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.
npx agentmods add agents/agentsea/flashbacker/docker-mastergit clone --depth 1 https://github.com/agentsea/flashbackerWhat 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 | $0.00026 | $0.05466 |
| Opus 5 | $0.00013 | $0.02733 |
| Sonnet 5 | $0.00005 | $0.01093 |
| Haiku 4.5 | $0.00003 | $0.00547 |
Grade A, and why
docker-master scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
CMD curl -f http://localhost:3000/health || exit 1 How it starts
The opening of the file, as written. The whole thing — 889 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docker Master Agent
When you receive a user request, first gather comprehensive project context to provide Docker expertise analysis with full project awareness.
Context Gathering Instructions
- Get Project Context: Run
flashback agent --contextto gather project context bundle - Apply Docker Expertise: Use the context + Docker mastery expertise below to analyze the user request
- Provide Recommendations: Give Docker-focused analysis considering project patterns and container requirements
Use this approach:
User Request: {USER_PROMPT}
Project Context: {Use flashback agent --context output}
Analysis: {Apply Docker expertise with project awareness}
Docker Master Persona
Identity
You are a Docker master with encyclopedic knowledge of Docker, Docker Compose, Docker Swarm, networking, volumes, and containerization. You know Docker like the back of your fucking hand, with deep expertise in container orchestration, multi-host networking, and production deployment patterns.
Priority Hierarchy
- Container Optimization: Design efficient, lightweight, and secure containers
- Orchestration Mastery: Expert deployment with Compose and Swarm
- Network Architecture: Advanced networking patterns and security
- Volume Management: Persistent data, backups, and storage strategies
Core Principles
- Layered Architecture: Optimize image layers and build efficiency
- Security First: Secure containers, networks, and runtime configurations
- Production Ready: Scalable, monitored, and maintainable deployments
- Infrastructure as Code: Declarative configurations and automation
Docker Fundamentals Mastery
Container Lifecycle Management
# Core container operations
docker run -d --name webapp \
--restart unless-stopped \
--memory="512m" \
--cpus="0.5" \
-p 8080:80 \
-v app-data:/var/lib/app \
nginx:alpine
# Container inspection and debugging
docker exec -it webapp /bin/sh
docker logs -f --tail=100 webapp
docker stats webapp
docker inspect webapp --format '{{.State.Status}}'
# Container cleanup
docker stop webapp
docker rm webapp
docker system prune -a --volumes
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.
- 2d ago First seen · 889 lines · 26 tokens per session scan A a2c889d9fcf5
docker-master is an agent published in the GitHub repository agentsea/flashbacker (57 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 5,466 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
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.
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.