Borrowing it
Nothing to install: this file belongs to AltimateAI/altimate-code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AltimateAI/altimate-code/main/.opencode/skills/schema-migration/SKILL.mdgit clone --depth 1 https://github.com/AltimateAI/altimate-codeWrote 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/altimateai/altimate-code/schema-migration)<a href="https://agentmods.dev/skills/altimateai/altimate-code/schema-migration"><img src="https://agentmods.dev/badge/skills/altimateai/altimate-code/schema-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/skills/altimateai/altimate-code/schema-migration"><img src="https://agentmods.dev/badge/skills/altimateai/altimate-code/schema-migration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.01025 |
| Opus 5.5 | $0.00014 | $0.00410 |
| Sonnet 5.5 | $0.00007 | $0.00205 |
| Haiku 4.5 | $0.00003 | $0.00103 |
Grade A, and why
schema-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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Schema Migration Analysis
Requirements
Agent: any (read-only analysis) Tools used: altimate_core_migration, altimate_core_schema_diff, schema_diff, read, glob, bash (for git operations)
When to Use This Skill
Use when the user wants to:
- Analyze a DDL migration for data loss risks before applying it
- Compare two schema versions to find breaking changes
- Review ALTER TABLE / CREATE TABLE changes in a PR
- Validate that a model refactoring doesn't break the column contract
Do NOT use for:
- Writing new models -> use
dbt-develop - Analyzing downstream impact of SQL logic changes -> use
dbt-analyze - Optimizing queries -> use
query-optimize
Workflow
1. Get the Schema Versions
For DDL migrations (ALTER TABLE, CREATE TABLE):
- Read the migration file(s) from disk
- The "old" schema is the current state; the "new" schema is after applying the migration
For dbt model changes (comparing before/after SQL):
# Get the old version from git
git show HEAD:<path/to/model.sql> > /tmp/old_model.sql
# The new version is the current file
For schema YAML changes:
- Read both versions of the schema.yml file
2. Analyze DDL Migration Safety
Call altimate_core_migration to detect data loss risks:
altimate_core_migration(old_ddl: <old_ddl>, new_ddl: <new_ddl>, dialect: <dialect>)
This checks for:
- Type narrowing: VARCHAR(100) -> VARCHAR(50) (truncation risk)
- NOT NULL without default: Adding NOT NULL column without DEFAULT (fails on existing rows)
- Dropped columns: Data loss if column has values
- Dropped constraints: Unique/check constraints removed (data integrity risk)
- Type changes: INTEGER -> VARCHAR (irreversible in practice)
- Index drops: Performance regression risk
3. Diff Schema Structures
For YAML/JSON schemas: Call altimate_core_schema_diff to compare two schema definitions:
altimate_core_schema_diff(schema1: <old_schema>, schema2: <new_schema>)
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 · 120 lines · 34 tokens per session scan A 4c88ec450264
schema-migration is a skill published in the GitHub repository AltimateAI/altimate-code (813 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 1,025 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 2026-08-30.
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