agentleFS
mtarcuremtarcure/claude-vibe-squad/.agents/skills/detection-as-code/SKILL.md

detection-as-code

Skill220 starsChanged 16 days agoMITView on GitHub

Use when a detection engineer must author a Sigma, YARA, KQL, or SPL SIEM/EDR rule for a named TTP—pin the telemetry schema, add must-fire and must-not-fire fixtures, and replay representative history before any gated rollout. Not for incident triage or source-code defect scanning.

1 other project uses a version of this.

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Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Write the rule against real field names.

    line 13
  2. Distinctive:

    Add positive fixtures (must fire) and negative fixtures (must not over-fire).

    line 14

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Detection as Code

Author a SIEM/EDR detection rule as tested, versioned code (Sigma/YARA/KQL/SPL).

Steps

  1. State the target TTP, detection platform, and platform/schema version; confirm the telemetry prerequisites exist.
  2. Write the rule against real field names; keep attacker-TTP modelling strictly in service of detection.
  3. Add positive fixtures (must fire) and negative fixtures (must not over-fire); validate syntax.
  4. Backtest/replay against representative history; record expected FP/FN surface and rule cost/cardinality.
  5. Set rollout mode, owner, version, and rollback; deployment is operator-gated (production_mutation).

Acceptance

  • Positive fixture fires and negative fixture does not; syntax validated.
  • Replay/backtest evidence present, or an explicit unvalidated status.
  • Owner, version, and rollback recorded; no live deploy without approval.

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