convex-migrate-rehearse

convex-migrate-rehearse is a skill for Claude Code, Codex from openclaw/clawhub. It costs 42 tokens per session (1,078 once invoked), scanned A, original, MIT.

A rehearsal process for changing a live Convex app's data structure on a preview copy before applying it to production. A production snapshot supplies test data, and the proven change can then be promoted.

In plain words
What is it for?
Use it to create or use a preview deployment, seed it from a production snapshot, run the schema change and data update, verify the result, and promote the tested change.
Why use it?
A schema change can fail when existing records do not match the new rules. Testing against a copy reveals those failures before the production app is changed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to create or use a preview deployment, seed it from a production snapshot, run the schema change and data update, verify the result, and promote the tested change.

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Install with agentmods
npx agentmods add skills/openclaw/clawhub/convex-migrate-rehearse
About the project

ClawHub is a public registry where OpenClaw users publish, version, search, and install text-based agent skills and OpenClaw packages. It provides web browsing, a CLI-oriented API, moderation, vector search, and artifact hosting for code plugins, bundle plugins, and experimental whole-agent packages. The catalogue skills and agents are entries that can be discovered or used through this registry.

openclaw/clawhub · 9,407 stars · on GitHub · clawhub.ai

Install

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.

Any agent
npx skills add openclaw/clawhub --skill convex-migrate-rehearse
Clone the repo
git clone --depth 1 https://github.com/openclaw/clawhub

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for convex-migrate-rehearse

README.md
[![agentmods](https://agentmods.dev/badge/skills/openclaw/clawhub/convex-migrate-rehearse/github.svg)](https://agentmods.dev/skills/openclaw/clawhub/convex-migrate-rehearse)
Your own site
<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-migrate-rehearse"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-migrate-rehearse/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.

agentmods 80×15 button for convex-migrate-rehearse

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-migrate-rehearse"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-migrate-rehearse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,078 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 14
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 16
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 17
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 18
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 20
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.01078
Opus 5 $0.00021 $0.00539
Sonnet 5 $0.00008 $0.00216
Haiku 4.5 $0.00004 $0.00108

Measured 10d ago against content hash 926947257c53, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

convex-migrate-rehearse 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 10d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/convex-migrate-rehearse/SKILL.md · 32 lines

How it starts

The opening of the file, as written. The whole thing — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rehearse a schema change on a preview before prod

A schema push on Convex validates every existing document against the new schema and FAILS the push if any row doesn't conform — a real data-conformance gate. The safe way to use that gate is to let it fail on a rehearsal copy, not on prod. This capability turns a preview deployment into that copy: seed it with a prod snapshot, push the new schema + run the backfill there, watch the gate, and only promote once it's green. It composes deploy-guard (target classification), migrate (the optional-then-tighten pattern), and @convex-dev/migrations (the batched, resumable backfill).

Workflow

  1. PRECONDITION: preview deployments need a Preview Deploy Key (dashboard → Project Settings → Deploy Keys → Preview) exported as CONVEX_DEPLOY_KEY before any --preview-create/--preview-name deploy — a plain npx convex login session cannot create previews, and this is a paid-tier feature. If no preview key is available, fall back to rehearsing on the personal dev deployment seeded with the snapshot, and say so.
  2. GUARD: deploy-guard — classify + announce the SOURCE (prod, being read) and the eventual TARGET (prod, being changed); get the fresh explicit yes for the prod promote up front and confirm the plan.
  3. SNAPSHOT the source data read-only: npx convex export --path snapshot.zip (from the deployment holding the real data; add --include-file-storage only if the migration touches files). This is a read; it changes nothing.
  4. CREATE the preview FROM THE PRE-CHANGE CODE — do this BEFORE editing schema.ts, so the preview starts on the schema the snapshot data already conforms to: npx convex deploy --preview-create migrate-<slug> (needs the preview key; auto-expires ~5 days). Seed it: npx convex import snapshot.zip --deployment migrate-<slug> (import targets a deployment by NAME with --deployment; there is no --preview-name flag on import). The import succeeds because the data still matches the old schema.
  5. REHEARSE on the preview, in the migrate order — each push is npx convex deploy --preview-name migrate-<slug> (re-deploys to the SAME preview, keeping its data; NOT convex dev, which targets personal dev): (a) make the new/changed field OPTIONAL and deploy — if existing rows violate it the push FAILS HERE on the copy with the offending shape; fix and re-push until green. (b) write a @convex-dev/migrations backfill and run it against the preview; verify every row is now valid. (c) tighten the validator (required / narrowed union) and deploy again — the gate now passes because the backfill ran.
  6. VERIFY on the preview: run the app's functions against the migrated data (MCP run/runOneoffQuery pointed at the preview, or a smoke query) to confirm behavior and shape.
  7. PROMOTE only on the fresh explicit yes from step 1: apply the SAME sequence to prod (optional schema → backfill → tighten). Because it already succeeded on prod-shaped data, the prod push repeats a proven run. Keep the snapshot as the rollback artifact (npx convex import snapshot.zip --replace --prod); state plainly that data written after the snapshot is lost, so keep the promote window short.
  8. CLEAN UP: the preview auto-expires; delete the local snapshot when done (it holds real data — treat it as sensitive, never commit it).

Read the full file on GitHub · 32 lines

Changes

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.

  1. 10d ago First seen · 32 lines · 42 tokens per session scan A 926947257c53

Subscribe to this mod's changes

convex-migrate-rehearse is a skill published in the GitHub repository openclaw/clawhub (9,407 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,078 once invoked, about $0.0002 per session on Opus 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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