Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ItamarZand88/awesome-agent-conventions --skill chdb-datastoregit clone --depth 1 https://github.com/ItamarZand88/awesome-agent-conventionsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/itamarzand88/awesome-agent-conventions/chdb-datastore)<a href="https://agentmods.dev/skills/itamarzand88/awesome-agent-conventions/chdb-datastore"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/chdb-datastore/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/itamarzand88/awesome-agent-conventions/chdb-datastore"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/chdb-datastore.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01408 |
| Opus 5 | $0.00000 | $0.00704 |
| Sonnet 5 | $0.00000 | $0.00282 |
| Haiku 4.5 | $0.00000 | $0.00141 |
Grade A, and why
chdb-datastore scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
92% identical to chdb-datastore — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: chdb-datastore
description: >-
Use when the user has tabular data (pandas DataFrame, parquet, csv,
Arrow, json) and wants to filter, group, aggregate, join, or speed
up slow pandas. Provides chDB DataStore — same pandas API,
ClickHouse engine underneath. Also handles reading from S3, MySQL,
PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as
DataFrames and joining across sources.
TRIGGER when: user mentions DataFrame, parquet, csv, "fast pandas",
"speed up pandas", or cross-source DataFrame joins; user imports
chdb.datastore or from datastore import DataStore.
SKIP this skill for raw SQL syntax (use chdb-sql instead),
ClickHouse server administration, or non-Python DataStore API work.
license: Apache-2.0
compatibility: Requires Python 3.9+, macOS or Linux. pip install chdb.
metadata:
author: chdb-io
version: "4.1"
homepage: https://clickhouse.com/docs/chdb
chdb DataStore — It's Just Faster Pandas
The Key Insight
# Change this:
import pandas as pd
# To this:
import chdb.datastore as pd
# Everything else stays the same.
DataStore is a lazy, ClickHouse-backed pandas replacement. Your existing pandas code works unchanged — but operations compile to optimized SQL and execute only when results are needed (e.g., print(), len(), iteration).
pip install chdb
Decision Tree: Pick the Right Approach
1. "I have a file/database and want to analyze it with pandas"
→ DataStore.from_file() / from_mysql() / from_s3() etc.
→ See references/connectors.md
2. "I need to join data from different sources"
→ Create DataStores from each source, use .join()
→ See examples/examples.md #3-5
3. "My pandas code is too slow"
→ import chdb.datastore as pd — change one line, keep the rest
4. "I need raw SQL queries"
→ Use the chdb-sql skill instead
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 148 lines · 0 tokens per session scan A f512369f5726
chdb-datastore is a skill published in the GitHub repository ItamarZand88/awesome-agent-conventions (31 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,408 tokens. A static security scan graded it A with 0 findings. It is 92% identical to chdb-datastore, differing in 3 lines, and is treated as a copy.
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