SKILLEMALL.ai

AF alibabacloud-odps-maxframe-coding

Use this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.2 MIT-0 80 files body ≈ 4 997 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 50/100 · Will not run — References files that are not bundled: scripts/lookup_operator.py, references/maxframe-client-docs/user_guide/, references/maxframe-client-docs/user_guide/dataframe/supported_pd_apis.md

IntegrationDockerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: scripts/lookup_operator.py, references/maxframe-client-docs/user_guide/, references/maxframe-client-docs/user_guide/dataframe/supported_pd_apis.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: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/lookup_operator.py
  • warning missing-ref reference to a missing file: references/maxframe-client-docs/user_guide/
  • warning missing-ref reference to a missing file: references/maxframe-client-docs/user_guide/dataframe/supported_pd_apis.md
  • warning missing-ref reference to a missing file: references/practical-guides/
  • warning missing-ref reference to a missing file: references/runtime-image-guides/
  • warning missing-ref reference to a missing file: references/remote-debug-guide.md
  • warning missing-ref reference to a missing file: references/runtime-image-guides/README.md
  • warning missing-ref reference to a missing file: references/operators-and-modules/operator-selector.md
  • warning missing-ref reference to a missing file: assets/examples/*.py

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: scripts/lookup_operator.py, references/maxframe-client-docs/user_guide/, references/maxframe-client-docs/user_guide/dataframe/supported_pd_apis.md
  • 0Tools and files. 9 referenced file(s) missing: scripts/lookup_operator.py, references/maxframe-client-docs/user_guide/, references/maxframe-client-docs/user_guide/dataframe/supported_pd_apis.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
  • 30Running it twice. 15 mutating operations with no state check
  • 70Execution cost. Instruction body is 4997 tokens
  • 100Steps. 117 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 7 branches, has a failure section
  • 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 16 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (13 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 596: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 117 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (2 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
The skill is mostly coherent for MaxFrame/MaxCompute development, but it asks for overly broad agent-routing authority and includes high-impact cloud/data examples without enough safety scoping.
LLM: suspicious (high) · 2 Jun 2026