vf-performance SKILL.md skillA
vf-performance from veryfront/veryfront-code is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add veryfront/veryfront-code/vf-performance@git:20260320.9b86116Pins git:20260320.9b86116 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- veryfront/veryfront-code
- Path
.claude/skills/vf-performance/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260320.9b86116, committed Mar 20, 2026
- Size
- 9,178 bytes
- Repository stars
- 20
- License
- Apache-2.0
Use when reviewing code for performance issues, profiling hot paths, benchmarking before/after changes, or optimizing runtime, build, request latency, or bundle size.
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
# Veryfront Performance Review & Benchmark ## Overview This skill covers performance analysis across all layers of veryfront: runtime hot paths, request latency, build/compile time, and bundle size. Use it to identify regressions before they ship and to measure the impact of optimizations. **Core principle:** Measure first, optimize second. Never optimize without a baseline. ## When to Use - Before merging performance-sensitive PRs - When investigating latency complaints or slowdowns - After adding new middleware, transforms, or rendering paths - When modifying hot paths (SSR, data fetching, API routing, transforms) - When adding dependencies or changing build configuration --- ## Part 1: Performance Review Checklist Run through this checklist when reviewing code for performance. Flag items that apply. ### Runtime Hot Paths | Pattern | Risk | Where to Check | |---------|------|----------------| | Sync I/O in request path | Blocks event loop | API handlers, middleware, SSR | | `await` in a loop (N+1) | Multiplied latency | Data fetchers, module loaders | | Unbounded `Promise.all` | Memory spike | Batch operations, parallel fetches | …
Read the whole file at its exact version.
How to install
mdr add veryfront/veryfront-code/vf-performance@sha256:72749f8918627ad1The line at the top of this page pins the label git:20260320.9b86116, 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_cpybeev4pushrdwt)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Mar 20, 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 (9178 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
veryfront/veryfront-code · 20 stars · license Apache-2.0 · pushed 2026-10-31 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cpybeev4pushrdwt GET https://markdownregistry.com/api/v1/resolve?ref=veryfront/veryfront-code/vf-performance GET https://markdownregistry.com/api/v1/blob/72749f8918627ad1f7f1bc97dd609f41b8095486130c7cff6456aa52698071be
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.