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code-abyss

Skill Development Usable

Give your AI coding agent a personality. Composable persona + style + skills for Claude Code, Codex, Gemini CLI & OpenClaw. Ships Tech Persona Card v1.0 spec.

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

Standardizes AI coding agent behavior across multiple LLM platforms, reducing inconsistency and enabling teams to enforce coding standards, communication style, and skill emphasis programmatically.

Engineering teams integrating Claude or other LLM coding agents who need consistent output quality and style across different AI models and environments.

Claude Code Claude Cowork Claude Chat

https://github.com/telagod/code-abyss

By telagod

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 telagod/code-abyss

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

CostFree

Trust Signals Auto-scanned

Stars211Last updated2026-05-16LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Growing

Discussed on Reddit

9 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 211 GitHub stars; contributors unknown; last commit 4d ago; license MIT.

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
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 211 GitHub stars; contributors unknown; last commit 4d ago; license MIT.

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