database-expert

A database and data-architecture review agent for PostgreSQL, Redis, and Firestore. It examines queries, schemas, migrations, connections, caching, data models, and consistency choices.

In plain words
What is it for?
Use it to review schema design, query performance, migration safety, connection pooling, caching strategy, and consistency across these databases.
Why use it?
It helps find database design and operational problems before they cause slow queries, unsafe changes, connection failures, or inconsistent data.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/asiflow/hyper-claude-code/database-expert
Clone the repo
git clone --depth 1 https://github.com/asiflow/hyper-claude-code

Made for: Claude Code.

Per session 313 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,303 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00313 $0.06303
Opus 5 $0.00156 $0.03152
Sonnet 5 $0.00063 $0.01261
Haiku 4.5 $0.00031 $0.00630

Measured yesterday against content hash c1d459714f86, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

database-expert 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 yesterday.

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.

.claude/agents/database-expert.md · 384 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. yesterday First seen · 384 lines · 313 tokens per session scan A c1d459714f86

Subscribe to this mod's changes

database-expert is an agent published in the GitHub repository asiflow/hyper-claude-code (5 stars, last pushed 12d ago), with no licence file. It adds 313 tokens to every session and 6,303 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other agents, from other repositories

code-reviewer

Reviews code for project guideline compliance, bugs, and quality issues. Use after writing code, before commits, or before PRs. Specify files to review or defaults to unstaged git changes. High-confidence issues only (80+) to minimize noise.

coleam00/Archon · 53 tokens

codebase-analyst

Use proactively to understand HOW code works. Analyzes implementation details, traces data flow, and documents technical workings with precise file:line references. The more specific your request, the better the analysis.

coleam00/Archon · 46 tokens

silent-failure-hunter

Hunts for silent failures, inadequate error handling, and inappropriate fallbacks in code changes. Zero tolerance for swallowed errors. Use after implementing error handling, catch blocks, or fallback logic.

coleam00/Archon · 43 tokens

plan-creator

Use this agent to create comprehensive strategic plan documents combining business strategy and technical architecture. Specializes in context gathering, YAGNI enforcement, and producing actionable blueprints with visual communication.

e0ipso/strikethroo · 40 tokens

hatch3r-fixer

Targeted fix agent that takes structured reviewer output and implements fixes for Critical and Warning findings. Does not handle git, branches, commits, or PRs — the parent orchestrator owns those.

hatch3r/hatch3r · 38 tokens

hatch3r-edge-case-analyst

Domain edge-case + error-handling correctness specialist — enumerates functional edge cases across multi-entity feature wiring (uniqueness/identity collisions, state-machine transitions, null/empty/boundary, concurrency, partial failure) and coding-level error-handling gaps, then verifies none were dropped between…

hatch3r/hatch3r · 87 tokens