Menu

Individual skill

amazon-rekognition

0upvotes

Use this skill when an agent needs production image or video understanding with Amazon Rekognition: labels, objects, scenes, OCR, moderation, image properties, Custom Labels or moderation adapters, stored-video analysis, conditional streaming-video workflows for existing eligible accounts, searchable media libraries, confidence evaluation, S3/IAM/event architecture, privacy, biometric consent, cost control, lifecycle management, and QA.

skills/providers/image-understanding/amazon-rekognition/SKILL.md

Read pinned source

Source commit 8c85352d5d75d4dcbe58480bd138e37b9742bab1

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Instructions only
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
241
Repository last updated
Jul 14, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Amazon Rekognition for Production Image and Video Understanding

Amazon Rekognition is an AWS computer-vision service for analyzing existing images and videos. Use it to extract metadata, screen user-generated content, build searchable media libraries, support media operations, or add narrowly governed identity-verification steps. Do not use this skill for generating images, editing pixels, creating synthetic media, or judging whether a human reference is ethically usable for generation; those are separate generation and reference-analysis tasks.

This skill treats Rekognition as an analysis system that returns probabilistic metadata. It is not a replacement for editorial review, legal review, consent management, or a human moderation policy.

## Evidence Legend

- **Documented fact**: Stated in AWS documentation or AWS-owned service pages. Consequential facts include source links and volatile facts include a verification date.
- **Production heuristic**: Operational guidance inferred from documented behavior and common production requirements; validate against the application, jurisdiction, and risk tolerance.
- **Empirical observation**: A result from a reproducible test. This skill does not include first-party experiments; when you test, record dataset, date, region, API version/model version, thresholds, and confusion matrix.

## Activation Boundaries
Back to top