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…
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.”
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-evalInstalls 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@a0b1d2b65a5912722493abf68243d62d5d409809Installs 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.
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
- SKILL.md20 KB · 2cf2bf52e455
1 file, 20 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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