SKILLEMALL.ai

AC power-platform-custom-connector

Build Power Platform custom connectors (Independent Publisher and Verified Publisher) for Microsoft certification. Use when user says "create a custom connector", "build a Power Automate connector", "write apiDefinition.swagger.json", "configure apiProperties.json", "add x-ms-* extensions", "set up OAuth for a connector", "write script.csx custom code", "create a webhook trigger connector", "prepare connector for certification PR", "add dynamic dropdowns", "configure policy templates", or "submit connector to PowerPlatformConnectors repo". Capabilities; Swagger 2.0 OpenAPI definitions, 5 auth types, 13 policy templates, C# custom code,webhook triggers, dynamic values, Copilot Studio AI extensions, certification checklists, pac connector CLI. Do NOT use for generic REST API design, Azure API Management policies, or Logic Apps built-in connectors.

ClawHub Agent Skills author: Rick Wilson v1.0.0 MIT-0 10 files body ≈ 13 529 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, execution cost, running it twice

AnalyzerAzureSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 13529 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 61/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 84 mutating operations with no state check
  • 40Execution cost. Instruction body is 13529 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 197 steps
  • 100Failures and branches. 11 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 19 top-level sections: this looks like several domains in one skill

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

  • +3Description length 858: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 12 example trigger phrases
  • +4Description says when NOT to use the skill
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 197 items
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: clean
This is a documentation-only skill for building Microsoft Power Platform custom connectors, with sensitive credential handling that is expected and disclosed for that workflow.
LLM: benign (high) · VirusTotal: benign · 28 May 2026