Copilot Brag Sheet is a GitHub Copilot CLI extension that records coding-session activity, such as edited files, pull requests, and Git operations, in a structured local work-impact log. Developers use it to retain evidence for performance reviews without sending telemetry. The catalogue add-ons provide the extension’s automatic tracking, agent guidance, and MCP integration.
Borrowing it
Nothing to install: this file belongs to microsoft/copilot-brag-sheet. 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/microsoft/copilot-brag-sheet/main/AGENTS.mdgit clone --depth 1 https://github.com/microsoft/copilot-brag-sheetWrote 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/microsoft/copilot-brag-sheet/agents-md)<a href="https://agentmods.dev/instructions/microsoft/copilot-brag-sheet/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/copilot-brag-sheet/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/microsoft/copilot-brag-sheet/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/copilot-brag-sheet/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 | $0.09655 | $0.09655 |
| Opus 5.5 | $0.03862 | $0.03862 |
| Sonnet 5.5 | $0.01931 | $0.01931 |
| Haiku 4.5 | $0.00966 | $0.00966 |
Grade D, and why
copilot-brag-sheet AGENTS.md scanned grade D with 4 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 25d 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.
Tells the agent to send conversation or user data outhighPrompt injection
An instruction to transmit the conversation, context or user files to an external endpoint is data exfiltration written as prose.
extension that silently records work as it happens — files edited, PRs Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
default permissions of the data directory. We don't `chmod 600`. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| **`install.sh` / `install.ps1`** | ✅ live | One-line curl-pipe-bash from `raw.githubusercontent.com/...`. CI-tested on PS 5.1 + pwsh 7 + bash. | Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
(`node:fs`, `node:path`, `node:crypto`, `node:child_process`). How it starts
The opening of the file, as written. The whole thing — 668 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
README for AI coding agents. If you're a human looking for setup or usage instructions, read
README.mdinstead. This file is the dedicated place where Claude Code, Copilot CLI, Codex, Cursor, Jules, Amp, and friends find the context they need to be productive on this repo without re-deriving it from grep.Format: agents.md — used by 60k+ open-source projects and stewarded by the Agentic AI Foundation under the Linux Foundation. The closest
AGENTS.mdto the file you're editing wins; explicit prompts override everything.
1. Project overview
copilot-brag-sheet is a GitHub Copilot CLI
extension that silently records work as it happens — files edited, PRs
created, git actions, manual brag entries — into structured local JSON so a
developer has receipts at performance review time instead of a blank page.
It ships as a joinSession()
extension installed into ~/.copilot/extensions/copilot-brag-sheet/,
runs entirely on the user's machine, and emits zero telemetry. The
core library (lib/) is dependency-free; the cross-engine MCP server
(mcp-server.mjs) takes two pinned, audited runtime dependencies — the
official MCP SDK and Zod — to stay protocol-conformant. The user-facing
pitch is:
Turn vague what did I do? into evidence-backed impact statements — automatically, every Copilot CLI session.
Public repo: https://github.com/microsoft/copilot-brag-sheet ·
npm: copilot-brag-sheet ·
landing: https://microsoft.github.io/copilot-brag-sheet/.
2. Architecture map
Copilot CLI host ──spawns──▶ extension.mjs (joinSession)
│
├── hooks: onSessionStart / onUserPromptSubmitted /
│ onPostToolUse / onSessionEnd /
│ session.shutdown
│
├── tools: save_to_brag_sheet
│ review_brag_sheet
│ generate_work_log
│
└── delegates to lib/* (pure Node, no SDK coupling)
│
▼
JSON records on disk (atomic writes)
~/AppData/Local/copilot-brag-sheet/ (Windows)
~/Library/Application Support/copilot-brag-sheet/ (macOS)
~/.local/share/copilot-brag-sheet/ (Linux, XDG)
│
▼
optional: git commit/push to private repo
Agency host ──spawns──▶ hooks/post-tool-use.mjs (subprocess per event)
│
├── reads JSON payload from stdin
├── classifies via lib/heuristics.mjs
└── writes JSON response to stdout
(Phase 1: classification only, no persistence)
MCP host ──stdio──▶ mcp-server.mjs (@modelcontextprotocol/sdk)
│
├── tools: save_to_brag_sheet / review_brag_sheet / generate_work_log
└── delegates to lib/operations.mjs
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.
- 25d ago Changed · +2 lines · +82 tokens per session 35f09c54d897
- 1mo ago First seen · 666 lines · 9,573 tokens per session scan D e45a1a282cd2
copilot-brag-sheet AGENTS.md is an instructions file published in the GitHub repository microsoft/copilot-brag-sheet (11 stars, last pushed 3d ago), licensed MIT. It adds 9,655 tokens to every session, about $0.0386 per session on Opus 5.5. A static security scan graded it D with 4 findings (tells the agent to send conversation or user data out, asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.