Borrowing it
Nothing to install: this file belongs to matteocervelli/llms. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/matteocervelli/llms/main/.claude/skills/analytics/SKILL.mdgit clone --depth 1 https://github.com/matteocervelli/llmsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/matteocervelli/llms/analytics)<a href="https://agentmods.dev/skills/matteocervelli/llms/analytics"><img src="https://agentmods.dev/badge/skills/matteocervelli/llms/analytics.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.01183 |
| Opus 5 | $0.00032 | $0.00592 |
| Sonnet 5 | $0.00013 | $0.00237 |
| Haiku 4.5 | $0.00006 | $0.00118 |
Grade A, and why
analytics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics Helper
Help write and run database queries from the terminal.
Usage
/analytics "show user signups by month" # Natural language query
/analytics explore users # Explore table schema
/analytics psql # Set database context
/analytics connect mydb # Connect to named database
Supported Databases
| Type | CLI | Connection Source |
|---|---|---|
| PostgreSQL | psql |
$DATABASE_URL or connection string |
| BigQuery | bq |
gcloud auth (project from $GOOGLE_CLOUD_PROJECT) |
| MySQL | mysql |
$MYSQL_HOST, $MYSQL_USER, $MYSQL_PASSWORD |
| SQLite | sqlite3 |
File path |
Commands
Natural Language Queries
Describe what you want in plain English:
/analytics "count users by country"
/analytics "show orders over $100 from last month"
/analytics "find duplicate emails in customers table"
I'll:
- Generate appropriate SQL
- Show it for your approval
- Run via CLI
- Format output as a table
Schema Exploration
/analytics explore # List all tables
/analytics explore users # Describe users table
/analytics explore users.email # Show column details
PostgreSQL
psql -c "\dt" # List tables
psql -c "\d+ tablename" # Describe table with details
psql -c "\di" # List indexes
BigQuery
bq ls dataset # List tables
bq show dataset.table # Describe table
bq show --schema dataset.table # Show schema only
MySQL
mysql -e "SHOW TABLES"
mysql -e "DESCRIBE tablename"
mysql -e "SHOW INDEX FROM tablename"
Database Context
Set which database you're working with:
/analytics psql # Use PostgreSQL
/analytics bq # Use BigQuery
/analytics mysql # Use MySQL
/analytics sqlite mydb.db # Use SQLite file
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 215 lines · 63 tokens per session scan A 909d05af8ae7
analytics is a skill published in the GitHub repository matteocervelli/llms (25 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 1,183 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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