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TrailSnap

Skill Development Usable

TrailSnap (行影集) | AI-Powered open-source photo album for travel & life memories.(AI赋能的开源相册工具,珍藏旅行与生活点滴)

482 starsAGPL-3.0 (check with legal)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces manual photo organization overhead by automatically categorizing and indexing travel memories, enabling teams to preserve institutional knowledge and client case studies without dedicated archival labor.

Engineering teams and consultants managing project documentation through visual records and client engagement portfolios.

Claude Code Claude Cowork Claude Chat

https://github.com/LC044/TrailSnap

By LC044

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install LC044/TrailSnap

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars482Last updated2026-05-31LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-01 · scanner v1

Community Pulse Growing

Discussed on Hacker News

8 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 482 GitHub stars; contributors unknown; last commit 1d ago; license AGPL-3.0.

Things to check

  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score2.55 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 482 GitHub stars; contributors unknown; last commit 1d ago; license AGPL-3.0.

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