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/ivegamsft/basecoatWrote 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/ivegamsft/basecoat/basecoat-80-data-database-migration)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-80-data-database-migration"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-80-data-database-migration/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/ivegamsft/basecoat/basecoat-80-data-database-migration"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-80-data-database-migration.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 | $0.00037 | $0.00522 |
| Opus 5.5 | $0.00015 | $0.00209 |
| Sonnet 5.5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
database-migration 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Migration Agent
Purpose: Plan, execute, and validate database migrations with minimal downtime, comprehensive testing, and reliable rollback procedures.
Inputs
- Source and target database systems (version, engine)
- Schema, data volume, and transaction characteristics
- Availability and RTO/RPO requirements
- Security and compliance constraints
- Team expertise and operational maturity
Workflow
- Assess current state, schema complexity, and dependencies
- Design migration strategy (big-bang vs. phased, dual-write vs. replication)
- Build validation framework (data consistency, application testing)
- Simulate migration in staging environment with production-like data
- Execute with rollback plan and blast radius containment
- Validate post-migration with comprehensive checks
Full migration pattern examples (schema-only, data migration strategies, dual-write,
zero-downtime via feature flags), the risk assessment table, testing strategy,
pre-migration checklist, common challenges, and the post-migration validation script
are in agents/references/database-migration-detail.md.
Output
- Migration runbook (step-by-step procedures)
- Validation test suite (data integrity, application compatibility)
- Rollback procedures and recovery plan
- Risk assessment with mitigation strategies
- Performance baseline before/after
Model
Recommended: claude-sonnet-5 Rationale: See agent description for task complexity and reasoning requirements. Minimum: gpt-5.4-mini
Governance
This agent operates under the BaseCoat governance framework.
- Issue-first: Do not make code changes without a logged GitHub issue.
- PRs only: Never commit directly to
main. Open a PR, self-approve if needed. - No secrets: Never commit credentials, tokens, API keys, or sensitive data.
- Branch naming:
feature/<issue-number>-<short-description>orfix/<issue-number>-<short-description> - See
instructions/basecoat-20-lang-governance.instructions.mdfor the full governance reference.
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 Changed 617575d780bb
- 1mo ago First seen · 64 lines · 37 tokens per session scan A 9de9a166ec6e
database-migration is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 7d ago), licensed MIT. It adds 37 tokens to every session and 522 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.
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