AC gmail-labeler
Gmail inbox triage, labeling, and safe archiving with gog plus a configurable lightweight LLM review layer. Use when building or running Gmail automation that separates actionable vs non-actionable mail, applies Gmail labels, archives low-value messages, keeps important human replies in Inbox, routes urgent items for notification, supports multilingual inboxes (English, Portuguese, Spanish), and needs a clean publishable skill with private local overlays kept outside the skill folder.
As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 12. 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 50/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 12 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 79 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1237 tokens
- 100Progress reporting. Reports progress
- low 10 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)
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +3Description length 489: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 79 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.