secops-detection-engineering

secops-detection-engineering is a skill for Claude Code, Codex from TracecatHQ/tracecat. It costs 129 tokens per session (4,358 once invoked), scanned A, original, AGPL-3.0.

A Google SecOps detection-engineering guide helps create, check, test, and deploy YARA-L 2.0 detection rules. YARA-L is a rule language for finding patterns and behaviours in security event data.

In plain words
What is it for?
Use it to write or tune YARA-L rules, test them against past telemetry, and assess coverage against threat intelligence.
Why use it?
It supports the full path from writing a rule to checking its syntax, testing its logic, and identifying gaps in detection coverage.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to write or tune YARA-L rules, test them against past telemetry, and assess coverage against threat intelligence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tracecathq/tracecat/secops-detection-engineering
About the project

Tracecat is an open-source security automation platform where teams and AI agents build agents, workflows, cases, tables, and integrations. Security teams use it to automate operational work, either through its managed service or by self-hosting. The catalogue entries provide skills, commands, instructions, and settings for working with Tracecat.

TracecatHQ/tracecat · 3,835 stars · on GitHub · tracecat.com

Install

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.

Any agent
npx skills add TracecatHQ/tracecat --skill secops-detection-engineering
Clone the repo
git clone --depth 1 https://github.com/TracecatHQ/tracecat

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for secops-detection-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/tracecathq/tracecat/secops-detection-engineering/github.svg)](https://agentmods.dev/skills/tracecathq/tracecat/secops-detection-engineering)
Your own site
<a href="https://agentmods.dev/skills/tracecathq/tracecat/secops-detection-engineering"><img src="https://agentmods.dev/badge/skills/tracecathq/tracecat/secops-detection-engineering/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.

agentmods 80×15 button for secops-detection-engineering

Your own site · 80×15
<a href="https://agentmods.dev/skills/tracecathq/tracecat/secops-detection-engineering"><img src="https://agentmods.dev/badge/skills/tracecathq/tracecat/secops-detection-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,358 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00129 $0.04358
Opus 5.5 $0.00052 $0.01743
Sonnet 5.5 $0.00026 $0.00872
Haiku 4.5 $0.00013 $0.00436

Measured 6d ago against content hash c4b19c9c7067, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

secops-detection-engineering 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 6d 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.

tracecat/agent/skill/library/skills/secops-detection-engineering/SKILL.md · 313 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

1 file 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.

Changes

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.

  1. 6d ago First seen · 313 lines · 129 tokens per session scan A c4b19c9c7067

Subscribe to this mod's changes

secops-detection-engineering is a skill published in the GitHub repository TracecatHQ/tracecat (3,835 stars, last pushed today), licensed AGPL-3.0. It adds 129 tokens to every session and 4,358 once invoked, about $0.0005 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 2026-10-10.

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