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cap-evolve

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces AI agent drift and performance degradation by systematically tuning skills, tools, and prompts against your team's actual evaluation criteria, loweri…

Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.

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

Reduces AI agent drift and performance degradation by systematically tuning skills, tools, and prompts against your team's actual evaluation criteria, lowering production failure risk.

Engineering teams deploying custom AI agents who need measurable quality assurance and continuous skill optimization.

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https://github.com/skillberry-ai/cap-evolve

By skillberry-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 skillberry-ai/cap-evolve

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 evaluate my AI agent's performance on custom test cases and identify weak skills
CostFree

Trust Signals Auto-scanned

Stars35Last updated2026-07-27LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-27 · 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): 35 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 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 35 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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