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BF developing-applications-on-managed-service-for-apache-flink

MANDATORY for Flink or Amazon Managed Service for Apache Flink (MSF) questions. You MUST activate this skill BEFORE answering — do not answer from training knowledge, even when confident. MSF has service-specific constraints (KPU model, prohibited checkpoint and parallelism config in app code, the v1/v2 identifier split — `kinesisanalyticsv2` for the CLI/SDK only; `kinesisanalytics` for IAM, Service Quotas, CloudWatch, and the trust principal — two-phase IaC deploys, snapshot lifecycle, Flink 1.x→2.x migration) that override generic Flink knowledge.

ClawHub Agent Skills author: Amazon Web Services 1 file body ≈ 1 972 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

MANDATORY for Flink or Amazon Managed Service for Apache Flink (MSF) questions.

As a process F 35/100 · Will not run — References files that are not bundled: references/best-practices.md, references/dependency-management.md, references/kinesis-connector-guide.md

ProcedureAWSSoftware developmentInfrastructureSales and CRMtype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/best-practices.md, references/dependency-management.md, references/kinesis-connector-guide.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/best-practices.md
  • warning missing-ref reference to a missing file: references/dependency-management.md
  • warning missing-ref reference to a missing file: references/kinesis-connector-guide.md
  • warning missing-ref reference to a missing file: references/environment-setup.md
  • warning missing-ref reference to a missing file: references/iceberg-connector-guide.md
  • warning missing-ref reference to a missing file: references/msf-overview.md
  • warning missing-ref reference to a missing file: references/msf-constraints-and-patterns.md
  • warning missing-ref reference to a missing file: references/foundation-operations.md
  • warning missing-ref reference to a missing file: references/flink-2x-migration.md
  • warning missing-ref reference to a missing file: references/resource-optimization.md
  • warning missing-ref reference to a missing file: references/scaling-decisions.md
  • warning missing-ref reference to a missing file: references/pricing-calculator.md
  • warning missing-ref reference to a missing file: references/application-lifecycle.md
  • warning missing-ref reference to a missing file: references/first-fault-isolation.md
  • warning missing-ref reference to a missing file: references/checkpoint-tuning.md
  • warning missing-ref reference to a missing file: references/job-graph-architecture.md
  • warning missing-ref reference to a missing file: references/job-graph-anti-patterns.md
  • warning missing-ref reference to a missing file: references/monitoring-and-metrics.md
  • warning missing-ref reference to a missing file: references/logging-configuration.md
  • warning missing-ref reference to a missing file: references/kinesis-efo-guide.md
  • warning missing-ref reference to a missing file: references/iceberg-tuning-and-operations.md
  • warning missing-ref reference to a missing file: references/cdc-connector-guide.md
  • warning missing-ref reference to a missing file: references/iac-and-deployment.md
  • warning missing-ref reference to a missing file: references/serialization-guide.md
  • warning missing-ref reference to a missing file: references/state-management.md
  • note frontmatter-key unknown frontmatter key "Triggers — activate on any of"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/best-practices.md, references/dependency-management.md, references/kinesis-connector-guide.md
  • 0Tools and files. 25 referenced file(s) missing: references/best-practices.md, references/dependency-management.md, references/kinesis-connector-guide.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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 8 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1972 tokens

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 555: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (2 code blocks)

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