SKILLEMALL.ai

BF migrate-to-msk

Helps migrate self-managed Apache Kafka workloads to Amazon MSK Express. Inventories the source cluster (from IaC files, Kafka CLI output, or manual input), assesses MSK Express compatibility across topology, Kafka version, configs, auth, and quotas, produces a target Express specification (instance type, broker count, monthly cost) by filling the AWS-published MSK Sizing/Pricing workbook, and guides migration execution using MSK Replicator. Applicable when the user mentions migrating Kafka, MSK, MSK Express, Kafka migration, analyzing Kafka infrastructure, moving to MSK, moving streaming platform to MSK, streaming migration, moving streaming workloads to AWS, MSK workload compatibility, MSK cluster sizing, choosing an MSK cluster type, or MSK Replicator.

ClawHub Agent Skills author: Amazon Web Services 1 file body ≈ 4 102 tokens Open the sourceclawhub.ai analyzed 25 h ago

Helps migrate self-managed Apache Kafka workloads to Amazon MSK Express.

As a process F 59/100 · Will not run — References files that are not bundled: references/assessment-compatibility.md, references/simulation.md, references/assessment-sizing.md

IntegrationAWSExcelDockerKubernetesInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: references/assessment-compatibility.md, references/simulation.md, references/assessment-sizing.md
Tools and files w 18
0
Progress reporting w 2
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: references/assessment-compatibility.md
  • warning missing-ref reference to a missing file: references/simulation.md
  • warning missing-ref reference to a missing file: references/assessment-sizing.md
  • warning missing-ref reference to a missing file: scripts/simulation_load_test_config.py
  • warning missing-ref reference to a missing file: assets/simulation-stack.yaml
  • warning missing-ref reference to a missing file: references/discovery.md
  • warning missing-ref reference to a missing file: scripts/compatibility.py
  • warning missing-ref reference to a missing file: scripts/sizing.py

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: references/assessment-compatibility.md, references/simulation.md, references/assessment-sizing.md
  • 0Tools and files. 8 referenced file(s) missing: references/assessment-compatibility.md, references/simulation.md, references/assessment-sizing.md
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 9 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4102 tokens
  • 85Steps. 40 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (17 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)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 765: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 40 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.