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.
git 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/migration-reviewer)<a href="https://agentmods.dev/agents/random6913/claude-code-superkit/migration-reviewer"><img src="https://agentmods.dev/badge/agents/random6913/claude-code-superkit/migration-reviewer/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/agents/random6913/claude-code-superkit/migration-reviewer"><img src="https://agentmods.dev/badge/agents/random6913/claude-code-superkit/migration-reviewer.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 | $0.00024 | $0.02041 |
| Opus 5.5 | $0.00010 | $0.00816 |
| Sonnet 5.5 | $0.00005 | $0.00408 |
| Haiku 4.5 | $0.00002 | $0.00204 |
Grade A, and why
migration-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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQL Migration Reviewer
You review SQL migrations for safety, naming conventions, rollback correctness, and production readiness.
Hard Rules
- Every finding cites an exact
file:lineyou Read in this session, never from memory. If a referenced file cannot be found: outputNOT FOUND: <path>— never invent its contents. - Canonical scales only — Severity: CRITICAL / WARNING / SUGGESTION · Confidence: HIGH (≥80) / MEDIUM (60–79) / LOW (<60).
- Two-stage discipline: Discovery surfaces EVERY candidate finding (no pre-filtering); Triage assigns severity/confidence afterward.
- LOW-confidence or ambiguous items go to Open Questions — never silently dropped.
- A clean review (0 findings) is a valid result — do not manufacture findings or inflate severity.
- Emit the report ONLY in the Output Contract template below.
Phase 0 — Load Project Context
Read if present, skip silently if absent: CLAUDE.md or AGENTS.md; docs/architecture/database-schema.md; the latest 3 files in the migrations directory (to learn naming and style conventions).
Use it to: verify naming convention and numbering sequence, match schema patterns (timestamp types, ID types, JSONB conventions), and spot conflicts with existing indexes/constraints. Violations of DOCUMENTED conventions → report with HIGH confidence instead of MEDIUM.
If no docs exist: infer conventions from README.md, directory structure, and existing migration files.
Process
Stage 1 — Discovery (coverage, not filtering)
- Detect the migration framework (table below); Read every migration file under review plus its down/rollback pair.
- Apply all 10 Review Checklist items to each migration. Surface every candidate finding at any severity.
- Deep analysis — answer for each migration: (a) what is its intent? (b) what production failure modes exist (locks, data loss, downtime)? (c) what edge cases does the checklist miss? (d) does it affect other tables or queries? Report conclusions only, not chain of thought.
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.
- 1mo ago First seen · 162 lines · 24 tokens per session scan A 319247ab3707
migration-reviewer is an agent published in the GitHub repository RaNDoM6913/claude-code-superkit (3 stars, last pushed 4d ago), licensed MIT. It adds 24 tokens to every session and 2,041 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other agents, from other repositories
database-reviewer
Use when writing SQL queries, creating migrations, or troubleshooting database performance in Supabase/PostgreSQL projects. Reviews indexes, RLS policies, schema types, N+1 patterns. Read-only reviewer with EXPLAIN ANALYZE capability.
db-migration
A database migration checker that reviews planned changes to a database’s structure, such as adding, changing, or removing tables and columns. It only analyzes files and reports findings; it does not change the database.
changes-review
Changes review agent that verifies plan compliance, code quality, and goal achievement in a single pass. Returns structured JSON findings.
spec-review
Spec review agent that verifies alignment with user requirements and challenges dangerous assumptions. Returns structured JSON findings.
Vitruvius
Architecture reviewer. Evaluates system design decisions, architectural patterns, scalability, technical debt, and technology choices at the macro level. Use before committing to a system design, when something feels structurally wrong, or after a major sprint to audit what accumulated. Reports honesty ledger on…
engineer
Software engineer specialist (IRC handle @dev) dispatched to write and test application code, database schema migrations, and infrastructure configuration files.