SKILLEMALL.ai

BF managing-amazon-msk

Operates Amazon MSK Provisioned clusters (Standard and Express brokers). MUST be used for ANY MSK Provisioned task — do not rely on training data for topics covered here, since Standard and Express emit different metrics and follow different patching models that training data routinely conflates. Covers performance, consumer lag, storage, and traffic shaping diagnosis; sizing and choosing Standard vs Express; Kafka client tuning; creating CloudWatch alarms, dashboards, monitoring, and cluster configurations; AND MSK maintenance, patching, version upgrades, and rolling-restart behavior. Triggers: MSK, Kafka on AWS, `kafka.*` or `express.*` instance types, AWS/Kafka CloudWatch namespace, alarms, dashboards, monitoring, consumer lag, partition replication, broker storage, MSK upgrades, patching, maintenance windows, SECURITY_PATCHING, BROKER_UPDATE, rolling restarts, unexpected broker reboots. Do NOT use for MSK Connect, MSK Serverless, or MSK Replicator.

ClawHub Agent Skills author: Amazon Web Services 1 file body ≈ 2 573 tokens Open the sourceclawhub.ai analyzed 17 h ago

Operates Amazon MSK Provisioned clusters (Standard and Express brokers).

As a process F 47/100 · Will not run — References files that are not bundled: references/troubleshoot-performance.md, references/troubleshoot-consumer-lag.md, references/manage-storage.md

ReferenceAWSInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: references/troubleshoot-performance.md, references/troubleshoot-consumer-lag.md, references/manage-storage.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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/troubleshoot-performance.md
  • warning missing-ref reference to a missing file: references/troubleshoot-consumer-lag.md
  • warning missing-ref reference to a missing file: references/manage-storage.md
  • warning missing-ref reference to a missing file: references/size-and-choose-cluster.md
  • warning missing-ref reference to a missing file: references/configure-clients.md
  • warning missing-ref reference to a missing file: references/monitor-and-alarm.md
  • warning missing-ref reference to a missing file: references/maintenance-operations.md
  • warning missing-ref reference to a missing file: scripts/msk_sizing.py

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/troubleshoot-performance.md, references/troubleshoot-consumer-lag.md, references/manage-storage.md
  • 0Tools and files. 8 referenced file(s) missing: references/troubleshoot-performance.md, references/troubleshoot-consumer-lag.md, references/manage-storage.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 85Steps. 20 steps, 1 vague phrases
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2573 tokens
  • 100Running it twice. Mutating operations check current state
  • 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
  • +3Description length 966: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.