online-evals
Attach judges to config variations for automatic LLM-as-a-judge evaluation.
Skill by launchdarklyOfficial
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/launchdarkly-online-evals
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: ml
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/online-evals
What's inside
- Skill name
online-evals- Description
- Attach judges to config variations for automatic LLM-as-a-judge evaluation. Create custom judges, configure sampling rates, and monitor quality scores.
- License
- NOASSERTION
- Compatibility
- Requires LaunchDarkly API access token with ai-configs:write permission. SDK versions Python v0.20.0+ or Node.js v0.20.0+ for automatic metric recording and the consolidated `track_judge_result` / `trackJudgeResult` API.
- Metadata
- author: launchdarkly · version: 0.1.0
- Instructions
- 446 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Agent Skills spec issues
- body: contains an absolute path from the author's machine
Files (2)
- README.md
- SKILL.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 28
- Forks
- 11
- Open issues
- 7
- Last commit (this folder)
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 0.1.0
- License
- NOASSERTION
- Repository
- github.com/launchdarkly/ai-tooling
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.752score
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built-in-metrics
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Instrument an existing codebase with LaunchDarkly config tracking.
SkillAFreshness: A★ 28Claude Code +9 - 0.748score
launchdarkly-flag-qualitative-feedback-setup
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Integrate LaunchDarkly qualitative user feedback into a JavaScript/TypeScript codebase.
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SkillAFreshness: A★ 28Claude Code +9 - 0.743score
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Create, track, retrieve, update, and delete custom business metrics for configs.
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Guide for setting up LaunchDarkly projects in your codebase.
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Done for you
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Cite this page
online-evals skill. Agent Mart. https://agentmart.dev/skills/launchdarkly-online-evals (last updated 2026-10-24)