Skip to content
Back to skills

Author Detection Content

ASecurity

Turn validated security behavior into tested detection content. Use for Sigma, osquery, YARA-X, endpoint or SIEM queries, cloud detections, correlation, alert enrichment, and fixtures with explicit telemetry and false-positive controls.

  • 7 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added September 5, 2026
ai-agentssecurityperformance

Security analysis

A100/100

Pro scans all 3 files and shows the line behind each finding

Scanned September 5, 2026

npx -y skills add gaelic-ghost/socket --skill author-detection-content --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Author Detection Content?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Author Detection Content
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/gaelic-ghost-author-detection-content/badge)](https://www.skillsdirectory.com/skills/gaelic-ghost-author-detection-content)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: author-detection-content
description: Turn validated security behavior into tested detection content. Use for Sigma, osquery, YARA-X, endpoint or SIEM queries, cloud detections, correlation, alert enrichment, and fixtures with explicit telemetry and false-positive controls.
---

# Author Detection Content

## Overview

Detect the validated behavior at the most reliable telemetry layer. Use `author-yara-x-rules` for artifact pattern rules; use this workflow for event, query, correlation, and alert content.

Read [references/detection-quality.md](references/detection-quality.md) before choosing logic or deployment severity.

## Workflow

1. Define objective and response.
   - State the behavior, threat/finding source, protected surface, expected alert consumer, urgency, and action.
2. Identify telemetry prerequisites.
   - Record source/product/version, event types/fields, collection permissions, normalization, retention, latency, and known blind spots.
3. Select durable features.
   - Prefer behavior and context combinations over mutable infrastructure or one noisy field.
   - Map to ATT&CK only when evidence supports it.
4. Author content.
   - Include title/ID, description, status, author/date, references, log source, logic/query, fields, false positives, level/severity, tags, and test notes as the target format permits.
5. Test fixtures.
   - Include validated positive events, benign negatives and near-misses, missing/renamed fields, ordering/time-window cases, duplicate events, volume/performance, and known platform variants.
6. Tune and validate response.
   - Improve logic before adding exclusions; verify enrichment and runbook lead an analyst to decisive evidence.
7. Deploy and maintain.
   - Record target environments, owner, version, rollout, alert volume, suppression/exception expiry, health checks, and review triggers.

## Output

Return detection content, telemetry contract, evidence provenance, fixture results, false positives/limits, performance, severity/response, deployment plan, and owner/review date.

Files in this skill

  • SKILL.md2 KB
  • agents/openai.yaml247 B
  • references/detection-quality.md896 B

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.