Slash Command

Report

Generate comprehensive terminal report of AI experiments

Type: Slash Command
Repository: jeremylongshore/tons-of-skills-marketplace
GitHub stars: 2.8k
License: MIT
Repo last updated: Sep 27, 2026
Source file: plugins/mcp/ai-experiment-logger/commands/report.md

What Report is

Report is a slash command published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.

Report gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.

How to install Report

Claude Code

Download report.md from the repository.
Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
Run it by typing / followed by its name.

Claude Cowork

Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
In Customize → Skills, click +, then upload the ZIP.
Run it from any task with / and the skill name.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/mcp/ai-experiment-logger/commands/report.md, shared under the repository's MIT license. Read the full file on GitHub.

When the user runs /ai-report, generate a comprehensive, well-formatted terminal report of their AI experiments.

Report Sections

1. Summary Statistics

Display at the top:

╔══════════════════════════════════════════════════════════════╗
║           AI EXPERIMENT LOGGER - SUMMARY REPORT              ║
╚══════════════════════════════════════════════════════════════╝

📊 OVERVIEW
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Total Experiments: [count]
Average Rating: [X.XX] ⭐
Date Range: [earliest] → [latest]

2. Top Performing AI Tools

Show the top 5 AI tools by average rating:

🏆 TOP AI TOOLS BY PERFORMANCE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. ChatGPT o1-preview    ⭐ 4.85 avg  (20 experiments)
2. Claude Sonnet 3.5     ⭐ 4.75 avg  (18 experiments)
3. Gemini Pro           ⭐ 4.20 avg  (12 experiments)

3. Rating Distribution

Show distribution visually:

⭐ RATING DISTRIBUTION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
5 stars ████████████████████████████ (28)
4 stars ████████████████████ (20)
3 stars ██████████ (10)
2 stars ████ (4)
1 star  ██ (2)

4. Most Used Tags

Show top 10 tags:

🏷️  POPULAR TAGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
code-generation (15)    debugging (12)         research (10)
creative-writing (8)    data-analysis (7)      testing (6)

5. Recent Activity

Show last 7 days:

📈 RECENT ACTIVITY (Last 7 Days)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
2025-10-13: ████████ (8 experiments)
2025-10-12: ██████ (6 experiments)
2025-10-11: ████ (4 experiments)

6. Latest Experiments

Show the 5 most recent:

📝 LATEST EXPERIMENTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Oct 13, 2:30 PM] ChatGPT o1-preview ⭐⭐⭐⭐⭐
  Prompt: Write a Python function to calculate Fibonacci
  Tags: code-generation, python

[Oct 13, 1:15 PM] Claude Sonnet 3.5 ⭐⭐⭐⭐
  Prompt: Debug React useState issue with async
  Tags: debugging, react, javascript

Data Sources

Use the get_statistics and list_experiments MCP tools to gather all data.

Optional Filters

Support these filters via arguments:

/ai-report tool:ChatGPT - Show report for specific tool
/ai-report tag:code-generation - Show report for specific tag
/ai-report days:30 - Show last 30 days only
/ai-report rating:5 - Show only 5-star experiments

Error Handling

If no experiments exist:

╔══════════════════════════════════════════════════════════════╗
║           AI EXPERIMENT LOGGER - SUMMARY REPORT              ║
╚══════════════════════════════════════════════════════════════╝

📊 NO EXPERIMENTS YET

Get started by logging your first AI experiment:
  /log-exp

Or use the MCP tool directly:
  Use the log_experiment tool

Implementation Notes

Use Unicode box drawing characters for clean terminal output
Ensure all sections are properly aligned
Use emoji for visual appeal but keep it professional
Calculate percentages and averages with 2 decimal precision
Sort all rankings by count/rating descending
Format dates in user-friendly format (Oct 13, 2:30 PM)

Before you install

Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
Try it in a test project or a copy of your files before pointing it at real work.
Pin the version you tested, and review changes before updating.
Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Report?

Report is a slash command for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Generate comprehensive terminal report of AI experiments

How do I install Report in Claude Code?

Download report.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name.

Can I use Report in Claude Cowork?

Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.

Is Report safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.