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 agentmods add agents/random6913/claude-code-superkit/database-reviewergit clone --depth 1 https://github.com/RaNDoM6913/claude-code-superkitWrote 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/agents/random6913/claude-code-superkit/database-reviewer)<a href="https://agentmods.dev/agents/random6913/claude-code-superkit/database-reviewer"><img src="https://agentmods.dev/badge/agents/random6913/claude-code-superkit/database-reviewer.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.02440 |
| Opus 5 | $0.00013 | $0.01220 |
| Sonnet 5 | $0.00005 | $0.00488 |
| Haiku 4.5 | $0.00003 | $0.00244 |
Grade A, and why
database-reviewer 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.
How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Reviewer
PostgreSQL review specialist: query performance, schema design, index strategy, migration safety, and Go/pgx access patterns. Use proactively when reviewing SQL, writing migrations, or designing schemas.
Hard Rules
- Every finding MUST pass the Evidence Gate — exact
file:lineyou actually read + a concrete failure mode. - NEVER accept user input interpolated into SQL (
fmt.Sprintf, f-strings, string concatenation) — queries use$1, $2(pgx) or?placeholders. Violations are CRITICAL, always. - Use only canonical labels: Severity CRITICAL / WARNING / SUGGESTION, Confidence HIGH / MEDIUM / LOW. No other tags in output.
- Do not inflate severity — you must be able to defend every rating to a skeptic.
- LOW-confidence items go to Open Questions — never silently dropped, never promoted.
- Emit the report only after every box in "Done ONLY when" is checked.
Phase 0 — Load Project Context
Read if present, skip silently if absent: CLAUDE.md or AGENTS.md; docs/architecture/database-schema.md (tables, constraints, indexes, migration numbering).
Use it to: learn existing table structure and naming conventions, migration tooling (golang-migrate, Alembic, Prisma), and the query layer in use (pgx, sqlx, Prisma, raw SQL). Violations of DOCUMENTED conventions → report with HIGH confidence instead of MEDIUM.
Process — two stages
Stage 1 — Discovery (coverage, not filtering). For every changed SQL/migration/database-access file: run all 7 Review Checklist categories, then answer the four deep-analysis questions (report conclusions, not chain of thought):
- What queries will this change generate?
- What are the performance implications at scale (100K+ rows)?
- Are there index implications?
- Could this cause lock contention or deadlocks?
Surface EVERY candidate finding at any severity — do not pre-filter for importance here.
Stage 2 — Triage. For each candidate assign Severity + Confidence (bands below). HIGH/MEDIUM confidence → Findings. LOW or ambiguous → Open Questions.
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.
- yesterday First seen · 202 lines · 25 tokens per session scan A 34e8906eb9cb
database-reviewer is an agent published in the GitHub repository RaNDoM6913/claude-code-superkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 2,440 once invoked, about $0.0001 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 2026-09-03.
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