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 skills add pedrol-cmd/brain-drin --skill drin-docker-image-hardenergit clone --depth 1 https://github.com/pedrol-cmd/brain-drinWrote 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/skills/pedrol-cmd/brain-drin/drin-docker-image-hardener)<a href="https://agentmods.dev/skills/pedrol-cmd/brain-drin/drin-docker-image-hardener"><img src="https://agentmods.dev/badge/skills/pedrol-cmd/brain-drin/drin-docker-image-hardener/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/skills/pedrol-cmd/brain-drin/drin-docker-image-hardener"><img src="https://agentmods.dev/badge/skills/pedrol-cmd/brain-drin/drin-docker-image-hardener.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 | $0.00020 | $0.00178 |
| Opus 5 | $0.00010 | $0.00089 |
| Sonnet 5 | $0.00004 | $0.00036 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
drin-docker-image-hardener 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 7d 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.
What it actually says
Docker Image Hardener
Purpose
To reduce the attack surface and deployment time by creating minimal, secure images.
Checkpoints
- Base Image: Use
alpineordistrolesswhere possible. - Multi-Stage: Build in one stage, copy only artifacts to the final stage.
- Permissions: Run as a non-root user.
- Hardening: Remove unnecessary shells, packages, and ssh keys.
- Layers: Minimize layer count by grouping RUN commands.
Rules
- Never use
sudoinside a container. - Explicitly define the
USERin the Dockerfile. - No secrets in the image layers.
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.
- 7d ago First seen · 23 lines · 20 tokens per session scan A 64f25b83d127
drin-docker-image-hardener is a skill published in the GitHub repository pedrol-cmd/brain-drin (11 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 178 once invoked, about $0.0001 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 2026-09-03.
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