Borrowing it
Nothing to install: this file belongs to jpicklyk/task-orchestrator. 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/jpicklyk/task-orchestrator/main/.claude/skills/migration-review/SKILL.mdgit clone --depth 1 https://github.com/jpicklyk/task-orchestratorWrote 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/jpicklyk/task-orchestrator/migration-review)<a href="https://agentmods.dev/skills/jpicklyk/task-orchestrator/migration-review"><img src="https://agentmods.dev/badge/skills/jpicklyk/task-orchestrator/migration-review/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/jpicklyk/task-orchestrator/migration-review"><img src="https://agentmods.dev/badge/skills/jpicklyk/task-orchestrator/migration-review.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 | $0.00047 | $0.01392 |
| Opus 5.5 | $0.00019 | $0.00557 |
| Sonnet 5.5 | $0.00009 | $0.00278 |
| Haiku 4.5 | $0.00005 | $0.00139 |
Grade A, and why
migration-review 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 5d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Migration Review Framework
Evaluate database migration safety for SQLite-specific constraints. This project uses Flyway migrations with SQLite, which has significant limitations compared to PostgreSQL/MySQL.
Step 1: Identify Schema Changes
Read the changed files and migration SQL to determine:
- New columns —
ALTER TABLE ADD COLUMNworks in SQLite - Modified columns — SQLite has NO
ALTER COLUMN. Requires table recreation:- Create new table with desired schema
- Copy data from old table
- Drop old table
- Rename new table
- New tables — a Flyway migration is the only place a table is defined (the Exposed table is a query mapping); there is no second table list to update
- Index changes —
CREATE INDEX/DROP INDEXwork normally
Step 2: SQLite Constraint Check
Verify against known SQLite limitations:
- No
ALTER COLUMN— if modifying existing columns, table recreation pattern is used - No
DROP COLUMNin older SQLite versions — check if the Docker image's SQLite supports it - Foreign key constraints — Flyway's connection runs with
foreign_keys = OFF(see the template below), so aDROP TABLEdoes not cascade; the application connection runs with it ON -
TEXTaffinity — SQLite stores all strings as TEXT regardless of declared type - No concurrent write transactions — migrations must be sequential
Step 3: Data Migration Strategy
For migrations that modify existing data:
- Existing rows handled — default values for new columns, or explicit data migration
- Null safety — new NOT NULL columns require a DEFAULT or data backfill
- Large table performance — SQLite locks the entire database during writes
- Runtime-dependent guarantees are probed, not assumed — see below
Guarantees that rest on engine runtime behavior need a multi-row probe. When the assessment claims an at-rest, security, or data-integrity guarantee that depends on a specific runtime/engine behavior (e.g. SQLite PRAGMA secure_delete, VACUUM page reuse, WAL checkpoint timing, FTS5 shadow-table residue), the assessment MUST specify a multi-row/multi-write empirical probe as part of the required test strategy — not a single-row assertion, which can read clean whether or not the mechanism works. It MUST NOT phrase the guarantee as absolute ("scrubbed", "removed") when only a probabilistic or partial mechanism is available ("reduces residue", "partial scrub"); once the probe exists, state the measured bound (e.g. "3–14 of 200 rows survive with the pragma, 200+ without").
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.
- 5d ago Changed · +13 lines 6ccbed89531d
- 28d ago Changed · +3 lines 62d1393ed30d
- 1mo ago First seen · 55 lines · 47 tokens per session scan A 86081aa7398e
migration-review is a skill published in the GitHub repository jpicklyk/task-orchestrator (210 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 1,392 once invoked, about $0.0002 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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