salverius-tech/introspection
home/dot_agents/adapters/copilot/skills/introspection/SKILL.md
Meta-improvement patterns for analyzing interactions. Includes VS Code Copilot session storage access for interaction analysis.
development
Updated May 17, 2026
$ install --global
skillsauthnpx skillsauth add salverius-tech/dotfiles introspectionInstall 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 17, 2026, 4:55 AM120.5s1 file scanned
SKILL.md
- name:
- introspection
- description:
- Meta-improvement patterns for analyzing interactions. Includes VS Code Copilot session storage access for interaction analysis.
Read ~/.agents/skills/introspection/knowledge.md for the full guidelines. Note: the path is ~/.agents, not ~/.claude.
Copilot-Specific: VS Code Session Storage
Data Source Location
Chat sessions are stored in VS Code's workspace-specific storage:
%APPDATA%\Code\User\workspaceStorage\{workspace-hash}\chatSessions\*.json
Finding the Workspace Hash
- Scan
%APPDATA%\Code\User\workspaceStorage\*\workspace.json - Match
folderfield to current workspace (URL-encoded:file:///c%3A/Dev/project-name) - Use that directory's hash
Session JSON Structure
{
"creationDate": 1770131457017,
"lastMessageDate": 1770135987184,
"requests": [
{
"timestamp": 1770131540436,
"modelId": "copilot/claude-opus-4.5",
"message": { "text": "user prompt" },
"response": [
{ "value": "assistant text" },
{ "kind": "toolInvocationSerialized" },
{ "kind": "thinking" }
]
}
]
}
Extracting Interaction Data
For pattern detection, extract:
| Field | Path | Use |
|-------|------|-----|
| User message | requests[].message.text | Detect correction loops |
| Assistant text | requests[].response[].value (where kind=null) | Analyze responses |
| Tool calls | requests[].response[] (where kind=toolInvocationSerialized) | Track tool usage |
| Timestamp | requests[].timestamp | Filter by checkpoint |
| Model | requests[].modelId | Context for analysis |
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