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 skills/tedivm/robs_awesome_python_template/docker-composenpx skills add tedivm/robs_awesome_python_template --skill docker-composegit clone --depth 1 https://github.com/tedivm/robs_awesome_python_templateWhat 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 | $0.00039 | $0.00796 |
| Opus 5 | $0.00019 | $0.00398 |
| Sonnet 5 | $0.00008 | $0.00159 |
| Haiku 4.5 | $0.00004 | $0.00080 |
Grade A, and why
docker-compose 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 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.
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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docker Compose Development Environment
context7: If the
mcp_context7tool is available, resolve and load the full Docker Compose documentation before modifyingcompose.yamlor using advanced CLI options:mcp_context7_resolve-library-id: "docker compose" mcp_context7_get-library-docs: /docker/compose
The development environment runs entirely through Docker Compose. All services are defined in compose.yaml.
Services
{%- if cookiecutter.include_fastapi == "y" %}
| www | FastAPI application server |
{%- endif %}
{%- if cookiecutter.include_celery == "y" %}
| celery-scheduler | Celery Beat scheduler for periodic tasks |
| celery-node | Celery worker for background tasks |
{%- endif %}
{%- if cookiecutter.include_quasiqueue == "y" %}
| qq | QuasiQueue multiprocessing runner |
{%- endif %}
{%- if cookiecutter.include_sqlalchemy == "y" %}
| db | PostgreSQL database |
{%- endif %}
{%- if cookiecutter.include_celery == "y" or cookiecutter.include_aiocache == "y" %}
| redis | Redis cache / task broker |
{%- endif %}
Essential Commands
Start / Stop
# Start all services in the background
docker compose up -d
# Start with live rebuild on file changes
docker compose up --watch
# Stop all services (preserves volumes — data is retained)
docker compose down
# Stop all services AND remove volumes (full reset — destroys all data)
docker compose down --volumes --remove-orphans
# Restart all services without destroying containers or volumes
docker compose restart
# Restart a single service
docker compose restart www
Logs
# View recent logs from all services
docker compose logs
# Follow (tail) logs from all services in real-time
docker compose logs -f
# Follow logs from a specific service
docker compose logs -f www
Status and Inspection
# List running services and their status
docker compose ps
# Open a bash shell inside a running service
docker compose exec www bash
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 · 135 lines · 39 tokens per session scan A 3a75cef74f99
docker-compose is a skill published in the GitHub repository tedivm/robs_awesome_python_template (309 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 796 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
Other skills, from other repositories
verify
Verify a Txtify change end-to-end. Use before committing any nontrivial change, when asked to "verify", "test this", or "make sure nothing breaks", and always after touching the worker/transcription path, dependencies, or the Dockerfile.
cortex-deploy
Cortex deployment — Docker Compose, envcheck.sh, CORTEX env vars, EC2/rsync, logs. Use for production setup, container config, or server debugging.
容器任务流程
容器任务的创建与管理流程指南,L1 创建/管理容器任务时加载。涵盖容器创建、workspace 决策、进度触发器、方案不可变原则、失败处理与工作空间规则、容器管理规则。.
deep-research
深度研究编排方法论:澄清范围、拆解规划、并行调度子智能体调研、对抗式核验、综合成带引用的结构化报告。当任务需要多来源、可追溯、需事实核查的深度研究时使用此技能。.
mysql reporter
生成 MySQL 查询报表并生成可视化图表。当用户需要查询 MySQL 数据库并以报表形式展示结果时使用此技能,包括:统计销售数据、分析用户行为、生成业务报表、查询业务指标等。.
knowledge-base
使用 Yuxi 知识库进行检索、打开文档、文档内定位和查看思维导图。当用户需要基于已配置知识库回答问题、核验资料或引用文档内容时使用此技能。.