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 skills add fmind/dot --skill data-migrationgit clone --depth 1 https://github.com/fmind/dotWrote 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/fmind/dot/data-migration)<a href="https://agentmods.dev/skills/fmind/dot/data-migration"><img src="https://agentmods.dev/badge/skills/fmind/dot/data-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/fmind/dot/data-migration"><img src="https://agentmods.dev/badge/skills/fmind/dot/data-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 | $0.00024 | $0.00807 |
| Opus 5.5 | $0.00010 | $0.00323 |
| Sonnet 5.5 | $0.00005 | $0.00161 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
data-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 9d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Migration
Change persisted data while preserving its declared meaning and recovery path. django owns Django migration mechanics; production-readiness owns the launch decision, and duckdb owns ad-hoc analysis.
Workflow
- Inspect stored versions, reject unknown ones: inspect actual stored versions rather than inferring them from current code. Reject unsupported versions and malformed input with a recoverable error; do not silently reinterpret them.
- Choose the transition: use the project's migration engine for databases. For mixed deployed readers, expand compatibility, backfill, switch readers, then contract only after old readers are retired. For files or immutable archives, write a new versioned generation and retain the old one.
- Prepare recovery: take a consistent snapshot and prove it can be restored and read in isolation. Record disk needs, lock duration, the rollback cutoff, and treatment of writes after that cutoff. A schema downgrade is not necessarily data recovery.
- Implement resumably: use transactional units or atomic generation publication. Commit progress with the corresponding data, use stable identities, and make retries skip verified completed units. Bind checkpoints to input identity and migration version; reject a resume against changed input.
- Rehearse failures: use representative old data plus empty, malformed, Unicode, duplicate, and boundary-sized cases. Interrupt before and after data/checkpoint publication, resume, and compare with an uninterrupted result. Test a second invocation and old-reader compatibility where promised.
- Execute within scope: production mutation or intentional data loss requires its specific authority; prepare the migration diff, rehearsal results, duration, and recovery plan before requesting any missing approval. Preserve applied migration history.
- Verify and report: read the result through the application, check the declared invariants, inspect migration status, and report migrated, rejected, and unresolved units separately. Keep the old generation or backup until the retention decision is authorized.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago Changed · -1 lines 99b4b414085e
- 11d ago Changed e0037ce761e6
- 12d ago Changed · +4 tokens per session 0f1c2a83aa96
- 29d ago Changed · +1 lines · -14 tokens per session 2355bc70ddee
- 1mo ago Changed · +2 lines · +2 tokens per session 3e237f8926f8
- 1mo ago First seen · 37 lines · 32 tokens per session scan A 7e5495f374cb
data-migration is a skill published in the GitHub repository fmind/dot (11 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 807 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 2026-09-10.
Other skills, from other repositories
dotfiles-bootstrap
Bootstrap a workstation with the dotfiles framework. Takes a GitHub user / owner+repo / explicit clone URL and runs dot init (which shells out to chezmoi) with the right safety prompts. Honors the active agent profile (ask / plan / apply / audit) so it defaults to dry-run in safer modes and full apply in apply.
vibe
Delegate a coding task to a cheap AI model (Mistral Vibe by default, but any provider Vibe knows about — DeepSeek, Gemini Flash, etc.) and supervise the result via git diff. Claude orchestrates, the cheap model codes. Claude consumes 500-1500 tokens per delegation regardless of how many file reads the delegate does…
go-stack
Build Go projects, libraries, CLIs, TUIs, web apps, or ADK agents with the standard package layout and pinned tooling.
python-stack
Build typed Python projects with uv, Ruff, ty, pytest, Litestar, and Typer. Use for packages, CLIs, web apps, tests, typing, or API verification.
hugo
Canonical Hugo static-site stack with the Hextra docs theme — Hugo Modules, mise tasks, dprint, lefthook, and GitHub Pages deploy. Use for documentation sites, project docs, and static websites.
k8s-local
Create and manage local Kubernetes clusters (k3d or kind) and deploy to them with kubectl, helm, helmfile, and skaffold. Use for local k8s cluster setup, dev loops, and debugging.