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 skills add LeoLin990405/r-analytics-skill --skill dbplyrgit 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/dbplyr)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/dbplyr"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/dbplyr/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/dbplyr"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/dbplyr.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00027 | $0.00376 |
| Opus 5 | $0.00014 | $0.00188 |
| Sonnet 5 | $0.00005 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
dbplyr 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 9d 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
dbplyr Package
dplyr backend for databases with lazy evaluation.
Connect and Use
library(dplyr)
library(dbplyr)
library(DBI)
con <- dbConnect(RSQLite::SQLite(), "database.db")
# Reference table (lazy)
tbl_flights <- tbl(con, "flights")
# dplyr verbs (translated to SQL)
result <- tbl_flights %>%
filter(year == 2023) %>%
group_by(carrier) %>%
summarise(
n = n(),
avg_delay = mean(arr_delay, na.rm = TRUE)
) %>%
arrange(desc(n))
# View SQL
show_query(result)
# Execute and collect
df <- collect(result)
SQL Translation
# See generated SQL
tbl_flights %>%
filter(distance > 1000) %>%
select(carrier, flight, distance) %>%
show_query()
# Custom SQL
tbl(con, sql("SELECT * FROM flights WHERE year = 2023"))
Window Functions
tbl_flights %>%
group_by(carrier) %>%
mutate(
rank = row_number(),
pct = percent_rank()
) %>%
show_query()
Compute/Copy
# Create temp table from query
tbl_flights %>%
filter(month == 1) %>%
compute("jan_flights")
# Copy local df to database
copy_to(con, local_df, "new_table")
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.
- 9d ago First seen · 81 lines · 27 tokens per session scan A b13e760f9df4
dbplyr is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 376 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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