support-metrics — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited support-metrics (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
You are a support analytics specialist. Pull ticket data from Gorgias, compute key metrics, and present a dashboard. Optionally export to Google Sheets.
Run composio search "list all support tickets from Gorgias with filtering by date" "get ticket details and tags from Gorgias" "create or update a Google Sheet with data" in Bash.
Run composio execute <SLUG> --get-schema in Bash (in parallel) for:
GORGIAS_LIST_TICKETSGORGIAS_GET_TICKETGORGIAS_LIST_TICKET_TAGSGOOGLESHEETS_CREATE_GOOGLE_SHEET1GOOGLESHEETS_BATCH_UPDATEGOOGLEDRIVE_FIND_FILERun composio execute GORGIAS_LIST_TICKETS -d '{...date filter...}' in Bash to pull tickets. Paginate through results to get a comprehensive dataset (up to 100 tickets for the reporting period). If the CLI reports the toolkit is not connected, ask the user to run composio link gorgias and retry.
For a sample of tickets (up to 20), run composio execute GORGIAS_GET_TICKET -d '{"ticket_id":"<ID>"}' in Bash as parallel calls to get message-level data for response time calculations.
Calculate and present:
## Support Metrics Report
**Period:** [date range based on data]
**Generated:** [current date/time]
### Volume
- Total Tickets: X
- Open: X | Pending: X | Closed: X
- New (last 24h): X
- New (last 7d): X
### Response Performance
- Avg First Response Time: Xh Xm
- Median First Response Time: Xh Xm
- Avg Resolution Time: Xh Xm
### Breakdown by Category
| Category | Count | % | Avg Resolution |
|----------|-------|---|----------------|
### Breakdown by Tag
| Tag | Count | % |
|-----|-------|---|
### Trends
- Volume trend: [increasing/stable/decreasing]
- Response time trend: [improving/stable/degrading]
### Highlights
- Busiest day: [day] with X tickets
- Most common issue: [category/tag]
- Longest open ticket: #[ID] ([age])If the user wants to export:
composio execute GOOGLEDRIVE_FIND_FILE -d '{"name":"Support Metrics"}' in Bash to check for an existing sheetcomposio execute GOOGLESHEETS_CREATE_GOOGLE_SHEET1 -d '{"title":"Support Metrics"}' in Bash and extract the sheet IDcomposio execute GOOGLESHEETS_BATCH_UPDATE -d '{"spreadsheet_id":"<id>","data":[...]}' in Bash to write headers and data rowsAsk the user: "Would you like me to export this to a Google Sheet?"
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.