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dcode-agent-kit

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces agent setup friction by automating boilerplate scaffold generation, letting teams deploy LangChain or dcode agents in minutes rather than hours of ma…

Single Claude Code skill that scaffolds fully working LangChain Deep Agents or dcode CLI agents into any project via /new-dcode-agent command.

46 starsMIT (commercial OK)Free
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces agent setup friction by automating boilerplate scaffold generation, letting teams deploy LangChain or dcode agents in minutes rather than hours of manual configuration.

Engineering teams building AI agent integrations who need repeatable, standardized agent project initialization.

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https://github.com/EliaAlberti/dcode-agent-kit

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.
First thing to try

After installing, paste this into Claude:

Help me generate a new LangChain Deep Agent scaffold with /new-dcode-agent command

Trust Signals Auto-scanned

Stars46Contributors1Last updated2026-06-23LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse New

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): 46 GitHub stars; 1 contributors; last commit 32d ago; license MIT.

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.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

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 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 46 GitHub stars; 1 contributors; last commit 32d ago; license MIT.

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