Agent Skills for Context Engineering is a collection of reusable instructions that teach AI agents how to manage their context, coordinate multi-agent systems, and evaluate behavior. Developers use it when building or debugging production agent systems, and the catalogue entries are skills, agents, instructions, and a plugin from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
/plugin marketplace add muratcankoylan/Agent-Skills-for-Context-Engineeringnpx agentmods add plugins/muratcankoylan/agent-skills-for-context-engineering/context-engineeringgit clone --depth 1 https://github.com/muratcankoylan/Agent-Skills-for-Context-EngineeringWrote 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/plugins/muratcankoylan/agent-skills-for-context-engineering/context-engineering)<a href="https://agentmods.dev/plugins/muratcankoylan/agent-skills-for-context-engineering/context-engineering"><img src="https://agentmods.dev/badge/plugins/muratcankoylan/agent-skills-for-context-engineering/context-engineering.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
context-engineering 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 yesterday.
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.
What it actually says
{
"name": "context-engineering",
"description": "Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).",
"source": "./",
"strict": false,
"skills": [
"./skills/context-fundamentals",
"./skills/context-degradation",
"./skills/context-compression",
"./skills/context-optimization",
"./skills/multi-agent-patterns",
"./skills/long-horizon-prompting",
"./skills/memory-systems",
"./skills/tool-design",
"./skills/filesystem-context",
"./skills/hosted-agents",
"./skills/evaluation",
"./skills/advanced-evaluation",
"./skills/harness-engineering",
"./skills/project-development",
"./skills/bdi-mental-states",
"./skills/latent-briefing",
"./skills/self-improvement-loops"
]
}What it installs
The manifest is a name and a version. 17 skills travel with it, and installing the plugin installs all of them — 1,246 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill long-horizon-prompting A 154 tokens
- Skill self-improvement-loops A 145 tokens
- Skill advanced-evaluation A 44 tokens
- Skill bdi-mental-states A 53 tokens
- Skill context-compression A 47 tokens
- Skill context-degradation A 45 tokens
- Skill context-fundamentals A 125 tokens
- Skill context-optimization A 47 tokens
- Skill evaluation A 40 tokens
- Skill filesystem-context A 49 tokens
- Skill hosted-agents A 46 tokens
- Skill memory-systems A 68 tokens
- Skill multi-agent-patterns A 42 tokens
- Skill project-development A 111 tokens
- Skill tool-design A 109 tokens
- Skill latent-briefing A 74 tokens
- Skill harness-engineering A 47 tokens
What ships with it
1 file beside marketplace.json#context-engineering in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 25 lines scan A 1d71c2419370
context-engineering is a plugin published in the GitHub repository muratcankoylan/Agent-Skills-for-Context-Engineering (17,919 stars, last pushed 16d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-03.
Other plugins, from other repositories
magic-words
Finds the named technique your problem needs and folds its phrasing into the request before the work starts. Hundreds of named techniques, ranked locally, no network.
promptkitty
Assemble PromptKit prompts and author provider-native agent instructions.
prompt-engineering-skills
아이디어를 실행 가능한 프롬프트로 정리해주는 도구 — /prompt v3.3.0 + 모델별 최적화 전략(Claude/GPT/Gemini/이미지) 스킬 + 공냥 프롬프트 킷 v4 동봉(이미지 정본).
prompt-engineering-expert
Designing effective prompts: structure, few-shot, chain-of-thought, output formatting, and evaluation.
prompthub
Publish and manage PromptHub prompts from Claude Code; organize a prompt before uploading.
promptAnalysis-plugin
一个用于从项目中提取提示词,并根据提示词及关联代码分析项目实现的工具。.