원클릭으로
remember-status
Show Remember Second Brain statistics and status
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Show Remember Second Brain statistics and status
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Ask a natural-language question of your second brain. The AI reformulates as optimal search queries, calls the `mcp__remember__search_brain` tool, and synthesizes an answer with citations.
Initialize Remember Second Brain structure and configuration
Capture knowledge to your Second Brain when triggered by "remember this", "save this", or "brain dump"
Evolve the brain — consolidate entities, reflect on beliefs, promote top beliefs to Persona. Run weekly or on demand.
Process unprocessed Claude Code sessions into your Second Brain
| name | remember:status |
| description | Show Remember Second Brain statistics and status |
Displays brain statistics: file counts, recent activity, and brain health.
/remember:status
NEVER use Bash commands for brain operations. Use Claude Code's built-in tools which are auto-approved and require zero permission prompts:
| Operation | ✅ Use This | ❌ NOT This |
|---|---|---|
| List files | LS tool | bash ls |
| Find files | Glob tool | bash find |
| Search content | Grep tool | bash grep |
| Read files | Read tool | bash cat |
| Write/create files | Write tool | bash echo > / bash tee |
| Count files | Glob tool + count results | bash wc |
| Check env vars | Already available as $REMEMBER_BRAIN_PATH | bash echo $VAR |
For complex operations (stats, counting, multi-step), use a subagent (Task tool) that uses the same built-in tools.
Why: additionalDirectories auto-approves LS/Glob/Grep/Read/Write. Bash always prompts.
Read $REMEMBER_BRAIN_PATH env var, fallback ~/remember. Use this as {brain_path}.
If brain path doesn't exist → tell user to run /remember:init.
See "What to show" below for the full output template.
List recently modified files (last 7 days) across People/, Projects/, Journal/, Notes/.
Read {brain_path}/Persona.md and show a brief summary of captured patterns.
Check if {brain_path}/.git/ exists (use LS tool on {brain_path}/.git):
Exists → show Backup: ✅ git-tracked. If you want to be helpful, also run git -C {brain_path} status --porcelain | wc -l and surface uncommitted-file count if > 0 (e.g. Backup: ✅ git-tracked · 12 uncommitted files — consider committing).
Missing → show a warning block at the end of the output:
⚠️ Backup: NOT git-tracked
Your brain lives at {brain_path} but has no git history. A single bad
capture or accidental delete could lose months of work.
Recommended:
cd {brain_path}
git init
git add .
git commit -m "initial brain snapshot"
(Optional) push to a private GitHub repo for off-machine backup.
This is non-blocking — never refuse to show stats just because backup is missing.
Brain path: {brain}
Counts:
- {N} Notes
- {N} People
- {N} Projects (active: {N})
- {N} Areas
- {N} Journal entries (latest: {date})
- {N} Tasks (Focus: {n}, Next Up: {n})
Schema breakdown (by type):
- world-fact: {N}
- belief: {N}
- observation: {N}
- experience: {N}
- untyped (legacy): {N}
Freshness (L2 files only):
- stable: {N}
- strengthening: {N}
- weakening: {N}
- stale: {N}
- contradicted: {N}
Top 5 beliefs by confidence:
1. [[Notes/x]] conf={c} sources={n} freshness={f}
2. ...
Recent evolution.log (last 5 entries):
{timestamp} {TYPE} {message}
...
Backup: ✅ git-tracked (or) ⚠️ NOT git-tracked — see warning below
To produce this:
scripts/config.js parseFrontmatter).type and freshness.type: belief files; sort by confidence desc; take top 5.~/.local/state/remember/evolution.log (use tail -n 5).Existing files without type: count under "untyped (legacy)" — the upgrade is lazy.
If ~/.local/state/remember/evolution.log does not exist yet (no evolve runs have occurred), show (none yet) for the "Recent evolution.log" section or skip it.
Use LS and Glob tools to read directories and count files. For frontmatter parsing, use parseFrontmatter from scripts/config.js. For complex stats, use a subagent.