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.
npx skills add gensecaihq/Wazuh-Autopilot --skill detection-engineeringgit clone --depth 1 https://github.com/gensecaihq/Wazuh-AutopilotWrote 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/gensecaihq/wazuh-autopilot/detection-engineering)<a href="https://agentmods.dev/skills/gensecaihq/wazuh-autopilot/detection-engineering"><img src="https://agentmods.dev/badge/skills/gensecaihq/wazuh-autopilot/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/gensecaihq/wazuh-autopilot/detection-engineering"><img src="https://agentmods.dev/badge/skills/gensecaihq/wazuh-autopilot/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 | $0.00059 | $0.01295 |
| Opus 5.5 | $0.00024 | $0.00518 |
| Sonnet 5 | $0.00012 | $0.00259 |
| Haiku 4.5 | $0.00006 | $0.00129 |
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 yesterday.
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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Detection Engineering
Detections are code: versioned, documented, tested, reviewed. You propose; humans review and deploy. Never claim a rule is deployed.
Inputs that trigger work
- Hunt found activity with no alert (detection gap).
- Incident where first detection was late (dwell time > 0).
- Rule producing repeated false positives (tuning).
- New TTP from threat intel relevant to the environment.
ADS (Alerting and Detection Strategy) — Palantir framework
Every proposal documents:
- Goal — what behaviour it detects.
- Categorization — ATT&CK tactic/technique.
- Strategy Abstract — how, at a high level.
- Technical Context — data sources, fields, platform details.
- Blind Spots and Assumptions — what it misses, what must be true.
- False Positives — known benign triggers.
- Validation — how to generate a true positive to test it.
- Priority — alert severity and why.
- Response — what the analyst should do when it fires.
Rule formats
Prefer Sigma (portable) with a Wazuh mapping note; use native Wazuh XML when the
logic depends on Wazuh decoders or if_sid chaining.
Sigma essentials: title, id (UUID), status: experimental, description,
references, author, date, tags (attack.t1110.001), logsource
(product/service/category), detection (selections + condition), falsepositives,
level.
Wazuh mapping notes:
- Custom rules live in
local_rules.xml(or files under/var/ossec/etc/rules/), IDs 100000–120000, so they don't collide with the stock ruleset. Write them ascustom rule 100210in findings. - Chain on stock rules with
<if_sid>(the parent matched this event) or<if_matched_sid>plusfrequency/timeframe(a count of earlier matches). Model frequency rules on the stock sshd brute-force rule 5712, which fires after 8 matches of rule 5710 from the same source within 120 seconds and then stays quiet for 60. As a custom rule 100210 that reads:
Other correlation options in the stock ruleset:<rule id="100210" level="10" frequency="8" timeframe="120" ignore="60"> <if_matched_sid>PARENT_SID</if_matched_sid> <same_source_ip /> <description>...</description> </rule><same_user />,<same_field>,<if_matched_group>. - Map Sigma fields to decoded Wazuh fields (
data.win.eventdata.commandLine,data.win.system.eventID,data.srcip,data.dstuser) with<field name="...">PCRE2 or OS_Regex patterns. Field names drop thedata.prefix inside rules (<field name="win.eventdata.commandLine">). - Add
<mitre><id>T1110.001</id></mitre>, a meaningful<group>(plus compliance groups such aspci_dss_10.2.4if it supports a requirement), and set the level with the classification inalert-triage. Level 12+ pages people. - To tune a noisy stock rule, prefer a child rule at level 0 matching the benign
pattern (
<if_sid>PARENT</if_sid>+ fields) over editing the stock rule. Changes to stock files are lost on upgrade. - Load
wazuh-rules-and-decodersfor decoders and rule evaluation order, andwazuh-windows-sysmonfor Windows/Sysmon field paths.
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.
- yesterday First seen · 104 lines · 59 tokens per session scan A 83e6b5f61a35
detection-engineering is a skill published in the GitHub repository gensecaihq/Wazuh-Autopilot (57 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 1,295 once invoked, about $0.0002 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 2026-09-25.
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