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 G1Joshi/Agent-Skills --skill hbasegit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/hbase)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/hbase"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/hbase/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/g1joshi/agent-skills/hbase"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/hbase.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 | $0.00017 | $0.00425 |
| Opus 5 | $0.00009 | $0.00212 |
| Sonnet 5 | $0.00003 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
hbase 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 9d 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 hbase — 7 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.
What it actually says
Apache HBase
HBase is the Hadoop database. It is a distributed, scalable, big data store. It provides random, real-time read/write access to your Big Data.
When to Use
- Hadoop Ecosystem: Deep integration with HDFS, Hive, Spark.
- Petabyte Scale: Serving billions of rows with low latency.
- Random Access: When you need random R/W on HDFS data (which is usually WORM - Write Once Read Many).
Quick Start
Uses Java API or Shell.
create 'users', 'info', 'data'
put 'users', 'row1', 'info:name', 'Alice'
get 'users', 'row1'
Core Concepts
Column Families
Data is grouped into column families (info:name, info:email). Families are stored physically together.
Region Servers
HBase scales by splitting tables into "Regions" and hosting them on Region Servers.
WAL & MemStore
Writes go to Write-Ahead-Log (Disk) and MemStore (RAM). When MemStore fills, it flushes to HFile (HDFS).
Best Practices (2025)
Do:
- Design Row Keys carefully: Row keys determine sorting and sharding. "Hotspotting" (sequential keys) is the enemy. Use salt or hashing.
- Pre-split Regions: Don't start with 1 region. Pre-split based on your known key distribution.
- Use Phoenix: Apache Phoenix provides a SQL skin over HBase, making it usable like a Relational DB.
Don't:
- Don't use for small data: The overhead of HDFS/ZimeKeeper/HBase is huge. Only for >TB scale.
- Don't scan excessively: Full table scans are MapReduce jobs.
References
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.
- 9d ago First seen · 56 lines · 17 tokens per session scan A 37fc29a6921a
hbase is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 17 tokens to every session and 425 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to hbase, differing in 7 lines, and is treated as a copy.
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PostgreSQL query performance — EXPLAIN ANALYZE, index design, pgstatstatements, slow query detection, connection pool tuning.
backup-restore
PostgreSQL backup and restore with pgBackRest — full/incremental/WAL, PITR, K8s CronJob scheduling, and restore verification.
migration-safety
Safe database migrations in production — expand-and-contract, lock-safe DDL, timing estimation, rollback SQL.
redis-operations
Redis operational runbooks — memory management, eviction policy, persistence config, Sentinel/Cluster, K8s-hosted Redis ops.