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// Skill profile

Agent Toolkit

version: "2.0.0"

by bytesagain · published 2026-03-22

开发工具数据处理
Total installs
0
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Last updated
2026-03
// Install command
$ claw add gh:bytesagain/bytesagain-ba-agent-toolkit
View on GitHub
// Full documentation

---

version: "2.0.0"

name: agent-toolkit

description: "Configure and benchmark agent tools and integration patterns. Use when setting up agent workflows, comparing tools, or evaluating agents."

author: BytesAgain

homepage: https://bytesagain.com

source: https://github.com/bytesagain/ai-skills

---

# Agent Toolkit

A comprehensive AI toolkit for configuring, benchmarking, comparing, and optimizing agent tools and integration patterns. Agent Toolkit provides persistent, file-based logging for each command category with timestamped entries, summary statistics, multi-format export, and full-text search across all records.

Commands

| Command | Description |

|---------|-------------|

| `configure` | Configure agent tools — log configuration entries or view recent ones |

| `benchmark` | Benchmark tool performance — log benchmark results or view history |

| `compare` | Compare tool outputs — log comparison data or view recent comparisons |

| `prompt` | Prompt management — log prompt variations or view recent prompts |

| `evaluate` | Evaluate tool results — log evaluation data or view history |

| `fine-tune` | Fine-tune parameters — log fine-tuning sessions or view recent ones |

| `analyze` | Analyze tool behavior — log analysis entries or view recent analyses |

| `cost` | Cost tracking — log cost data or view recent cost entries |

| `usage` | Usage monitoring — log usage metrics or view recent usage data |

| `optimize` | Optimize configurations — log optimization runs or view history |

| `test` | Test tool behavior — log test results or view recent tests |

| `report` | Report generation — log report entries or view recent reports |

| `stats` | Show summary statistics across all log categories (entry counts, data size, first entry date) |

| `export <fmt>` | Export all data in json, csv, or txt format to the data directory |

| `search <term>` | Full-text search across all log files (case-insensitive) |

| `recent` | Show the 20 most recent entries from the activity history log |

| `status` | Health check — show version, data directory, total entries, disk usage, and last activity |

| `help` | Show the full help message with all available commands |

| `version` | Print the current version string |

Each data command (configure, benchmark, compare, etc.) works in two modes:

  • **Without arguments**: displays the 20 most recent entries from that category
  • **With arguments**: saves the input as a new timestamped entry and reports the total count
  • Data Storage

    All data is stored in plain text files under the data directory:

  • **Category logs**: `$DATA_DIR/<command>.log` — one file per command (e.g., `configure.log`, `benchmark.log`, `prompt.log`), each entry is `timestamp|value`
  • **History log**: `$DATA_DIR/history.log` — audit trail of every command executed with timestamps
  • **Export files**: `$DATA_DIR/export.<fmt>` — generated by the `export` command in json, csv, or txt format
  • Default data directory: `~/.local/share/agent-toolkit/`

    Requirements

  • Bash (with `set -euo pipefail` support)
  • Standard Unix utilities: `grep`, `cat`, `date`, `echo`, `wc`, `du`, `head`, `tail`, `basename`
  • No external dependencies or API keys required
  • When to Use

    1. **Setting up agent workflows** — When you need to configure and log settings for agent tool integrations, API connections, or pipeline configurations

    2. **Benchmarking and comparing tools** — When you're evaluating different AI tools or agent frameworks and want to log performance metrics for comparison

    3. **Cost and usage optimization** — When you need to track API costs, token usage, and resource consumption across different tools to optimize spending

    4. **Fine-tuning and testing** — When running fine-tuning experiments or test suites and you want to log parameters, results, and observations

    5. **Cross-tool analysis and reporting** — When you need to search across all logged data, generate reports, or export results for stakeholder review

    Examples

    # Check toolkit status
    agent-toolkit status
    
    # Configure a new tool integration
    agent-toolkit configure "OpenAI API key rotated, new model endpoint: gpt-4o-2024-08"
    
    # Benchmark a tool
    agent-toolkit benchmark "LangChain ReAct agent: 94% task completion, 3.4s avg response time"
    
    # Compare two tools
    agent-toolkit compare "LangChain vs CrewAI: LangChain 20% faster setup, CrewAI better multi-agent coordination"
    
    # Log a prompt template
    agent-toolkit prompt "Tool-use system prompt v3: Added structured output format and error handling instructions"
    
    # Track costs
    agent-toolkit cost "Weekly API spend: OpenAI $12.30, Anthropic $8.50, total $20.80"
    
    # View recent benchmarks
    agent-toolkit benchmark
    
    # Search across all logs
    agent-toolkit search "LangChain"
    
    # Export all data as CSV
    agent-toolkit export csv
    
    # View summary statistics
    agent-toolkit stats
    
    # Show recent activity
    agent-toolkit recent

    Output

    All commands return output to stdout. Export files are written to the data directory:

    agent-toolkit export json   # → ~/.local/share/agent-toolkit/export.json
    agent-toolkit export csv    # → ~/.local/share/agent-toolkit/export.csv
    agent-toolkit export txt    # → ~/.local/share/agent-toolkit/export.txt

    Every command execution is logged to `$DATA_DIR/history.log` for auditing purposes.

    ---

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