convex-optimize SKILL.md skillA
convex-optimize from openclaw/clawhub is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add openclaw/clawhub/convex-optimize@git:20260805.9009eaePins git:20260805.9009eae in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- openclaw/clawhub
- Path
.agents/skills/convex-optimize/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260805.9009eae, committed Aug 5, 2026
- Size
- 2,049 bytes
- Repository stars
- 9,549
- License
- MIT
Audit and optimize an existing Convex app: security, scale, upgrades, observability.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
<!-- GENERATED from convex-agents content/capabilities/optimize.json — do not edit by hand. --> # Audit and optimize an existing Convex app The remediation WORKFLOW for an existing app: open with a scored assessment, then act on it — upgrade stale components and set up observability — plan-then-confirm-then-apply. The assessment itself is delegated to launch-readiness (the findings-bus scorer); optimize's distinct value is the actions it takes on the result. ## Workflow 1. Detect the app: a `convex/` directory, the schema, and whether it's an anonymous or cloud deployment. 2. ASSESS via `launch-readiness` — one scored, deduped report across authz/reviewer/advisor/insights with an ordered fix plan. Do not re-run those passes by hand; optimize consumes launch-readiness's report rather than re-implementing the audit. 3. UPGRADE: run `check-updates` against the pinned `@convex-dev/*` components and fold stale-component (staleness-class) findings into the same plan. 4. OBSERVABILITY: if the readiness report flagged an observability gap (no prod error capture), offer to install `sentinel`. …
Read the whole file at its exact version.
How to install
mdr add openclaw/clawhub/convex-optimize@sha256:58115c49778c9d21The line at the top of this page pins the label git:20260805.9009eae, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_gvdu5zkjljwzqvmx)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Aug 5, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2049 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
openclaw/clawhub · 9,549 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gvdu5zkjljwzqvmx GET https://markdownregistry.com/api/v1/resolve?ref=openclaw/clawhub/convex-optimize GET https://markdownregistry.com/api/v1/blob/58115c49778c9d212ff2e68ee27b6263b384e10be1b8c34e7f97b6e4121eafe0
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.