How do I install the Leaderboard skill?

Run npx skillmds@latest add octo-patch/leaderboard in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Leaderboard safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Leaderboard?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Leaderboard free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Leaderboard?

octo-patch (@octo-patch) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Leaderboard by octo-patch — Agent Skill

Name: Leaderboard
Rating: 4.5 (4 reviews)
Author: octo-patch

File contents

Leaderboard Snapshot Tracker

Track AI model leaderboard rankings over time using SQLite snapshots. Detect new models, removed models, rank changes, and score changes between dates.

Supported Leaderboards

Leaderboard	URL	Modality
LMSYS Chatbot Arena	https://lmsys.org	Text, Vision
LMArena	https://lmarena.ai	Text, Vision
HuggingFace Open LLM	https://huggingface.co/spaces/open-llm-leaderboard	Text
Artificial Analysis	https://artificialanalysis.ai	Text, Image, Video
Scale AI SEAL	https://scale.com/leaderboard	Text

Usage

Save a snapshot

cd {SKILL_DIR} && python3 skills/leaderboard/scripts/leaderboard_snapshot.py save \
  --leaderboard "chatbot-arena" \
  --date 2026-04-14 \
  --data '[{"model": "claude-4-opus", "rank": 1, "score": 1350}]'

Prints the diff against the previous snapshot (new models, rank changes, score changes).

View latest snapshot

cd {SKILL_DIR} && python3 skills/leaderboard/scripts/leaderboard_snapshot.py latest \
  --leaderboard "chatbot-arena"

Data Storage

Snapshots are stored in ~/.cache/morning-ai/leaderboard.db (SQLite). Each entry has:

leaderboard — leaderboard identifier
model — model name
rank — position on the leaderboard
score — numeric score (ELO, accuracy, etc.)
snapshot_date — date of the snapshot

Integration with Main Workflow

This skill is currently a standalone utility. It can be integrated into the main morning-ai workflow as a Benchmark data source:

As a collector: Scrape leaderboard pages → save snapshot → diff against previous → generate TrackerItem entries for rank changes
As a report section: Add a "Leaderboard Movement" section to the daily report showing rank/score deltas

To integrate, a collector module (lib/leaderboard_collector.py) would:

Fetch current leaderboard data from supported sites
Call save_snapshot() to persist
Call diff_snapshot() to detect changes
Convert significant changes (new #1 model, big rank jumps) into TrackerItem objects with Benchmark type

---name: leaderboarddescription: Track AI model leaderboard rankings over time and detect rank/score changes between snapshots---# Leaderboard Snapshot TrackerTrack AI model leaderboard rankings over time using SQLite snapshots. Detect new models, removed models, rank changes, and score changes between dates.## Supported Leaderboards| Leaderboard | URL | Modality ||-------------|-----|----------|| LMSYS Chatbot Arena | https://lmsys.org | Text, Vision || LMArena | https://lmarena.ai | Text, Vision || HuggingFace Open LLM | https://huggingface.co/spaces/open-llm-leaderboard | Text || Artificial Analysis | https://artificialanalysis.ai | Text, Image, Video || Scale AI SEAL | https://scale.com/leaderboard | Text |## Usage### Save a snapshot```bashcd {SKILL_DIR} && python3 skills/leaderboard/scripts/leaderboard_snapshot.py save \ --leaderboard "chatbot-arena" \ --date 2026-04-14 \ --data '[{"model": "claude-4-opus", "rank": 1, "score": 1350}]'```Prints the diff against the previous snapshot (new models, rank changes, score changes).### View latest snapshot```bashcd {SKILL_DIR} && python3 skills/leaderboard/scripts/leaderboard_snapshot.py latest \ --leaderboard "chatbot-arena"```## Data StorageSnapshots are stored in `~/.cache/morning-ai/leaderboard.db` (SQLite). Each entry has:- `leaderboard` — leaderboard identifier- `model` — model name- `rank` — position on the leaderboard- `score` — numeric score (ELO, accuracy, etc.)- `snapshot_date` — date of the snapshot## Integration with Main WorkflowThis skill is currently a standalone utility. It can be integrated into the main morning-ai workflow as a Benchmark data source:1. **As a collector**: Scrape leaderboard pages → save snapshot → diff against previous → generate `TrackerItem` entries for rank changes2. **As a report section**: Add a "Leaderboard Movement" section to the daily report showing rank/score deltasTo integrate, a collector module (`lib/leaderboard_collector.py`) would:- Fetch current leaderboard data from supported sites- Call `save_snapshot()` to persist- Call `diff_snapshot()` to detect changes- Convert significant changes (new #1 model, big rank jumps) into `TrackerItem` objects with Benchmark type

Frequently asked questions

Leaderboard