Agent Native

vectara-hallucination-and-eval

This skill helps developers measure and reduce hallucinations in Vectara RAG pipelines using four distinct tools: HHEM for factual consistency scoring, the…

by VectaraOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (vectara)

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode
License
No license stated
Pin
a0b1d2bpinned Oct 9, 2026
Context cost
about 4,900 tokenswhen the skill loads
GitHub stars
0on vectara/agent-skills
Scripts
None found

What it does

“Score factual consistency with HHEM, rewrite ungrounded sentences with Vectara Hallucination Corrector, inspect query/agent traces in-console, and run offline RAG evaluation with the open-source Open RAG Eval Python toolkit. Covers when each surface is the right tool and how they compose end-to-end.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill helps developers measure and reduce hallucinations in Vectara RAG pipelines using four distinct tools: HHEM for factual consistency scoring, the Vectara Hallucination Corrector for rewriting unsupported claims, in-console query observability for debugging, and Open RAG Eval for offline benchmark testing. It explains when to use each tool, how they compose together, and common mistakes to avoid.

When to use it

  • Score if generated text is grounded in retrieved passages with HHEM
  • Rewrite flagged generations to remove unsupported claims with VHC
  • Debug past queries or per-stage latency in the Vectara console
  • Benchmark model/reranker changes offline before deployment

When not to

  • Just building an agent or running queries without evaluation needs
  • Expecting HHEM score to indicate real-world correctness, not groundedness
  • Using VHC to invent facts missing from source documents

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 vectara/agent-skills --skill vectara-hallucination-and-eval

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install vectara/agent-skills vectara-hallucination-and-eval@a0b1d2b65a5912722493abf68243d62d5d409809

Installs the commit we checked (a0b1d2b).

Copy by hand

Download the folder at a0b1d2b and put it in .claude/skills/vectara-hallucination-and-eval for Claude Code and in .agents/skills/vectara-hallucination-and-eval for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at a0b1d2b

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 "vectara-hallucination-and-eval" by Vectara.

Source, pinned to commit a0b1d2b65a5912722493abf68243d62d5d409809:
https://github.com/vectara/agent-skills/tree/a0b1d2b65a5912722493abf68243d62d5d409809/skills/hallucination-and-eval

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/vectara-hallucination-and-eval/ for Claude Code and .agents/skills/vectara-hallucination-and-eval/ 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/vectara/vectara-hallucination-and-eval

SKILL.md at the pin

The license of this skill does not let us show its files here.

Files

1 file, 20 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at a0b1d2b
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The skills listed here are third-party software, collected from public GitHub repositories as a catalog of recent skills and provided as is. Agent Native does not write or control them and is not responsible for any harm, loss or damage caused by installing or using them. Labels and checks describe what we saw at one commit and are not a guarantee. Read a skill's files before you run it. Terms of use