management-for-agentsWrote 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/navendubrajesh/context-management-for-agents/agents-md)<a href="https://agentmods.dev/instructions/navendubrajesh/context-management-for-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/navendubrajesh/context-management-for-agents/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.
<a href="https://agentmods.dev/instructions/navendubrajesh/context-management-for-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/navendubrajesh/context-management-for-agents/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01567 | $0.01567 |
| Opus 5 | $0.00783 | $0.00783 |
| Sonnet 5 | $0.00313 | $0.00313 |
| Haiku 4.5 | $0.00157 | $0.00157 |
Grade A, and why
context-management-for-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 12d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI coding agents (GitHub Copilot, Cursor, Amazon Kiro, Google Antigravity, Amazon Q Developer, and other AGENTS.md-conformant tools) when working with code in this repository.
Project Overview
Context Management for Agents: an open collection of 28 Agent Skills teaching context engineering and harness engineering for production AI agent systems. 13 skills are platform-agnostic; 15 platform skills cover five agentic coding tools (3 skills each for Copilot, Cursor, Kiro, Antigravity, and Amazon Q Developer).
Context engineering is the discipline of curating everything that enters a model's context window (system prompts, tool definitions, retrieved documents, message history, tool outputs) to maximize signal within limited attention budget.
Repository Structure
skills/— 28 skill directories, each withSKILL.md(YAML frontmatter:name,description) and optionalreferences/examples/— 5 demonstration projectsresearcher/— File-based research OS: rubrics, mechanism registry, claim provenance, corpus index, benchmarks, validation scriptstemplate/SKILL.md— Canonical skill templateSKILL.md(root) — Collection-level skill map.plugin/plugin.json— Open Plugins manifestbin/cli.js— Multi-platform installer (--platform copilot|cursor|kiro|antigravity|amazonq|claude)
Skill stacks (co-installation)
This repository provides context engineering knowledge skills. Workflow harnesses (e.g. GStack with /ship, /qa, /review) are complementary — install both with separate namespaces:
| Stack | Purpose | Typical install path (Cursor) |
|---|---|---|
| GStack | Build, test, ship, browser QA | .cursor/skills/gstack/ |
| Context engineering (this repo) | Context window discipline | .cursor/skills/context-engineering/ |
Rules:
- Read one matching
SKILL.mdon activation; never load all skills up front. - When a GStack workflow skill is active, follow its procedure; use context skills for what to keep, compress, or mask.
- Install:
npx context-management-for-agents --platform cursor --setup(namespaced + discovery symlinks).
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.
- 12d ago First seen · 114 lines · 1,567 tokens per session scan A 0b2accd37e68
context-management-for-agents AGENTS.md is an instructions file published in the GitHub repository navendubrajesh/context-management-for-agents (2 stars, last pushed 2mo ago), licensed MIT. It adds 1,567 tokens to every session, about $0.0078 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
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.
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.
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).
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).