AB monday-ops
Agentic framework for operating monday.com workspaces via the Monday MCP connector. Use this skill whenever the user wants to interact with monday.com — creating boards, managing items/tasks, updating statuses, querying board data, building automations, generating sprint reports, triaging work, or performing any project management operation on monday.com. Trigger on phrases like "monday board", "create a task", "update status", "sprint summary", "move item", "board schema", "column values", "monday.com", "project board", "work tracker", "create a group", or any reference to managing work items, boards, columns, or workflows in monday.com. Also trigger when the user references a board ID, asks about task progress, or wants to automate monday.com workflows.
As a process B 73/100 · Nearly there — weak spots: result and completion, 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: 4. 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 73/100
- 0Result and completion. Does not say what the result is
- 30Running it twice. 22 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 26 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 2103 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- +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
- +5Description quotes 11 example trigger phrases
- +3Description length 765: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.