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.
npx agentmods add agents/muratcankoylan/agent-skills-for-context-engineering/indexgit clone --depth 1 https://github.com/muratcankoylan/Agent-Skills-for-Context-EngineeringWhat 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 | $0.00000 | $0.00597 |
| Opus 5 | $0.00000 | $0.00298 |
| Sonnet 5 | $0.00000 | $0.00119 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
index 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.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents Index
Agents are reusable AI components with defined capabilities, tools, and instructions.
Available Agents
Evaluator Agent
Path: agents/evaluator-agent/evaluator-agent.md
Purpose: Assess the quality of LLM-generated responses
Capabilities:
- Direct scoring against rubrics
- Pairwise comparison of responses
- Criteria extraction from task descriptions
- Rubric generation for evaluation
Tools Used:
directScorepairwiseCompareextractCriteriagenerateRubric
Best For:
- Quality gates in content pipelines
- Model comparison studies
- RLHF preference data generation
- Output validation before delivery
Research Agent
Path: agents/research-agent/research-agent.md
Purpose: Gather, verify, and synthesize information from multiple sources
Capabilities:
- Web search and result analysis
- URL content extraction
- Claim extraction and verification
- Research synthesis
Tools Used:
webSearchreadUrlextractClaimsverifyClaimsynthesize
Best For:
- Knowledge base building
- Fact checking
- Market research
- Technical documentation
Orchestrator Agent
Path: agents/orchestrator-agent/orchestrator-agent.md
Purpose: Coordinate multi-agent workflows for complex tasks
Capabilities:
- Task decomposition and assignment
- Parallel task execution
- Result synthesis
- Error handling and recovery
Tools Used:
delegateToAgentparallelExecutionwaitForCompletionsynthesizeResultshandleError
Best For:
- Complex multi-step tasks
- Cross-capability workflows
- Quality-assured pipelines
- Long-running operations
Agent Interaction Patterns
Sequential Pipeline
Input → Agent A → Agent B → Agent C → Output
Use when each step depends on the previous.
Parallel Fan-Out
┌→ Agent A ─┐
Input ──┼→ Agent B ──┼→ Synthesis → Output
└→ Agent C ─┘
Use for independent subtasks that can run concurrently.
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 · 115 lines · 0 tokens per session scan A 8c85022761a0
index is an agent published in the GitHub repository muratcankoylan/Agent-Skills-for-Context-Engineering (17,868 stars, last pushed 13d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 597 tokens. 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.