exploring-llm-evaluations
This skill investigates and manages AI observability evaluations in PostHog, covering three evaluation types: hog (code-based deterministic checks), llm_judge…
Identity proven by GitHub's verified organisation badge (PostHog)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- No license stated
- Pin
- e0fbf5epinned Oct 9, 2026
- Context cost
- about 5,500 tokenswhen the skill loads
- GitHub stars
- 88on posthog/ai-plugin
- Scripts
- None found
What it does
“Investigate AI observability evaluations — `hog` (deterministic code-based), `llm_judge` (LLM-prompt-based), and `sentiment` (user-message sentiment). Find existing evaluations, inspect their configuration, run them against specific generations, query individual results, and set up scheduled reports on an evaluation. Use when the user asks to debug why an evaluation is failing, surface common failure modes, compare results across filters, dry-run a Hog evaluator, prototype a new LLM-judge prompt, inspect sentiment classifications, or manage the evaluation lifecycle.”
Generated summary from the skill's own text
This skill investigates and manages AI observability evaluations in PostHog, covering three evaluation types: hog (code-based deterministic checks), llm_judge (LLM-prompted subjective scoring), and sentiment (user message sentiment classification). It enables finding evaluations, inspecting configurations, running them against specific generations, querying results, and setting up scheduled reports.
When to use it
- Debug why an evaluation is failing or producing unexpected results
- Prototype and test new hog or llm_judge evaluators before deployment
- Compare evaluation results across filters and time periods
- Dry-run Hog code against sample generations without saving
When not to
- When you need to modify the underlying generation model or prompt that produced the content being evaluated
- If the organization lacks AI data processing approval for llm_judge evaluations
Install
No license stated: install from the publisher's repository, and ask the author before you reuse or share it.
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add posthog/ai-plugin --skill exploring-llm-evaluationsInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install posthog/ai-plugin exploring-llm-evaluations@e0fbf5e742fb4242c4ea509b395b2e343642f0b7Installs the commit we checked (e0fbf5e).
Copy by hand
Download the folder at e0fbf5e and put it in .claude/skills/exploring-llm-evaluations for Claude Code and in .agents/skills/exploring-llm-evaluations for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Claude Code plugin
/plugin install posthog@claude-plugins-officialThe publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "exploring-llm-evaluations" by PostHog. Source, pinned to commit e0fbf5e742fb4242c4ea509b395b2e343642f0b7: https://github.com/posthog/ai-plugin/tree/e0fbf5e742fb4242c4ea509b395b2e343642f0b7/skills/exploring-llm-evaluations 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/exploring-llm-evaluations/ for Claude Code and .agents/skills/exploring-llm-evaluations/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Its license is restricted or not stated. Show me the license terms from the repository before you copy anything. Listing and checks: https://www.agentnative.dev/skills/posthog/exploring-llm-evaluations
SKILL.md at the pin
The license of this skill does not let us show its files here.
Files
- SKILL.md23 KB · 9de7487bebbf
1 file, 23 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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