AB azure-devops
Work with an Azure DevOps org via the az CLI — query sprint/assigned work items with WIQL, read a work item's description AND download+view its embedded screenshots, publish branches, and create PRs with configured house defaults (required reviewers, auto-complete, work item linked, one PR per repo). Reads org/project/reviewer settings from `.claude/azure-devops.json` and offers to create it on first use. Use this skill whenever the user says "pull my tasks", "my sprint work items", "what's assigned to me", "read task 12345", "read the work item", "get the screenshots from the work item", "link the PR to the work item", "set auto-complete", or mentions "azure devops", "az boards", "az repos" — even if they don't explicitly say "azure-devops skill". For "create a PR" defer to the create-pr skill (this skill is its Azure DevOps backend and supplies the PR mechanics). Do not use for GitHub repos (use gh) or for local git-only operations.
As a process B 72/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 72/100
- 0Progress reporting. Says nothing while it works
- 30Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 16 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 60Tools and files. Uses tools (git) that frontmatter does not declare
- 100Steps. 34 steps
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 5 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2105 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- high The skill tells the model to perform an irreversible action with no human approval
- low The response is described with custom markup (8 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
- +3Description length 948: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 13 example trigger phrases
- +4Description says when NOT to use the skill
- +4Structure: 14 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.