Borrowing it
Nothing to install: this file belongs to saajunaid/caddis-plugin. 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/saajunaid/caddis-plugin/main/.github/instructions/docker.instructions.mdgit clone --depth 1 https://github.com/saajunaid/caddis-pluginWrote 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/instructions/saajunaid/caddis-plugin/docker)<a href="https://agentmods.dev/instructions/saajunaid/caddis-plugin/docker"><img src="https://agentmods.dev/badge/instructions/saajunaid/caddis-plugin/docker/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/instructions/saajunaid/caddis-plugin/docker"><img src="https://agentmods.dev/badge/instructions/saajunaid/caddis-plugin/docker.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 | $0.03258 | $0.03258 |
| Opus 5.5 | $0.01303 | $0.01303 |
| Sonnet 5.5 | $0.00652 | $0.00652 |
| Haiku 4.5 | $0.00326 | $0.00326 |
Grade C, and why
caddis-plugin docker.instructions.md scanned grade C with 2 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 1mo 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
&& rm -rf /var/lib/apt/lists/* Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl \ How it starts
The opening of the file, as written. The whole thing — 527 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docker & Containerization Instructions
Best practices for creating optimized, secure, and efficient Docker images for applications.
Core Principles
1. Immutability
- Build new images for every change
- Never modify running containers
- Use semantic versioning for image tags
- Avoid
latesttag in production
2. Efficiency
- Minimize image size
- Optimize layer caching
- Use multi-stage builds
- Remove unnecessary dependencies
3. Security
- Run as non-root user
- Scan for vulnerabilities
- Use minimal base images
- Don't store secrets in images
4. Portability
- Design images to run consistently across environments (local, cloud, on-premise)
- Externalize all environment-specific config via environment variables
- Use multi-platform base images when targeting multiple architectures (ARM, x86)
- Include all dependencies explicitly; don't rely on host system packages
5. Isolation
- Run a single primary process per container
- Use container networking for inter-container communication (not host networking)
- Use named volumes for persistent data rather than bind mounts when possible
Dockerfile Template
Python Application (FastAPI)
# ============================================
# Stage 1: Build
# ============================================
FROM python:3.11-slim AS builder
WORKDIR /app
# Install build dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
curl \
&& rm -rf /var/lib/apt/lists/*
# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt
# ============================================
# Stage 2: Production
# ============================================
FROM python:3.11-slim AS production
WORKDIR /app
# Create non-root user
RUN useradd --create-home --shell /bin/bash --uid 1000 appuser
# Copy dependencies from builder
COPY --from=builder /root/.local /home/appuser/.local
# Update PATH for user-installed packages
ENV PATH="/home/appuser/.local/bin:$PATH"
# Copy application code
COPY --chown=appuser:appuser src/ ./src/
COPY --chown=appuser:appuser main.py .
# Switch to non-root user
USER appuser
# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8000/health || exit 1
# Expose port
EXPOSE 8000
# Run application
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
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.
- 1mo ago First seen · 527 lines · 3,258 tokens per session scan C 41b0e9c62e71
caddis-plugin docker.instructions.md is an instructions file published in the GitHub repository saajunaid/caddis-plugin (0 stars, last pushed today), licensed MIT. It adds 3,258 tokens to every session, about $0.0130 per session on Opus 5.5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.