mcp-hayabusa: Skill for Claude Code

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

detection-engineering is a skill for Claude Code from msadigo/mcp-hayabusa. It costs 114 tokens per session (1,337 once invoked), scanned A, original, MIT.

A set of rules for creating and reviewing Sigma detection rules, which are YAML descriptions of suspicious activity. It also applies when checking detection coverage or working in rules and detections folders.

In plain words
What is it for?
Use it to write or review Sigma rules, map them to MITRE ATT&CK techniques, check severity and justifications, and analyze covered or missing detection techniques.
Why use it?
It helps keep detection rules consistent and catches missing standards before they are treated as finished. It also makes coverage gaps easier to identify.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is msadigo/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 msadigo/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/msadigo/mcp-hayabusa/master/.claude/skills/detection-engineering/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/msadigo/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/msadigo/mcp-hayabusa/detection-engineering/github.svg)](https://agentmods.dev/skills/msadigo/mcp-hayabusa/detection-engineering)
Your own site
<a href="https://agentmods.dev/skills/msadigo/mcp-hayabusa/detection-engineering"><img src="https://agentmods.dev/badge/skills/msadigo/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/msadigo/mcp-hayabusa/detection-engineering"><img src="https://agentmods.dev/badge/skills/msadigo/mcp-hayabusa/detection-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,337 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 $0.00114 $0.01337
Opus 5 $0.00057 $0.00668
Sonnet 5 $0.00023 $0.00267
Haiku 4.5 $0.00011 $0.00134

Measured 8d ago against content hash c6b95df541c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 1 executable file (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 · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Detection Engineering Standards

Every Sigma rule authored or reviewed under this skill must satisfy all five standards below. Treat a rule that fails any of them as not done — do not present it as finished, and flag every violation when reviewing someone else's rule.

The five standards

1. ATT&CK technique mapping

The rule's tags: list must include at least one tag in attack.tXXXX (or attack.tXXXX.XXX for a sub-technique) format, e.g. attack.t1003.001. A rule with no technique tag has no place in the ATT&CK-indexed view of the rule set and must be rejected or sent back for mapping.

  • Check: at least one tag matches ^attack\.t\d{4}(\.\d{3})?$ (case-insensitive).
  • If the behavior genuinely doesn't map to a technique, that's a signal the rule may be too broad or mis-scoped — don't tag a placeholder technique just to satisfy the check.

2. Severity with justification

level: must be exactly one of: low, medium, high, critical. No other value (including Sigma's own informational) is acceptable in this project.

  • The rule must also carry a short justification for why that level was chosen — put it in description: (e.g. "high: direct evidence of credential dumping via LSASS access, low benign rate") rather than leaving the level as an unexplained bare enum value.
  • Reject a rule whose description doesn't explain the severity choice, even if the level: field itself is valid.

3. Documented false positive conditions

falsepositives: must be a real, specific list — not empty, not ["Unknown"], not ["None"] used as a lazy default. Each entry should describe a concrete condition or tool that would legitimately trigger the rule (e.g. "Administrative use of PsExec for patch deployment", "Backup software performing volume shadow copy operations").

  • A rule claiming zero false positives needs that claim justified in the description, not just an empty list.

4. At least one test case

Every rule needs at least one accompanying test case demonstrating it fires on real or synthetic matching data. In this repo that means a sample .evtx (or exported record) under sample_evtx/ — or an equivalent fixture — plus a note (in the rule's references: or a sibling test) of what sample log/record it was validated against and what the expected match is.

Read the full file on GitHub · 94 lines

Files

What ships with it

4 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 · 94 lines · 0 tokens per session scan A c6b95df541c2

Subscribe to this mod's changes

detection-engineering is a skill published in the GitHub repository msadigo/mcp-hayabusa (0 stars, last pushed 1mo ago), licensed MIT. It adds 114 tokens to every session and 1,337 once invoked, about $0.0006 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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