Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add bdfinst/agentic-dev-team/plugin install dev-teamWrote 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/bdfinst/agentic-dev-team/docker-image-audit)<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/docker-image-audit"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/docker-image-audit/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/bdfinst/agentic-dev-team/docker-image-audit"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/docker-image-audit.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 | $0.00159 | $0.02231 |
| Opus 5.5 | $0.00064 | $0.00892 |
| Sonnet 5.5 | $0.00032 | $0.00446 |
| Haiku 4.5 | $0.00016 | $0.00223 |
Grade A, and why
docker-image-audit 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| **"God Dockerfile"** | CI/CD baked into the build: SonarQube, Black Duck, Snyk, Helm packaging, `curl` uploads to Nexus/Artifactory, `npm publish`, `git clone`. The Dockerfile should produce a runnable image — everythi How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docker Image Audit
Audit Dockerfiles and container images using three complementary tools — hadolint (static Dockerfile linting), Trivy (CVE scanning), and Grype (second-opinion CVE scanning) — plus manual structural analysis for architectural issues the tools miss. Synthesize all findings into a single severity-ranked report with concrete fixes.
Prerequisites
command -v hadolint && command -v trivy && command -v grype
| Tool | Quick install (macOS) | Purpose |
|---|---|---|
| hadolint | brew install hadolint |
Static Dockerfile analysis |
| trivy | brew install trivy |
Vulnerability scanning |
| grype | brew install grype |
Second-opinion CVE scanning |
If any tool is missing, run /project-init to set up this repo's tooling — it installs hadolint/trivy/grype as capability tools when a Dockerfile is present (see its ${CLAUDE_PLUGIN_ROOT}/skills/project-init/references/capability-tools.md) — or install these Docker tools directly per references/install-guide.md (multi-platform; the install-guide is the fallback). The skill degrades gracefully — hadolint alone covers static analysis; Trivy + Grype require a built image. If no tools are installed, still run the structural analysis (Step 2b). A tool-free audit is better than no audit.
Workflow
Step 1: Identify the Target
- Dockerfile only — hadolint + structural analysis (no built image needed)
- Built image — Trivy + Grype (image must exist locally or in a registry)
- Both — all steps (default when both are available)
If the user points to a Dockerfile but no built image exists, offer to build it or proceed with Dockerfile-only analysis.
Step 2: Hadolint
hadolint --format json Dockerfile
Catches base image issues (:latest tag, unpinned versions), security anti-patterns (ADD vs COPY, running as root), efficiency problems (missing --no-cache, uncleaned apt cache), and shell issues in RUN instructions via integrated ShellCheck. Note: hadolint flags :latest (DL3007) but not other unpinned tags like :10.0 without a digest — call those out in Step 2b (Structural Analysis) if the base image lacks a specific patch version or SHA digest.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 109 lines · 159 tokens per session scan A 1a59ea7b893b
docker-image-audit is a skill published in the GitHub repository bdfinst/agentic-dev-team (295 stars, last pushed 4d ago), licensed MIT. It adds 159 tokens to every session and 2,231 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-03.
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