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Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.

vercel-labs/agent-skills Agent Skills author: vercel-labs 80 files · 75 scripts body ≈ 4 168 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics…

As a process C 53/100 · Has gaps — References files that are not bundled: references/doctrine.md, references/voice.md, references/data-collection.md

ProcedureData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
72
Run on models
none yet
Process rating
C
53/100
Has gaps
References files that are not bundled: references/doctrine.md, references/voice.md, references/data-collection.md
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: RA-Skills

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token lib/extract-claims.mjs:122
    High-entropy token-like string (may be an id, hash or a credential)
    if (ment…tch(rec)) {
  • low Secrets in code secret-high-entropy-token lib/extract-claims.mjs:375
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    function ment…tch(rec) {
    quoted

A further 1 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/doctrine.md
  • warning missing-ref reference to a missing file: references/voice.md
  • warning missing-ref reference to a missing file: references/data-collection.md
  • warning missing-ref reference to a missing file: references/observability-plus.md
  • warning missing-ref reference to a missing file: references/candidates.md
  • warning missing-ref reference to a missing file: references/recommendations.md
  • warning missing-ref reference to a missing file: references/verification.md
  • warning missing-ref reference to a missing file: references/scoring.md
  • warning missing-ref reference to a missing file: references/scanner-patterns.md
  • warning missing-ref reference to a missing file: scripts/gate-investigations.mjs
  • warning missing-ref reference to a missing file: references/docs-library.json

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: references/doctrine.md, references/voice.md, references/data-collection.md
  • 0Tools and files. 11 referenced file(s) missing: references/doctrine.md, references/voice.md, references/data-collection.md
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4168 tokens
  • 100Steps. 60 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (3 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 566: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.