SKILLEMALL.ai

BF processing-s3-uploads-with-step-functions

Deploy an event-driven workflow that routes S3 uploads to either Lambda or Fargate via Step Functions based on file size. Uses EventBridge to trigger a Step Functions state machine when objects are uploaded to S3. Small files are processed by Lambda, large files by a Fargate task. Includes VPC, ECR repository, ECS cluster, and scoped IAM roles. Trigger keywords: Step Functions, Fargate, Lambda, S3 event, EventBridge, ECS, ECR, file processing, workflow orchestration, serverless.

ClawHub Agent Skills author: Amazon Web Services 1 file body ≈ 3 819 tokens Open the sourceclawhub.ai analyzed 2 d ago

Deploy an event-driven workflow that routes S3 uploads to either Lambda or Fargate via Step Functions based on file size.

As a process F 56/100 · Will not run — References files that are not bundled: scripts/Dockerfile, scripts/fargate_processor.py, references/iam-roles.md

ProcedureDockerAWSInfrastructureSoftware developmenttype 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
56/100
Will not run
References files that are not bundled: scripts/Dockerfile, scripts/fargate_processor.py, references/iam-roles.md
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/Dockerfile
  • warning missing-ref reference to a missing file: scripts/fargate_processor.py
  • warning missing-ref reference to a missing file: references/iam-roles.md
  • warning missing-ref reference to a missing file: scripts/lambda_function.py
  • warning missing-ref reference to a missing file: references/ecs-task-definition.md
  • warning missing-ref reference to a missing file: scripts/statemachine.asl.json

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: scripts/Dockerfile, scripts/fargate_processor.py, references/iam-roles.md
  • 0Tools and files. 6 referenced file(s) missing: scripts/Dockerfile, scripts/fargate_processor.py, references/iam-roles.md
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 40 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 100 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3819 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 483: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 100 items
  • +4Has examples (8 code blocks)

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