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Dedup

ASecurity

Find and merge duplicate or near-duplicate notes anywhere in a vault (rules, concepts, people, leads) with a deterministic scanner and a supersede-not-delete merge policy. Human review before any merge is written. Triggers: "/dedup", "clean up duplicates", "dedupe <folder>".

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  • Added September 5, 2026
ai-agentspythongogit

Works with

  • mcp

Security analysis

A100/100

Scanned October 3, 2026

npx -y skills add tonydzi/second-brain-starter-kit --skill dedup --agent claude-code

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SKILL.md
---
name: dedup
description: >-
  Find and merge duplicate or near-duplicate notes anywhere in a vault (rules, concepts, people,
  leads) with a deterministic scanner and a supersede-not-delete merge policy. Human review
  before any merge is written. Triggers: "/dedup", "clean up duplicates", "dedupe <folder>".
license: MIT
---

# /dedup β€” find & merge duplicates (supersede, never delete)

> πŸ§’ **When reporting to a non-technical operator:** end with a child-simple "In plain words" recap in their language.

## πŸ–₯️ Dashboard first (the operator works visually)
`python "$IMPORTS_ROOT/build_dedup_dashboard.py"` (it runs the scan itself) β†’ open `$OBSIDIAN_VAULT/_Dashboards/Dedup-Dashboard.html`: candidate clusters by topic, colour = similarity (πŸ”΄ β‰₯0.7 almost certainly a duplicate); each cluster shows which note to keep (the newer one) and which becomes superseded. DISPLAY ONLY; merging is done by hand below (supersede, never delete). Complementary notes are left alone.

## Step 1 β€” Scan (deterministic; AK-47, ~free; token law)
`python "$IMPORTS_ROOT/dedup_scan.py"` β†’ scans ACTIVE notes by theme, difflib similarity β†’ candidate clusters in `$IMPORTS_ROOT/dedup_report.txt`. For a DIFFERENT folder, copy the script and change its `OPS` path. Start at similarity β‰₯0.5 (high-confidence), then β‰₯0.4 for the next tier β€” **loop-until-dry** (stop when remaining clusters are complementary/noise).

## Step 2 β€” Judge each cluster (NOT every look-alike is a dup)
- **Identical** β†’ keep the original (lowest msg_id), mark the echo superseded.
- **Same topic, different nuance, non-conflicting** β†’ keep the NEWER; graft the older's unique nuances into it.
- **Conflict** β†’ NEWER wins (the operator's law: fresher beats older on the same topic). BUT an explicit `origin: anton` rule is overridden only by the operator or an explicit `supersedes`.
- **Complementary** (different facets/recipients) β†’ **LEAVE**. Merging loses nuance (e.g. "notify the operator" vs "notify teacher" vs "notify nanny" = 3 rules, not 1).
- **Money / sensitive / ambiguous** β†’ do NOT merge; **FLAG for the operator**.

## Step 3 β€” Apply the merge (truth layer)
- Canonical note: add `audience`, `supersedes: "[[loser]]"`, graft nuances into the body.
- Loser note: `status: active` β†’ `superseded`; add `superseded_by: "[[canonical]]"`; add body marker `> ⊘ Merged into [[canonical]] β€” <reason>`. **NEVER delete** (git-reversible; nothing lost).
- Record in the sidecar `$IMPORTS_ROOT/superseded_rules.json` (`"<msg_id>": {"by": "<canonical_fn>"}`) so the decision survives a pipeline rebuild.

## Step 4 β€” Fix the index/MOC view
- If a generator builds the list (e.g. `build_rules2.py`, superseded-aware) AND its inputs exist β†’ re-run β†’ deploy just the MOC file.
- Else hand-fix the index: drop the superseded lines + update the count.
- ⚠️ **GRABLI:** deleting MULTIPLE adjacent list-lines via batched `\n`-anchored Edits JOINS neighbor lines. To remove several lines, use a SCRIPT that filters by slug (like `fix_pokupki_moc.py`), or `git checkout <good-commit> -- <file>` then re-script. NEVER batch-Edit list deletions.

## Step 5 β€” Backup + verify + report
`vault_backup.py` before edits; after, grep-count `^status: superseded` to verify the number; commit. Report BEFOREβ†’AFTER on real notes + πŸ§’ recap. Flag anything left for the operator (e.g. money conflicts).


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**Like this skill?** It is one of 100 in [second-brain-starter-kit](https://github.com/tonydzi/second-brain-starter-kit): the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with `npx skills add tonydzi/second-brain-starter-kit`. Everything is open source and free, so take what you need.

Flagships worth a look on their own: [secondop-panel](https://github.com/tonydzi/secondop-panel) (a second opinion from a panel of external models), [claude-memory-tidy](https://github.com/tonydzi/claude-memory-tidy) (stop your agent's memory from rotting), [telegram-mcp-kit](https://github.com/tonydzi/telegram-mcp-kit) (your own Telegram over MCP in about 15 minutes).

Author: **Anton Dziatkovskii**, Palo Alto AI Research Lab. Telegram [@tonydzi](https://t.me/tonydzi) - WhatsApp [+1 341 222 9178](https://wa.me/13412229178) - X [@Tony_Stef_](https://x.com/Tony_Stef_)

**Engineers: want to test-drive this setup?** Message me. I hand out free starter seeds to engineers who test and report back, and custom skill requests are welcome.

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