←Leaderboard/Testing/skill
Last commit on May 22, 2026·Created on February 11, 2026

pinchbench/skill

“Automates the design and querying of Axiom observability dashboards and metrics”
Combined rank
#286
across all skills
In Testing
#4
category rank
Stars
1.4k
+0.5% in last 7d
Forks
160
-0.6% in last 7d
Watchers
13
0.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
TL;DR

This collection provides the technical patterns needed to interface with Axiom via API. It enables the programmatic creation of dashboards, including chart configuration and layout management, while facilitating migrations from legacy systems like Splunk.

Developers can use these skills to run metrics queries against MetricsDB, discover available tags, and investigate OTel metrics data through structured scripts.

WHO IT'S FOR
AI agent / automation builders
evaluate OpenClaw agent performance on real-world tasks
LLM researchers
compare model capabilities and submit leaderboard results
Observability engineers
build Axiom dashboards and query metrics via API
Platform / DevEx teams
migrate logging and monitoring from Splunk to Axiom
Repository contents

3 skill files

Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.

Use this skill collection

Follow the documented setup, then try a first task.

Setup

Clone the PinchBench skill for OpenClaw

Installs: Complete PinchBench benchmark skill repository · OpenClaw

Before you start
  • Python 3.10+
  • uv package manager
  • A running OpenClaw instance
  1. In a terminal, start in the directory where the repository should be created, then clone it and enter the resulting `skill` directory.

    git clone https://github.com/pinchbench/skill.git
    cd skill
README.md ↗ · Checked Oct 18, 2026SKILL.md ↗ · Checked Oct 18, 2026

Give it something to do.

Suggested first task

Run a small PinchBench sanity benchmark locally

Uses pinchbench

  • <skill_directory>: path to the cloned PinchBench skill directory
  • <provider/model>: provider-prefixed model identifier
  • Python 3.10+, uv, and a running OpenClaw instance
Use the pinchbench skill to run only `task_sanity` with `--no-upload` from <skill_directory>, using my provider-prefixed model ID <provider/model>. Report the locally saved result and do not register a token or upload anything.
SKILL.md ↗ · Checked Oct 18, 2026