athola/extract
plugins/gauntlet/skills/extract/SKILL.md
Builds the gauntlet knowledge base from AST extraction and AI enrichment. Use when initializing or refreshing codebase knowledge for challenges.
$ install --global
skillsauthnpx skillsauth add athola/claude-night-market extractInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 27, 2026, 4:41 AM152.1s1 file scanned
SKILL.md
- name:
- extract
- description:
- Builds the gauntlet knowledge base from AST extraction and AI enrichment. Use when initializing or refreshing codebase knowledge for challenges.
- model_hint:
- standard
Extract Codebase Knowledge
Build or rebuild the .gauntlet/knowledge.json knowledge base.
Steps
-
Identify target directory: use the current working directory or a user-specified path
-
Run AST extraction: invoke the extractor script
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/extractor.py <target-dir> -
AI enrichment: for each extracted entry, enhance the
detailfield with natural language explanation of business logic, data flow, architectural role, and rationale -
Cross-reference: link related entries across modules by matching imports, shared types, and data flow paths
-
Merge with annotations: preserve existing curated entries in
.gauntlet/annotations/ -
Save: write to
.gauntlet/knowledge.json -
Report: show summary by category, coverage gaps, difficulty distribution
Category Priority
- business_logic (weight 7)
- architecture (weight 6)
- data_flow (weight 5)
- api_contract (weight 4)
- pattern (weight 3)
- dependency (weight 2)
- error_handling (weight 1)
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