AC todoist-api
Manages Todoist tasks, projects, sections, labels, comments, completed-task reports, activity logs, ID migration, project templates, and sync workflows through Todoist API v1. Use when the user asks to capture tasks, quick-add work, triage an inbox, resolve Todoist names to IDs, bulk-close or move tasks, add repeated comments, review completed work, manage project structure, export templates, or automate Todoist workflows.
As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, consistency, 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: 10. 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 63/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (todoist-api) differs from the folder (todoist-api-skill)
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Steps. 38 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Execution cost. Instruction body is 1329 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +2Single-language instructions
- +3Description length 426: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 38 items
- +3Output format is stated explicitly
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 2 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.