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kin

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Tracks AI-generated code changes and their dependencies before merge, reducing integration risk and enabling teams to understand impact across systems when A…

The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see what a change touches before it merges. Beside Git today.

59 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Tracks AI-generated code changes and their dependencies before merge, reducing integration risk and enabling teams to understand impact across systems when AI contributes to production codebases.

Engineering teams integrating AI coding assistants into CI/CD pipelines who need visibility into generated code dependencies.

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https://github.com/firelock-ai/kin

By firelock-ai

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 firelock-ai/kin

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

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me track which files and components an AI-generated code change impacts before merging
CostFree

Trust Signals Auto-scanned

Stars59Contributors7Last updated2026-09-13LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-13 · scanner v1

Community Pulse Emerging

Discussed on Hacker News

1 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 47 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

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
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 47 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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