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 instructions/asterixix/polish-academic-mcp/agentsgit clone --depth 1 https://github.com/asterixix/polish-academic-mcpWrote 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/asterixix/polish-academic-mcp/agents)<a href="https://agentmods.dev/instructions/asterixix/polish-academic-mcp/agents"><img src="https://agentmods.dev/badge/instructions/asterixix/polish-academic-mcp/agents.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 | $0.08330 | $0.08330 |
| Opus 5 | $0.04165 | $0.04165 |
| Sonnet 5 | $0.01666 | $0.01666 |
| Haiku 4.5 | $0.00833 | $0.00833 |
Grade B, and why
polish-academic-mcp agents.instructions.md scanned grade B with 1 finding 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 5d 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
tools: ['*'] This is a copy
100% identical to intelligent-terminal agents.instructions.md — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 998 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Custom Agent File Guidelines
Instructions for creating effective and maintainable custom agent files that provide specialized expertise for specific development tasks in GitHub Copilot.
Project Context
- Target audience: Developers creating custom agents for GitHub Copilot
- File format: Markdown with YAML frontmatter
- File naming convention: lowercase with hyphens (e.g.,
test-specialist.agent.md) - Location:
.github/agents/directory (repository-level) oragents/directory (organization/enterprise-level) - Purpose: Define specialized agents with tailored expertise, tools, and instructions for specific tasks
- Official documentation: https://docs.github.com/en/copilot/how-tos/use-copilot-agents/coding-agent/create-custom-agents
Required Frontmatter
Every agent file must include YAML frontmatter with the following fields:
---
description: 'Brief description of the agent purpose and capabilities'
name: 'Agent Display Name'
tools: ['read', 'edit', 'search']
model: 'Claude Sonnet 4.5'
target: 'vscode'
---
Core Frontmatter Properties
description (REQUIRED)
- Single-quoted string, clearly stating the agent's purpose and domain expertise
- Should be concise (50-150 characters) and actionable
- Example:
'Focuses on test coverage, quality, and testing best practices'
name (OPTIONAL)
- Display name for the agent in the UI
- If omitted, defaults to filename (without
.mdor.agent.md) - Use title case and be descriptive
- Example:
'Testing Specialist'
tools (OPTIONAL)
- List of tool names or aliases the agent can use
- Supports comma-separated string or YAML array format
- If omitted, agent has access to all available tools
- See "Tool Configuration" section below for details
model (STRONGLY RECOMMENDED)
- Specifies which AI model the agent should use
- Supported in VS Code, JetBrains IDEs, Eclipse, and Xcode
- Example:
'Claude Sonnet 4.5','gpt-4','gpt-4o' - Choose based on agent complexity and required capabilities
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.
- 5d ago First seen · 998 lines · 8,330 tokens per session scan B 05ca77656669
polish-academic-mcp agents.instructions.md is an instructions file published in the GitHub repository asterixix/polish-academic-mcp (4 stars, last pushed 1mo ago), licensed MIT. It adds 8,330 tokens to every session, about $0.0417 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). It is 100% identical to intelligent-terminal agents.instructions.md, differing in 4 lines, and is treated as a copy.
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