AB notion-brain
Route high-value content into a Notion workspace with a quality gate, destination mapping, and exact MCP write patterns. ALWAYS trigger when the user says "save this to Notion", "put this in my brain", "add this to the knowledge base", "capture this for later", "log this in Notion", or any variation of saving, storing, or routing content to Notion. Also trigger when an agent produces a research summary, decision memo, project plan, status update, article draft, security audit, financial snapshot, weekly rollup, contact note, meeting prep, or other durable content that belongs in Notion. Trigger on mentions of a knowledge hub, Inbox DB, content hub, work hub, or finance hub as destinations. Skip for health workflows, property/equipment tracking, or workspace memory-only writes.
As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, progress reporting
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: 5. 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 70/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 90 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1681 tokens
- 100Running it twice. Mutating operations check current state
- low 12 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
- +4Description does not say when NOT to use the skill (false activations)
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 787: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 90 items
- +3Output format is stated explicitly
- +4Has examples (0 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.