gaelic-ghost/socket/author-detection-content
Claude Code and agent skill by gaelic-ghost/socket
- community
Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install gaelic-ghost/socket/author-detection-contentSKILL.md
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 before choosing logic or deployment severity.
Workflow
- Define objective and response.
- State the behavior, threat/finding source, protected surface, expected alert consumer, urgency, and action.
- Identify telemetry prerequisites.
- Record source/product/version, event types/fields, collection permissions, normalization, retention, latency, and known blind spots.
- Select durable features.
- Prefer behavior and context combinations over mutable infrastructure or one noisy field.
- Map to ATT&CK only when evidence supports it.
- 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.
- 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.
- Tune and validate response.
- Improve logic before adding exclusions; verify enrichment and runbook lead an analyst to decisive evidence.
- 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.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/author-detection-content/SKILL.md
Popularity
- Repository stars
- 7
- 7-day trend score
- 10
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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