# Review And Link

> Walk recent notes one at a time; for each, propose 1–2 wikilinks based on the vault's existing graph. Automates the user's review ritual.

- **Type:** Skill
- **Install:** `agentstack add skill-bettyguo-obsidian-mcp-review-and-link`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [bettyguo](https://agentstack.voostack.com/s/bettyguo)
- **Installs:** 0
- **Category:** [Security](https://agentstack.voostack.com/c/security)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [bettyguo](https://github.com/bettyguo)
- **Source:** https://github.com/bettyguo/obsidian_mcp/tree/main/skills/review-and-link

## Install

```sh
agentstack add skill-bettyguo-obsidian-mcp-review-and-link
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

## When to use

The user has captured notes and wants to integrate them into the link graph. This is the "inbox triage" workflow — small, focused, repeated. Default horizon: last 7 days OR an `Inbox/` folder if present.

## Procedure

1. Call `vault_info`. Check if an `Inbox/` (or `00 Inbox/`, `0 Inbox/`) folder exists. If yes, use that; if no, use `list_notes(modified_since="7d")`.
2. If more than 15 candidate notes, ask the user how many to review this session (default 5).
3. For each candidate, in order of mtime descending:
   - Call `read_note(path=candidate)`.
   - Call `find_related(seed=candidate, top_k=5)` and `find_backlinks(path=candidate)`.
   - If the note already has 3+ outgoing wikilinks, skip ("looks integrated") and move on.
   - Otherwise: surface to user. Show the note's lead paragraph (truncated to ~200 chars), the top 3 related candidates, and any existing backlinks.
   - Propose 1–2 wikilink inserts. The user picks: insert, edit, skip, or "move to MOC X."
   - Apply the chosen action via `link_notes(..., confirm=true)`.
4. After the session, summarize: "Reviewed {N} notes. Inserted {K} links. {M} still untouched."

## Output format (per note)

```
Reviewing: [[Inbox/2026-05-12 Reranking trade-offs]]
Lead: "Cross-encoders dominate on top-100 recall but cost 10× the latency of bi-encoders..."

Top related (not yet linked):
  1. [[Bi-encoder vs cross-encoder]] — sim 0.78
  2. [[Latency budget for retrieval]] — sim 0.71
  3. [[MOCs/RAG research]] — sim 0.64

Proposed insert: `[[Bi-encoder vs cross-encoder]]` near "Cross-encoders dominate..."
Action? (insert / edit / skip / move-to-MOC)
```

## Anti-patterns

- Don't batch more than 5–10 notes per session. The whole point is supervised one-at-a-time review.
- Don't propose links to notes the user has already explicitly skipped this session. Track session-state in your chat reply.
- Don't auto-archive (move to a different folder) without explicit instruction. Linking ≠ archiving.
- Don't summarize the note for the user — they wrote it, they remember it. Just show the lead paragraph and the candidates.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [bettyguo](https://github.com/bettyguo)
- **Source:** [bettyguo/obsidian_mcp](https://github.com/bettyguo/obsidian_mcp)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-bettyguo-obsidian-mcp-review-and-link
- Seller: https://agentstack.voostack.com/s/bettyguo
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
