memory-reflect — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited memory-reflect (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Review recent activity and consolidate valuable insights into long-term memory.
Inspired by sleep-time compute — the idea that memory formation happens best between active sessions, not during them.
Find what changed recently, then read the relevant files:
# Find recently modified notes — use json format for the complete list
# (text format truncates to ~5 items in the summary)
recent_activity(timeframe="2d", output_format="json")
# Read specific daily notes
read_note(identifier="memory/2026-02-27")
read_note(identifier="memory/2026-02-26")
# Check active tasks
search_notes(note_types=["task"], status="active")For each piece of information, ask:
Write consolidated insights to MEMORY.md following its existing structure:
Append a brief entry to today's daily note:
## Reflection (HH:MM)
- Reviewed: [list of files reviewed]
- Added to MEMORY.md: [brief summary of what was consolidated]
- Removed/updated: [anything cleaned up]~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.