SKILLEMALL.ai

BF launch-with-aws

Migrates vibe-coded web applications to AWS. Handles the full workflow from analysis through migration to deployment, producing deployable AWS Blocks infrastructure code. Supports full-stack apps built with vibe-coding platforms (Lovable, Bolt.new, Replit) and frontend web applications and websites: React, Vue, Angular, Next.js, Nuxt, Astro, SvelteKit, Gatsby, Vite, Svelte, Solid, Docusaurus, and others (static sites, SPAs, and SSR frameworks with static export). Triggers on: launch with AWS, launch on AWS, deploy to AWS, migrate to AWS, host my app on AWS, move my app to AWS, transfer my app to AWS. Activates when the user wants to migrate a vibe-coded app or frontend web app to AWS, even if they don't say 'migrate' explicitly.

ClawHub Agent Skills author: Amazon Web Services 1 file body ≈ 2 796 tokens Open the sourceclawhub.ai analyzed 12 h ago

Migrates vibe-coded web applications to AWS.

As a process F 59/100 · Will not run — References files that are not bundled: scripts/launch_with_aws.py, scripts/launch_config.py, scripts/auth.py

ProcedureAWSSupabaseGitHubPostgreSQLInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: scripts/launch_with_aws.py, scripts/launch_config.py, scripts/auth.py
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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 · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/launch_with_aws.py
  • warning missing-ref reference to a missing file: scripts/launch_config.py
  • warning missing-ref reference to a missing file: scripts/auth.py
  • warning missing-ref reference to a missing file: scripts/auth_callback_server.py
  • warning missing-ref reference to a missing file: scripts/launch_api_client.py
  • warning missing-ref reference to a missing file: scripts/archive.py
  • warning missing-ref reference to a missing file: references/launchwithaws-2026-06-15.json

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: scripts/launch_with_aws.py, scripts/launch_config.py, scripts/auth.py
  • 0Tools and files. 7 referenced file(s) missing: scripts/launch_with_aws.py, scripts/launch_config.py, scripts/auth.py
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 23 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 70Failures and branches. 4 branches
  • 100Steps. 22 steps
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2796 tokens
  • 100Progress reporting. Reports progress

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 738: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (13 code blocks)

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