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SKILL verified MIT Self-run

Annotate

skill-macroman5-autotrain-yolo-annotate · by MacroMan5

Claude visually inspects images and corrects/creates YOLO bounding box annotations using multimodal vision.

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Install

$ agentstack add skill-macroman5-autotrain-yolo-annotate

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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○ 4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Annotate

Claude vision annotation correction using multi-pass refinement.

STATUS: EXPERIMENTAL

Approach

  1. YOLO inference at low confidence (0.15) → precise boxes
  2. Claude vision review → keeps good, removes bad, identifies missed
  3. For missed objects → YOLO on cropped region
  4. Final Claude validation

Workflow

  1. Read yolo-project.yaml for class names
  2. For each image:

a. Draw existing annotations: python scripts/draw_annotations.py b. Claude reads annotated image c. Evaluate: keep / correct / remove / add d. Write corrected YOLO label

Coordinate Guide

  • (0.0, 0.0) = top-left, (1.0, 1.0) = bottom-right
  • (0.5, 0.5) = center
  • Width/height relative to image

Limitations

  • ~10-15% coordinate error
  • Best for objects > 5% of image area
  • Prefer correcting existing boxes over creating from scratch

Source & license

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

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

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Versions

  • v0.1.0 Imported from the upstream source.

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