Autorag Query

What it does

When your agent uses it

• Pipeline comparison
• Metrics analysis

Example prompts

• “/autorag-query”

Requirements

• Python 3
• Pre-approved tools (allowed-tools): Bash, Read

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

1. 1Read references/schema.sql (understand tables)
2. 2Generate SQL
3. 3Execute: uv run python .agents/skills/autorag-query/scripts/query_executor.py --query "..."
4. 4Present: "hybrid_search_v2 has best BLEU: 0.85"

What it can do on your machine

Read from SKILL.md and the folder at commit a473cf0. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Bash
  • Read

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • uv

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Autorag Query loads about 1.6k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 385 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~71

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~6.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Bash, Read

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from NomaDamas/AutoRAG-Research at commit a473cf0, republished under its Apache-2.0 licence (© NomaDamas). 385 words, ~1,552 tokens.

name

autorag-query

description

Query AutoRAG-Research pipeline results using natural language. Converts questions to SQL, executes safely (SELECT-only), returns formatted results. Auto-detects DB connection from configs/db.yaml or env vars. Use for pipeline comparison, metrics analysis, token usage.

allowed-tools

Bash, Read

SELECT p.name, s.metric_result
FROM summary s
JOIN pipeline p ON s.pipeline_id = p.id
JOIN metric m ON s.metric_id = m.id
WHERE m.name = 'bleu'
ORDER BY s.metric_result DESC;

SELECT p.name,
       SUM((exe.token_usage->>'total_tokens')::int) AS total_tokens,
       AVG((exe.token_usage->>'total_tokens')::int) AS avg_per_query
FROM executor_result exe
JOIN pipeline p ON exe.pipeline_id = p.id
WHERE exe.token_usage IS NOT NULL
GROUP BY p.name
ORDER BY total_tokens DESC;

SELECT c.content, crr.score, crr.rank
FROM chunk_retrieved_result crr
JOIN chunk c ON crr.chunk_id = c.id
WHERE crr.query_id = :query_id AND crr.pipeline_id = :pipeline_id
ORDER BY crr.rank LIMIT 10;

{"prompt_tokens": 150, "completion_tokens": 50, "total_tokens": 200}

uv run python .agents/skills/autorag-query/scripts/query_executor.py \
  --query "SELECT ..." \
  --format table|json|csv \
  --timeout 10 \
  --limit 10000 \
  --database autorag_research  # optional

SELECT p.name, m.name, s.metric_result,
       RANK() OVER (PARTITION BY m.name ORDER BY s.metric_result DESC) AS rank
FROM summary s
JOIN pipeline p ON s.pipeline_id = p.id
JOIN metric m ON s.metric_id = m.id;

SELECT p.name,
       MAX(CASE WHEN m.name = 'bleu' THEN s.metric_result END) AS bleu,
       MAX(CASE WHEN m.name = 'rouge' THEN s.metric_result END) AS rouge
FROM summary s
JOIN pipeline p ON s.pipeline_id = p.id
JOIN metric m ON s.metric_id = m.id
GROUP BY p.name;

© NomaDamas, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in .agents/skills/autorag-query of NomaDamas/AutoRAG-Research.

• SKILL.md
• references/common-queries.md
• references/schema.sql
• scripts/query_executor.py

Open the folder on GitHubat commit a473cf0