Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/leolin990405/r-analytics-skill/odbcnpx skills add LeoLin990405/r-analytics-skill --skill odbcgit clone --depth 1 https://github.com/LeoLin990405/r-analytics-skillWrote 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/leolin990405/r-analytics-skill/odbc)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/odbc"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/odbc.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 | $0.00023 | $0.00340 |
| Opus 5 | $0.00012 | $0.00170 |
| Sonnet 5 | $0.00005 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
odbc 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 5d 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.
What it actually says
odbc Package
ODBC database connections.
Connect
library(DBI)
library(odbc)
# DSN connection
con <- dbConnect(odbc(), dsn = "MyDSN")
# Connection string
con <- dbConnect(odbc(),
Driver = "SQL Server",
Server = "server.example.com",
Database = "mydb",
UID = "user",
PWD = "password"
)
# List available drivers
odbcListDrivers()
# List DSNs
odbcListDataSources()
SQL Server
con <- dbConnect(odbc(),
Driver = "ODBC Driver 17 for SQL Server",
Server = "server.example.com",
Database = "mydb",
UID = "user",
PWD = "password",
Port = 1433
)
MySQL/MariaDB
con <- dbConnect(odbc(),
Driver = "MySQL ODBC 8.0 Driver",
Server = "localhost",
Database = "mydb",
UID = "user",
PWD = "password"
)
Basic Operations
# Query
df <- dbGetQuery(con, "SELECT * FROM table")
# Write
dbWriteTable(con, "new_table", df)
# Execute
dbExecute(con, "UPDATE table SET col = 'value'")
Disconnect
dbDisconnect(con)
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.
- 5d ago First seen · 78 lines · 23 tokens per session scan A 1a401f767cf5
odbc is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 340 once invoked, about $0.0001 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 2026-08-31.
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