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aicode-toolkit

Skill Development Poor
Works inClaude Code
Poor Scanned — metadata only

Reduces debugging time and build failures when AI agents operate on large codebases, ensuring reliable code generation and modification across complex reposi…

Toolkit for Coding Agents to work reliably with repo of any size.

161 starsAGPL-3.0 (check with legal)FreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Reduces debugging time and build failures when AI agents operate on large codebases, ensuring reliable code generation and modification across complex repositories without hallucination or incomplete context.

Engineering teams integrating AI coding agents into CI/CD pipelines or large monorepos.

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https://github.com/AgiFlow/aicode-toolkit

By AgiFlow

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add 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 AgiFlow/aicode-toolkit

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 automate code analysis across large repositories to identify dependencies and architecture
CostFree

Trust Signals Auto-scanned

Stars161Contributors5Last updated2026-10-21LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-25 · scanner v1

Community Pulse Quiet

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 162 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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.
  • 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
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 162 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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