severity-scoring SKILL.md skillA
severity-scoring from gensecaihq/wazuh-autopilot is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gensecaihq/wazuh-autopilot/severity-scoring@v1.1Pins v1.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gensecaihq/wazuh-autopilot
- Path
backend/app/skills/severity-scoring/SKILL.md- Versions recorded
- 1
- Latest version
- v1.1, committed Sep 24, 2026
- Size
- 3,837 bytes
- Repository stars
- 63
- License
- MIT
Compute a defensible priority (P1–P4), severity and confidence for a case from rule level, asset criticality, blast radius and ATT&CK tactic; use whenever you set or change case severity.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Severity Scoring Severity must be explainable. Use this formula, then sanity-check it. ## Inputs (each scored 0–10) | Factor | Weight | How to score | |---|---|---| | Rule level (L) | 0.30 | `min(10, rule.level * 10 / 15)` using the highest level in the case (see note below) | | Asset criticality (A) | 0.25 | 10 crown-jewel / domain controller / prod DB; 7 prod server; 4 internal workstation; 2 lab/test | | Tactic weight (T) | 0.20 | see table below, highest tactic present | | Blast radius (B) | 0.15 | 1 host = 2; 2–5 hosts = 5; >5 hosts or domain-wide identity = 9; org-wide = 10 | | Evidence strength (E) | 0.10 | 10 confirmed success (e.g. login after brute force, file dropped); 5 attempt; 2 anomaly only | `score = 0.30L + 0.25A + 0.20T + 0.15B + 0.10E` ### About Wazuh levels Wazuh levels describe the rule, not your environment. Some are misleading in context: - High-level rules can be environmental or operational. For example, rule 204 (agent event queue flooded, level 12) is a pipeline problem, and rule 1003 (oversized syslog message, level 13) is often a misbehaving device. Keep L from the level, but score E low unless there is attacker evidence. …
Read the whole file at its exact version.
How to install
mdr add gensecaihq/wazuh-autopilot/severity-scoring@sha256:5ae1b5860c231640The line at the top of this page pins the label v1.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_5hh4l3z7a2tptr7f)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 24, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3837 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
gensecaihq/wazuh-autopilot · 63 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5hh4l3z7a2tptr7f GET https://markdownregistry.com/api/v1/resolve?ref=gensecaihq/wazuh-autopilot/severity-scoring GET https://markdownregistry.com/api/v1/blob/5ae1b5860c23164063eb639411a167e6893346701a23a30d69ea8eb8c3d9a8e5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.