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 oyi77/1ai-skills --skill detecting-exfiltration-over-dns-with-zeekgit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/detecting-exfiltration-over-dns-with-zeek)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/detecting-exfiltration-over-dns-with-zeek"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/detecting-exfiltration-over-dns-with-zeek/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/oyi77/1ai-skills/detecting-exfiltration-over-dns-with-zeek"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/detecting-exfiltration-over-dns-with-zeek.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.01257 |
| Opus 5.5 | $0.00024 | $0.00503 |
| Sonnet 5.5 | $0.00012 | $0.00251 |
| Haiku 4.5 | $0.00006 | $0.00126 |
Grade A, and why
detecting-exfiltration-over-dns-with-zeek 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 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.
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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Detecting Exfiltration over DNS with Zeek
Overview
DNS tunneling and exfiltration is a technique used by attackers to bypass firewalls and DLP controls by encoding stolen data into DNS query subdomains. Legitimate DNS queries have predictable entropy and length patterns, while exfiltration queries contain encoded data with high Shannon entropy, unusually long subdomain labels, and high volumes of unique subdomains per parent domain.
This skill analyzes Zeek dns.log files (TSV format) to detect exfiltration indicators. The agent computes Shannon entropy for each subdomain component, identifies queries exceeding the 63-character DNS label limit, counts unique subdomains per parent domain, and flags domains that exceed configurable thresholds. These techniques detect tools like dnscat2, iodine, dns2tcp, and custom DNS tunneling implementations.
When to Use
Trigger phrases:
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"detecting exfiltration over dns with zeek"
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"Detect DNS-based data exfiltration by analyzing Zeek dns"
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When investigating security incidents that require detecting exfiltration over dns with zeek
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When building detection rules or threat hunting queries for this domain
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When SOC analysts need structured procedures for this analysis type
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When validating security monitoring coverage for related attack techniques
When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
Prerequisites
- Python 3.9 or later with math and collections modules (stdlib)
- Zeek dns.log files in TSV format with standard field headers
- Network capture data processed by Zeek 5.0+ or later
- Understanding of DNS protocol structure and query types
Steps
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Parse Zeek dns.log headers: Read the TSV file, extract the
#fieldsheader line to identify column positions forts,id.orig_h,query,qtype_name,rcode_name, andanswers. -
Extract and decompose queries: For each DNS query, split the FQDN into subdomain labels and parent domain. Skip queries to known safe domains and internal zones.
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 · 130 lines · 59 tokens per session scan A d4fcf2b5672d
detecting-exfiltration-over-dns-with-zeek is a skill published in the GitHub repository oyi77/1ai-skills (17 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 1,257 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-04.
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