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.
curl -O https://raw.githubusercontent.com/omeryemba/mcp-hayabusa/master/.claude/skills/detection-engineering/SKILL.mdgit clone --depth 1 https://github.com/omeryemba/mcp-hayabusaWrote 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/omeryemba/mcp-hayabusa/detection-engineering)<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.
<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>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 | $0.00054 | $0.01474 |
| Opus 5 | $0.00027 | $0.00737 |
| Sonnet 5 | $0.00011 | $0.00295 |
| Haiku 4.5 | $0.00005 | $0.00147 |
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.
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 — 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
-
ATT&CK technique mapping required. Every rule must include at least one
attack.tXXXXtag (e.g.attack.t1059.001), lowercase, in the rule'stags: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. -
Severity must be justified. The
level:field must be one oflow,medium,high,critical— no other values. Every rule must also carry a short justification for why that level was chosen (e.g. in thedescription:field or an inline comment), not just the bare level. "high because X" is required, "high" alone is not sufficient. -
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. -
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
.evtxfixture, or an equivalent documented scenario). A rule with no test case is not done. -
Naming convention. Rule names (the
title:-derived identifier / filename, not necessarily the human-readabletitle:string itself) must be lowercase with underscores — e.g.suspicious_powershell_encoded_command, notSuspiciousPowerShellEncodedCommandorsuspicious-powershell-encoded-command.
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.
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.
- 8d ago First seen · 65 lines · 54 tokens per session scan A 1790eadbdb38
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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