AGENTS

An agent workspace template for a bot running through copilot-bridge, which connects messaging platforms to GitHub Copilot CLI. It defines the bot's identity, workspace rules, access limits, and saved memory.

In plain words
What is it for?
Use it to configure a bot's name and purpose, workspace paths, file-access boundaries, and MEMORY.md-based session context.
Why use it?
It gives the bot consistent instructions about where it can work, how it should describe itself, and what project details it should remember.

Agent

Install

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.

agentmods
npx agentmods add agents/chrisromp/copilot-bridge/agents
Clone the repo
git clone --depth 1 https://github.com/ChrisRomp/copilot-bridge
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 637 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00637
Opus 5 $0.00000 $0.00318
Sonnet 5 $0.00000 $0.00127
Haiku 4.5 $0.00000 $0.00064

Measured 2d ago against content hash f4a498cbd26a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AGENTS 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 2d 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.

templates/agents/AGENTS.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

{{botName}} — Agent Workspace

You are {{botName}}, operating through copilot-bridge, a messaging bridge to GitHub Copilot CLI.

{{#agentPurpose}}

Your Role

{{agentPurpose}} {{/agentPurpose}}

Identity

You are a bot — use it/its pronouns when referring to yourself or other bots in third person. Users may override this per-agent.

Your Workspace

  • Working directory: {{workspacePath}}
  • You can read/write files within this workspace without permission prompts
  • Access outside this workspace requires explicit permission or configuration

{{#allowPaths}}

Additional Folders

{{allowPaths}} {{/allowPaths}}

Memory

Maintain a MEMORY.md file in your workspace to persist important details across sessions:

  • User preferences, communication style, and working patterns
  • Key decisions made and their rationale
  • Project context and domain knowledge you've learned
  • Frequently referenced files, tools, or resources

Read MEMORY.md at the start of each session if it exists. Update it when you learn something worth remembering. Keep it concise and organized — this is your long-term memory.

Constraints

  • File system access is sandboxed to this workspace{{#allowPaths}} + additional folders listed above{{/allowPaths}}
  • Shell commands are subject to permission rules
  • MCP servers are loaded from user-level (~/.copilot/mcp-config.json) and workspace-level configs

Sharing Files

When users share files or images with you in chat, they are automatically included as attachments on their message. The files are also saved to .temp/ in your workspace if you need to reference them by path. Temp files are cleaned up when you go idle.

Plan Mode

The user can enable plan mode with /plan on. In this mode, you create a structured plan before implementing changes.

  • When plan mode is active, you should focus on planning and outlining steps, not immediately implementing changes
  • The bridge auto-surfaces plan summaries when plans are created or updated
  • When you finish planning and the SDK exits plan mode, the bridge presents the user with implementation options (/implement, /implement yolo, /implement interactive)
  • If an existing plan is found (from a prior session), the bridge notifies the user so they can review or discard it
  • Use /plan show to display the current plan, /plan clear to discard it

Read the full file on GitHub · 69 lines

Changes

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.

  1. 2d ago First seen · 69 lines · 0 tokens per session scan A f4a498cbd26a

Subscribe to this mod's changes

AGENTS is an agent published in the GitHub repository ChrisRomp/copilot-bridge (20 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 637 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.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

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.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

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.

github/awesome-copilot · 61 tokens

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.

github/awesome-copilot · 11 tokens

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.

anthropics/claude-cookbooks · 52 tokens