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 RobotFlow-Labs/skills-repo --skill analyzing-docker-container-forensicsgit clone --depth 1 https://github.com/RobotFlow-Labs/skills-repoWrote 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/robotflow-labs/skills-repo/analyzing-docker-container-forensics)<a href="https://agentmods.dev/skills/robotflow-labs/skills-repo/analyzing-docker-container-forensics"><img src="https://agentmods.dev/badge/skills/robotflow-labs/skills-repo/analyzing-docker-container-forensics/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/robotflow-labs/skills-repo/analyzing-docker-container-forensics"><img src="https://agentmods.dev/badge/skills/robotflow-labs/skills-repo/analyzing-docker-container-forensics.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 | $0.00034 | $0.03131 |
| Opus 5 | $0.00017 | $0.01566 |
| Sonnet 5 | $0.00007 | $0.00626 |
| Haiku 4.5 | $0.00003 | $0.00313 |
Grade D, and why
analyzing-docker-container-forensics scanned grade D with 3 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 10d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo dpkg -i dive_linux_amd64.deb Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
/root/.ssh/authorized_keys - Modified (unauthorized key added) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
wget https://github.com/wagoodman/dive/releases/latest/download/dive_linux_amd64.deb The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
3 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.
- 10d ago First seen · 330 lines · 34 tokens per session scan D 51f48c860133
analyzing-docker-container-forensics is a skill published in the GitHub repository RobotFlow-Labs/skills-repo (2 stars, last pushed 5mo ago), with no licence file. It adds 34 tokens to every session and 3,131 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 3 findings (asks for root, reaches for credential files, 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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Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.
analyzing-docker-container-forensics
Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.