# Review Annotations

> AI-assisted annotation review — uses YOLO inference + Claude vision to auto-approve, correct, or flag images for human review in CVAT.

- **Type:** Skill
- **Install:** `agentstack add skill-macroman5-autotrain-yolo-review-annotations`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [MacroMan5](https://agentstack.voostack.com/s/macroman5)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [MacroMan5](https://github.com/MacroMan5)
- **Source:** https://github.com/MacroMan5/autotrain-yolo/tree/master/.claude/skills/review-annotations

## Install

```sh
agentstack add skill-macroman5-autotrain-yolo-review-annotations
```

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

## About

# Review Annotations

Multi-pass annotation review: YOLO precision + Claude intelligence.

**STATUS: EXPERIMENTAL**

## Workflow

### 1. Setup
Read `yolo-project.yaml` for classes, model path. Get review folder from user.

### 2. Prepare Output
Create: `review_output/approved/`, `needs_review/`, `rejected/`

### 3. Process Images (batches of 5-10)
For each image:
1. Run YOLO at low confidence: `python scripts/multi_pass_annotate.py --image  --model  --conf 0.15`
2. Draw existing annotations: `python scripts/draw_annotations.py`
3. Claude reads annotated image (multimodal)
4. Judge: AUTO-APPROVE / AUTO-CORRECT / NEEDS HUMAN / REJECT

### 4. Generate Report
Write `review_output/review_report.md` with counts, corrections, common issues.

## Guardrails
- Batch size 5-10 to avoid context overflow
- Never auto-approve if uncertain
- When uncertain → needs_review
- Generate CVAT export command for needs_review

## Source & license

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

- **Author:** [MacroMan5](https://github.com/MacroMan5)
- **Source:** [MacroMan5/autotrain-yolo](https://github.com/MacroMan5/autotrain-yolo)
- **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-macroman5-autotrain-yolo-review-annotations
- Seller: https://agentstack.voostack.com/s/macroman5
- 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%.