# Bolta Review Digest

> V2 - Generate a human-readable review summary (daily/weekly digest) of inbox activity, agent performance, and pending actions. Use when this capability is needed.

- Skill: `tomevault-io/bolta-review-digest` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/bolta-review-digest`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/bolta-review-digest/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/bolta-review-digest

---


## Goal
Produce a concise, actionable summary of review activity for human consumption.

## V2 Changes
- **Agent-aware:** References which agents created content, which approved it
- **State machine updated:** Uses V2 states (inbox, approved, scheduled, published)
- **Client tag filtering:** Agency users can get per-client digests
- **Performance metrics:** Includes engagement data if available

## Steps
1. **Fetch inbox items from period:**
   - `bolta.list_inbox_items({workspace_id, created_after: period_start, limit: 100})`
   - Filter by `client_tag` if provided

2. **Calculate stats:**
   - Total items in inbox during period
   - Items approved vs rejected vs still pending
   - Average time-to-approval
   - By agent: posts created, approval rate, average quality

3. **Identify top performers:**
   - `bolta.list_recent_posts({workspace_id, published_after: period_start, limit: 50})`
   - `bolta.get_post_metrics(post_id)` for each
   - Rank by engagement (likes, comments, shares)

4. **Generate action items:**
   - "X posts still awaiting review (oldest: Y days)"
   - "Agent Z has low approval rate (40%) - review persona"
   - "Client ABC has 5 posts ready to schedule"

5. **Format summary:**
   ```
   Weekly Review Digest (Feb 14-20, 2026)
   
   📊 Stats:
   - 45 posts created (by 3 agents)
   - 32 approved (71% approval rate)
   - 8 rejected (18%)
   - 5 still pending review
   
   🏆 Top Performers:
   1. "How we 10x'd engagement" - 234 likes, 45 comments
   2. "Founder story: Why we built this" - 189 likes, 32 shares
   
   🤖 Agent Performance:
   - HypeMan: 20 posts, 85% approval rate ⭐
   - ContentBot: 15 posts, 60% approval rate ⚠️
   - WeeklyPlanner: 10 posts, 100% approval rate 🎯
   
   ✅ Action Items:
   - 5 posts pending review (oldest: 3 days)
   - ContentBot needs persona review (approval rate dropped)
   - Client Acme Corp: 8 posts ready to schedule
   ```

## Output
Return `summary_text` (markdown formatted), `stats` (object), `top_performing_posts`, `action_items`.

## Agent Types That Use This Skill
- **reviewer** — Generate digest as part of weekly review job
- **analytics** — Broader reporting capabilities
- **custom** — User-defined agents with reporting enabled

---
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<!-- tomevault:4.0:skill_md:2026-04-13 -->