detecting-beaconing-patterns-with-zeek SKILL.md skillA
detecting-beaconing-patterns-with-zeek from adriannoes/awesome-agentic-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add adriannoes/awesome-agentic-ai/detecting-beaconing-patterns-with-zeek@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- adriannoes/awesome-agentic-ai
- Path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/detecting-beaconing-patterns-with-zeek/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0, committed Jun 25, 2026
- First version recorded
- Jun 11, 2026
- Size
- 2,645 bytes
- Repository stars
- 69
- License
- MIT
'Performs statistical analysis of Zeek conn.log connection intervals.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Detecting Beaconing Patterns with Zeek
## When to Use
- When investigating security incidents that require detecting beaconing patterns with zeek
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
## Prerequisites
- Familiarity with security operations concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
## Instructions
Load Zeek conn.log data using ZAT (Zeek Analysis Tools), group connections by
source/destination pairs, and compute timing statistics to identify beaconing.
```python
from zat.log_to_dataframe import LogToDataFrame
import numpy as np
log_to_df = LogToDataFrame()
conn_df = log_to_df.create_dataframe('/path/to/conn.log')
# Group by src/dst pair and calculate inter-arrival time
for (src, dst), group in conn_df.groupby(['id.orig_h', 'id.resp_h']):
times = group['ts'].sort_values()
intervals = times.diff().dt.total_seconds().dropna()
…Read the whole file at its exact version.
How to install
mdr add adriannoes/awesome-agentic-ai/detecting-beaconing-patterns-with-zeek@sha256:c2cfc331abf1afc8The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_f7cyprdiwksbq4er)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 11, 2026 and Jun 25, 2026, about one every 14 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-06-25 | f69bd81 | 2,645 B | A | view · diff |
| v1.0 | 2026-06-11 | ff4cc7c | 2,514 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2645 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f7cyprdiwksbq4er GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/detecting-beaconing-patterns-with-zeek GET https://markdownregistry.com/api/v1/blob/c2cfc331abf1afc8fc76a1ce0c8c1803cf78900909ec035f7aa88748ba35ab49
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.