Guiding development tasks that involve planning, code changes, research, tests, commits, and security analysis.

They keep coding work organized and require attention to threats such as unauthorized access, unsafe inputs, and leaked secrets.

How CalebGerman/mcp-taskflow configures GitHub Copilot

Q: What is mcp-taskflow copilot-instructions.md?

Repository instructions for TaskFlow MCP, a server that gives AI agents structured planning, execution tracking, and research workflows. They also define preferred tools, testing, commits, and security checks.

Reuse

Borrowing it

Nothing to install: this file belongs to CalebGerman/mcp-taskflow. 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/CalebGerman/mcp-taskflow/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/CalebGerman/mcp-taskflow

Made for: GitHub Copilot.

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/calebgerman/mcp-taskflow/copilot-instructions/github.svg)](https://agentmods.dev/instructions/calebgerman/mcp-taskflow/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/calebgerman/mcp-taskflow/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/calebgerman/mcp-taskflow/copilot-instructions/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/calebgerman/mcp-taskflow/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/calebgerman/mcp-taskflow/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 793 This file is loaded in full into every session.

When invoked 793 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	$0.00793	$0.00793
Opus 5.5	$0.00317	$0.00317
Sonnet 5.5	$0.00159	$0.00159
Haiku 4.5	$0.00079	$0.00079

Measured 2mo ago against content hash dd82b61eaee2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp-taskflow copilot-instructions.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.

.github/copilot-instructions.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TaskFlow MCP - AI Coding Agent Guide

Project Overview

TaskFlow MCP is a Model Context Protocol (MCP) server built with Node.js and TypeScript. It provides structured planning, execution tracking, and research workflows for AI agents via MCP tools.

MCP Tool Preferences

Primary code navigation & edits: Serena MCP tools.
Planning & task workflows: TaskFlow MCP tools.
Research: Playwright MCP tools (preferred).

Required workflow

Always use TaskFlow MCP tools for planning and task workflows.
If tests exist for the change, run them and include results in verification criteria.
Commit after finishing every task.

Security-First Operating Mode

Security is non-negotiable. Prioritize secure-by-design solutions over functionality, performance, or speed. Before making changes, perform a brief security analysis:

Threat model: trust boundaries, data flows, threat actors (STRIDE).
Security requirements: authn/authz, input validation, encryption needs.
Attack vectors: injection, broken auth, access control, SSRF, deserialization, secrets exposure.

OWASP-Aligned Expectations (Condensed)

Validate all inputs (allowlist, server-side).
Enforce access control for every operation; prevent IDOR.
Protect data (TLS 1.2+, no secrets in code or logs).
Handle errors securely (generic user errors, detailed logs only).
Use vetted security libraries; never roll your own crypto.

Verification Checklist (Required)

Security tests for negative cases (validation, authz).
No hardcoded secrets or sensitive data in logs.
Build/tests pass; no security warnings.

Avoid using ref-based research tools in this repo.

Architecture & Structure

Layered Design

Config (src/config/) → Data (src/data/) → Tools (src/tools/) → Server (src/server/) → MCP Client
                                  ↓
                          Prompts (src/prompts/)

Config: Workspace and data path resolution (see src/config/pathResolver.ts)
Data: JSON persistence and domain models (see src/data/)
Tools: MCP tool implementations by domain (see src/tools/)
Server: MCP server setup and lifecycle (see src/server/)
Prompts: Markdown templates for tool responses (see src/prompts/)

Read the full file on GitHub · 103 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 · 103 lines · 793 tokens per session scan A dd82b61eaee2

Subscribe to this mod's changes

mcp-taskflow copilot-instructions.md is an instructions file published in the GitHub repository CalebGerman/mcp-taskflow (0 stars, last pushed 8mo ago), licensed MIT. It adds 793 tokens to every session, about $0.0032 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.

Planning Project management

mcp-taskflow copilot-instructions.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
mcp-taskflow copilot-instructions.mdCalebGerman/mcp-taskflow	Instructions file	0	8mo ago	MIT	A	793	GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

mcp-taskflow: Instructions file for GitHub Copilot