timothymeadows/clean-context
skills/clean-context/SKILL.md
Clean and compress host-repository context by compacting completed task files, deduplicating memory/rules/debug notes, and refreshing a high-signal context summary. Use after finishing tasks, before handoff, or when context artifacts become noisy.
$ install --global
skillsauthnpx skillsauth add timothymeadows/opencaw clean-contextInstall 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: Apr 17, 2026, 2:20 AM8.4s1 file scanned
SKILL.md
- name:
- clean-context
- description:
- Clean and compress host-repository context by compacting completed task files, deduplicating memory/rules/debug notes, and refreshing a high-signal context summary. Use after finishing tasks, before handoff, or when context artifacts become noisy.
When to use
Use when active context has grown noisy and you need to keep only high-signal artifacts for the next session.
Workflow
- Verify task changes first.
- Compact a specific completed task note when needed:
../commands/archive-task-context.sh "<task-name>"
- Run full cleanup and summary refresh:
../commands/clean-context.sh
Output
- task files compacted
- memory entries merged
- duplicate rules removed
- debug notes compressed
- recommended context summary refreshed
Safety rules
- Never delete durable knowledge without archiving first.
- Prefer summarization over destruction.
- Keep
../.ai/MEMORY.mdshort and high-value. - Preserve traceability via
../.ai/archive/tasks/snapshots and../.ai/reports/report files.
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