BF alibabacloud-flink-python-coding
Use this skill when the user needs help with a Flink Python or PyFlink job, especially on Alibaba Cloud Realtime Compute for Apache Flink (VVR): write, modify, review, or debug PyFlink jobs; explain or select Flink Python APIs; resolve package or file dependencies for PyFlink jobs; or prepare PyFlink job deployment.
Use this skill when the user needs help with a Flink Python or PyFlink job, especially on Alibaba Cloud Realtime Compute for Apache Flink (VVR): write…
As a process F 57/100 · Will not run — References files that are not bundled: references/official-docs.md, references/python-dependencies.md, references/runtime-files.md
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/official-docs.md - warning
missing-refreference to a missing file: references/python-dependencies.md - warning
missing-refreference to a missing file: references/runtime-files.md - warning
missing-refreference to a missing file: references/project-layout.md - warning
missing-refreference to a missing file: references/verification-method.md - warning
missing-refreference to a missing file: references/handoff-deliverables.md - warning
missing-refreference to a missing file: references/platform-runtime.md - warning
missing-refreference to a missing file: assets/handoff/README.md.template - warning
missing-refreference to a missing file: references/related-commands.md - warning
missing-refreference to a missing file: references/ram-policies.md - warning
missing-refreference to a missing file: references/acceptance-criteria.md
Process rating: all ten parameters 57/100
- 0Tools and files. 11 referenced file(s) missing: references/official-docs.md, references/python-dependencies.md, references/runtime-files.md
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 28 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 50Failures and branches. 0 branches, has a failure section
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3024 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 317: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 15 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.