mcp-hayabusa: Skill for Claude Code

.claude/skills/detection-engineering/SKILL.md

detection-engineering is a skill for Claude Code from omeryemba/mcp-hayabusa. It costs 54 tokens per session (1,474 once invoked), scanned A, original, MIT.

A set of project rules for writing and reviewing Sigma detection rules, which are YAML rules used to identify suspicious activity. It covers ATT&CK mapping, severity reasons, false positives, names, and test cases.

In plain words
What is it for?
Use it when creating, editing, or reviewing Sigma rules and other YAML detection files.
Why use it?
It helps keep detection rules consistent and makes missing explanations or testing requirements visible during review.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths.

This is omeryemba/mcp-hayabusa's own configuration. It tells Claude Code how to work on mcp-hayabusa itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mcp-hayabusa configures →

Reuse

Borrowing it

Nothing to install: this file belongs to omeryemba/mcp-hayabusa. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/omeryemba/mcp-hayabusa/master/.claude/skills/detection-engineering/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/omeryemba/mcp-hayabusa

Made for: Claude Code.

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 detection-engineering

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/omeryemba/mcp-hayabusa/detection-engineering"><img src="https://agentmods.dev/badge/skills/omeryemba/mcp-hayabusa/detection-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,474 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 original 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 $0.00054 $0.01474
Opus 5 $0.00027 $0.00737
Sonnet 5 $0.00011 $0.00295
Haiku 4.5 $0.00005 $0.00147

Measured 8d ago against content hash 1790eadbdb38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

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 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/validate-rule-execution.py, scripts/validate-rule.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/detection-engineering/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Detection Engineering Standards

Enforce these standards on every Sigma/detection rule this project writes, reviews, or discusses. Apply them whether authoring a new rule, editing an existing one, or reviewing someone else's — flag any rule that doesn't meet them rather than silently passing it.

Standards checklist

  1. ATT&CK technique mapping required. Every rule must include at least one attack.tXXXX tag (e.g. attack.t1059.001), lowercase, in the rule's tags: field. A rule with no ATT&CK tag is incomplete — do not approve or ship it without one, and don't invent a technique ID that doesn't fit; ask or leave it flagged if the right mapping isn't obvious.

  2. Severity must be justified. The level: field must be one of low, medium, high, critical — no other values. Every rule must also carry a short justification for why that level was chosen (e.g. in the description: field or an inline comment), not just the bare level. "high because X" is required, "high" alone is not sufficient.

  3. False positive conditions must be documented. Every rule must have a falsepositives: field listing realistic conditions that would cause benign activity to match (e.g. specific admin tools, scheduled tasks, software installers). An empty list, Unknown, or omitting the field is not acceptable — if you genuinely can't identify any, that itself is a red flag worth raising rather than silently accepting.

  4. At least one test case is required. Every rule must be accompanied by at least one test case demonstrating it fires on the intended malicious/suspicious behavior (a sample log record, an .evtx fixture, or an equivalent documented scenario). A rule with no test case is not done.

  5. Naming convention. Rule names (the title:-derived identifier / filename, not necessarily the human-readable title: string itself) must be lowercase with underscores — e.g. suspicious_powershell_encoded_command, not SuspiciousPowerShellEncodedCommand or suspicious-powershell-encoded-command.

Read the full file on GitHub · 65 lines

Files

What ships with it

6 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.

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. 8d ago First seen · 65 lines · 54 tokens per session scan A 1790eadbdb38

Subscribe to this mod's changes

detection-engineering is a skill published in the GitHub repository omeryemba/mcp-hayabusa (0 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,474 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

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