Analyze and report on agent and skill execution contributions in Claude Code. Operations teams use it to parse execution logs, calculate call counts, success rates, and rankings. Integrates with Claude Code plugins.
git clone https://github.com/kubony/claude-agent-leaderboard.gitClaude Agent Leaderboard analyzes execution logs from Claude Code to measure agent, skill, and command performance. It parses session logs to calculate call counts, success rates, average execution times, and identify unused registered agents. The skill generates reports in multiple formats—text tables, ASCII bar charts, markdown, and JSON—with filtering options for date ranges, individual projects, or global analysis. Teams can track weekly top performers, detect out-of-memory crashes, and analyze agent chaining patterns and temporal usage trends. It requires Python 3.8+ with no external dependencies and installs as a Claude Code plugin or manual skill.
Install via Claude Code plugin with `/plugin install kubony/claude-agent-leaderboard` or manually clone to `~/.claude/skills/agent-leaderboard`. Run `/agent-leaderboard` for this week's stats or use flags like `--all`, `--bar`, `--report`, or `--full` for different date ranges, output formats, and analysis types.
Track which agents and skills are most frequently used across projects
Calculate success rates and identify reliability issues in agent execution
Generate weekly performance reports for operations and team visibility
Detect registered but unused agents to optimize skill development
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/kubony/claude-agent-leaderboardCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the agent and skill execution logs for [COMPANY] in the [INDUSTRY] sector. Calculate the call counts, success rates, and rankings for each agent and skill. Provide a detailed report with visualizations and actionable insights. Focus on the [DATA] period from [START_DATE] to [END_DATE].
## Agent and Skill Performance Report ### Overview The following report provides a detailed analysis of agent and skill performance for [COMPANY] in the [INDUSTRY] sector over the [DATA] period from [START_DATE] to [END_DATE]. ### Top Performing Agents 1. **Agent Alpha** - Call Count: 1,200 - Success Rate: 98% - Key Skills: Data Analysis, Reporting 2. **Agent Beta** - Call Count: 950 - Success Rate: 95% - Key Skills: Automation, Integration 3. **Agent Gamma** - Call Count: 800 - Success Rate: 92% - Key Skills: Data Extraction, Processing ### Top Performing Skills 1. **Data Analysis** - Call Count: 1,500 - Success Rate: 97% - Top Agents: Agent Alpha, Agent Delta 2. **Automation** - Call Count: 1,200 - Success Rate: 96% - Top Agents: Agent Beta, Agent Epsilon 3. **Reporting** - Call Count: 1,000 - Success Rate: 95% - Top Agents: Agent Alpha, Agent Zeta ### Actionable Insights - **Agent Alpha** and **Agent Beta** are the top performers, contributing significantly to the overall success rate. Consider rewarding or recognizing their efforts. - The **Data Analysis** skill has the highest call count and success rate, indicating its critical role in the company's operations. - **Agent Gamma** has a lower success rate compared to the top agents. Investigate potential issues and provide additional training or support if necessary. - The **Automation** skill is highly utilized and has a high success rate. Explore opportunities to expand its application across other departments.
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