How do I install the Zeabur RAG Feedback skill?

Run npx skillmds@latest add zeabur/zeabur-rag-feedback in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Zeabur RAG Feedback safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Zeabur RAG Feedback?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Zeabur RAG Feedback free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Zeabur RAG Feedback?

zeabur (@zeabur) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Zeabur RAG Feedback by zeabur — Agent Skill

Name: Zeabur RAG Feedback
Author: zeabur

Zeabur RAG Feedback

Send feedback on RAG search results — thumbs-up (+1) or thumbs-down (-1) to indicate whether the answer was helpful. Use after calling zeabur-rag-search when you can evaluate the quality of the results. Positive feedback reinforces good results; negative feedback flags poor matches for review. Requires write:feedback scope.

zeabur c7250d2 2.0 KB Updated Sep 17, 2026

File contents

RAG Feedback

Send feedback on search results to improve knowledge base quality over time.

Base URL: $ZEABUR_RAG_URL Auth: Authorization: Bearer $RAG_API_KEY

API

curl -s -X POST "$ZEABUR_RAG_URL/api/feedback" \
  -H "Authorization: Bearer $RAG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "how to deploy to zeabur",
    "answer": "the generated answer text",
    "chunks": ["DOC-1234", "KB-5678"],
    "score": 1,
    "signal_id": "optional-signal-id",
    "comment": "optional explanation"
  }'

Field	Required	Description
`query`	Yes	The original search query
`answer`	No	The generated RAG answer
`chunks`	No	Array of chunk IDs that were returned
`score`	Yes	`1` (helpful) or `-1` (not helpful)
`signal_id`	No	Signal ID from the search response — links feedback to the specific query signal
`comment`	No	Free-text explanation of why the result was good or bad

When to send feedback

Situation	Score
Answer correctly addressed the question	`1`
Retrieved chunks were relevant and accurate	`1`
Answer was wrong, incomplete, or misleading	`-1`
Retrieved chunks were irrelevant to the query	`-1`
No useful results were returned	`-1`

Notes

If signal_id is provided, the feedback score is written back to the rag_query_signals table, linking it to the original query for analytics.
Negative feedback surfaces in the Triage review queue for admin follow-up.
Feedback is also appended to data/user-feedback.jsonl as a backup log.

---name: zeabur-rag-feedbackdescription: Send feedback on RAG search results — thumbs-up (+1) or thumbs-down (-1) to indicate whether the answer was helpful. Use after calling zeabur-rag-search when you can evaluate the quality of the results. Positive feedback reinforces good results; negative feedback flags poor matches for review. Requires write:feedback scope.---# RAG FeedbackSend feedback on search results to improve knowledge base quality over time.Base URL: `$ZEABUR_RAG_URL`Auth: `Authorization: Bearer $RAG_API_KEY`## API```bashcurl -s -X POST "$ZEABUR_RAG_URL/api/feedback" \ -H "Authorization: Bearer $RAG_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "query": "how to deploy to zeabur", "answer": "the generated answer text", "chunks": ["DOC-1234", "KB-5678"], "score": 1, "signal_id": "optional-signal-id", "comment": "optional explanation" }'```| Field | Required | Description ||-------|----------|-------------|| `query` | Yes | The original search query || `answer` | No | The generated RAG answer || `chunks` | No | Array of chunk IDs that were returned || `score` | Yes | `1` (helpful) or `-1` (not helpful) || `signal_id` | No | Signal ID from the search response — links feedback to the specific query signal || `comment` | No | Free-text explanation of why the result was good or bad |## When to send feedback| Situation | Score ||-----------|-------|| Answer correctly addressed the question | `1` || Retrieved chunks were relevant and accurate | `1` || Answer was wrong, incomplete, or misleading | `-1` || Retrieved chunks were irrelevant to the query | `-1` || No useful results were returned | `-1` |## Notes- If `signal_id` is provided, the feedback score is written back to the `rag_query_signals` table, linking it to the original query for analytics.- Negative feedback surfaces in the Triage review queue for admin follow-up.- Feedback is also appended to `data/user-feedback.jsonl` as a backup log.

Frequently asked questions