Borrowing it
Nothing to install: this file belongs to mamertofabian/maid-runner-mcp. 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/mamertofabian/maid-runner-mcp/main/.claude/agents/README.mdgit clone --depth 1 https://github.com/mamertofabian/maid-runner-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/agents/mamertofabian/maid-runner-mcp/readme)<a href="https://agentmods.dev/agents/mamertofabian/maid-runner-mcp/readme"><img src="https://agentmods.dev/badge/agents/mamertofabian/maid-runner-mcp/readme/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/agents/mamertofabian/maid-runner-mcp/readme"><img src="https://agentmods.dev/badge/agents/mamertofabian/maid-runner-mcp/readme.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 | $0.00000 | $0.00649 |
| Opus 5 | $0.00000 | $0.00324 |
| Sonnet 5 | $0.00000 | $0.00130 |
| Haiku 4.5 | $0.00000 | $0.00065 |
Grade A, and why
README 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MAID Subagents
This directory contains specialized subagents for the MAID (Manifest-driven AI Development) workflow. These agents handle specific phases of the MAID development process.
Available Agents
1. maid-manifest-architect
Phase: 1 - Goal Definition and Manifest Creation Purpose: Creates and validates MAID manifests following v1.2 specifications Invocation: Use when creating new task manifests or refining requirements
2. maid-test-designer
Phase: 2 - Behavioral Test Creation Purpose: Creates comprehensive behavioral tests from manifests Invocation: Use after manifest validation to create tests that exercise all declared artifacts
3. maid-developer
Phase: 3 - Implementation Purpose: Implements code to make behavioral tests pass while maintaining manifest compliance Invocation: Use after tests are created to implement the solution
4. maid-refactorer
Phase: 3.5 - Code Quality Refactoring Purpose: Improves code quality, maintainability, and performance while preserving manifest compliance Invocation: Use after implementation passes all tests to enhance code quality
5. maid-auditor
Phase: Cross-cutting - Compliance Enforcement Purpose: Enforces strict MAID methodology compliance, catches violations and shortcuts across all phases Invocation: Use after each phase or as final gate to ensure no compromises in methodology
Usage
These agents will be automatically invoked by Claude Code when appropriate based on their descriptions. You can also explicitly request them:
# Examples of explicit invocation:
> Use the maid-manifest-architect agent to create a manifest for adding feature X
> Have the maid-test-designer create tests for task-005
> Get the maid-developer to implement the code for task-005
> Use the maid-refactorer to improve code quality for task-005
> Run the maid-auditor to check for MAID compliance violations
Workflow
The typical MAID workflow using these agents:
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.
- 8d ago First seen · 66 lines · 0 tokens per session scan A 511266275da2
README is an agent published in the GitHub repository mamertofabian/maid-runner-mcp (0 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 649 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 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
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.
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.
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.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.