What is pm GEMINI.md?

A set of instructions for using the Gemini command-line tool to analyse a software project. It documents the project-manager-mcp system, including its architecture, technology stack, and main functions.

Use it when analysing project-manager-mcp, its Python backend, web interface, command-line interface, database, or response-aware workflow.

It gives an agent a prepared reference for understanding that project instead of requiring it to rediscover the structure and tools from scratch.

How dtannen/pm configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to dtannen/pm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/dtannen/pm/main/GEMINI.md

Clone the repo

git clone --depth 1 https://github.com/dtannen/pm

Made for: Gemini CLI.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/dtannen/pm/gemini-md/github.svg)](https://agentmods.dev/instructions/dtannen/pm/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/dtannen/pm/gemini-md"><img src="https://agentmods.dev/badge/instructions/dtannen/pm/gemini-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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/dtannen/pm/gemini-md"><img src="https://agentmods.dev/badge/instructions/dtannen/pm/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,838 This file is loaded in full into every session.

When invoked 1,838 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01838	$0.01838
Opus 5.5	$0.00735	$0.00735
Sonnet 5.5	$0.00368	$0.00368
Haiku 4.5	$0.00184	$0.00184

Measured 2mo ago against content hash 6ac991f368d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pm GEMINI.md 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 2mo 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.

GEMINI.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini Project Analysis: project-manager-mcp

This document provides a summary of the project-manager-mcp project, generated by Gemini.

Project Overview

This project is a sophisticated, Python-based project management system designed for AI-driven software development workflows. It is named project-manager-mcp, where "MCP" stands for Model Context Protocol. The system provides a set of tools, including a web interface and a CLI, to manage development tasks, epics, and projects.

A core feature is its "Response Aware" (RA) methodology, which enables Large Language Models (LLMs) to tag parts of their work where they are uncertain. These "RA tags" allow for targeted human validation, improving the reliability of AI-generated code and content.

Technology Stack

Backend:
- Framework: FastAPI
- Runtime: Python 3.9+
- Server: Uvicorn (ASGI)
- Real-time Communication: WebSockets for the Model Context Protocol (MCP).
- Database: SQLite (as indicated in the project description).
- CLI: Click
- Data Validation: Pydantic
Frontend:
- JavaScript: Vanilla JavaScript
- Styling: Standard CSS, organized by component (Kanban, modals, forms).
Tooling:
- Package Management: Hatchling
- Testing: Pytest (with pytest-asyncio, pytest-cov, pytest-benchmark).
- Code Quality: Black, Ruff, and MyPy for formatting, linting, and static type checking.
- Containerization: Docker (Dockerfile, docker-compose.yml).

Architecture

The project is a monorepo with a clear src-layout structure.

src/task_manager/: The core Python application package.
- mcp_server.py: The main FastAPI application, serving the backend API and handling MCP WebSocket connections.
- cli.py: The entry point for the command-line interface, built with Click.
- database.py: Manages the SQLite database connection and data access logic.
- ra_*.py (e.g., ra_tag_utils.py, ra_instructions.py): Modules dedicated to the "Response Aware" (RA) functionality.
- static/: Contains the frontend web application assets, including HTML, CSS, and JavaScript for the UI, which features a Kanban board, planning views, and modals.
test/: A comprehensive test suite with unit and integration tests.
docs/ & ra-docs/: Project and RA-specific documentation.
deploy/: Contains Docker and environment configuration for deployment.
pyproject.toml: The central configuration file defining dependencies, project metadata, and tool settings.

Read the full file on GitHub · 128 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.

2mo ago First seen · 128 lines · 1,838 tokens per session scan A 6ac991f368d8

Subscribe to this mod's changes

pm GEMINI.md is an instructions file published in the GitHub repository dtannen/pm (0 stars, last pushed 1y ago), licensed MIT. It adds 1,838 tokens to every session, about $0.0074 per session on Opus 5.5. 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 2026-08-31.

Research

pm GEMINI.md next to 6 instructions from other repositories
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pm GEMINI.mddtannen/pm	Instructions file	0	1y ago	MIT	A	1,838	Gemini CLI
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vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
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pm: Instructions file for Gemini CLI