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from digital-life39
A set of reflective tools that analyze a user’s digital traces (posts, profiles, exports) to surface behavioral patterns and actionable self-insights while pres
Digital Life provides a suite of micro-skills that translate a user's digital footprints (social posts, activity logs, exports) into concise behavioral profiles and actionable questions. Each micro-skill focuses on a different life-framing (e.g., "Social Death Archaeology", "Digital Heirloom Audit", "AI Doppelgänger") and guides the agent through safe data collection, evidence extraction, pattern detection, and a short human-readable report. The goal is reflective self-awareness, not therapy or judgment.
Use when a user wants to understand long-term habits, recurring social patterns, hidden behaviors in their public or exported data, or to prepare a digital legacy. Typical triggers: personal archive review, reputation cleanup, legacy planning, or curiosity about long-term behavioral trends. The skill requires user confirmation before any browser-based capture.
Agents that support browser automation or web_fetch and local analysis (agents with browser tooling, web_fetch, or Python-based execution) will get the most value. The skill emphasizes local processing and privacy-preserving patterns.
Digital Life is a Chinese-language self-reflection skill suite with 6 sub-skills (past life, social death archaeology, AI substitute, legacy audit, epitaph, distilled life). It includes 5 scripts: a profile manager, package manager, validator, validation rules, and a large test suite (4646 lines). Scripts use subprocess only for internal tool calls (version checks, running other scripts in the repo). No network calls, no hardcoded credentials, no destructive commands, no exfiltration patterns. The main security concern is minor: subprocess.check_output usage for version commands is safe but worth noting. 4 of 5 scripts fail on import due to module resolution issues (validation_rules not on sys.path when run from temp dir), but validation_rules.py itself succeeds. The SKILL.md is extensive with strong privacy guardrails (read-only browser access, no raw data retention, no impersonation). Architecture follows the AgentSkill spec well with frontmatter, scripts/, references/, and clear execution flow.
Well-structured self-reflection skill with thoughtful privacy boundaries. The import path issue is a packaging concern, not a security issue. The skill is niche (Chinese-language personal introspection tools) which limits broad usefulness. No security red flags found — no credential leakage, no network exfiltration, no destructive commands, no auto-update mechanisms.
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