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 lubridategit 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/lubridate)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/lubridate"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/lubridate/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/lubridate"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/lubridate.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 | $0.00652 |
| Opus 5 | $0.00014 | $0.00326 |
| Sonnet 5 | $0.00005 | $0.00130 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
lubridate 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
lubridate
Date-time manipulation.
Parsing
library(lubridate)
# Parse dates
ymd("2024-01-15")
mdy("01/15/2024")
dmy("15-01-2024")
ymd_hms("2024-01-15 10:30:00")
mdy_hm("01/15/2024 10:30")
# Parse with timezone
ymd_hms("2024-01-15 10:30:00", tz = "America/New_York")
# Parse multiple formats
parse_date_time(x, orders = c("ymd", "mdy", "dmy"))
Extract Components
dt <- ymd_hms("2024-01-15 10:30:45")
year(dt) # 2024
month(dt) # 1
day(dt) # 15
hour(dt) # 10
minute(dt) # 30
second(dt) # 45
wday(dt) # Day of week (1-7)
wday(dt, label = TRUE) # "Mon"
yday(dt) # Day of year
week(dt) # Week of year
quarter(dt) # Quarter
# Set components
year(dt) <- 2025
month(dt) <- 6
Rounding
# Round
round_date(dt, "hour")
round_date(dt, "day")
round_date(dt, "month")
# Floor/ceiling
floor_date(dt, "week")
ceiling_date(dt, "month")
Arithmetic
# Add/subtract
dt + days(5)
dt - weeks(2)
dt + months(3)
dt + years(1)
dt + hours(6) + minutes(30)
# Durations (exact)
dt + ddays(5)
dt + dweeks(2)
dt + dhours(48)
# Periods (calendar)
dt + period(months = 1, days = 15)
# Intervals
interval(start, end)
int <- ymd("2024-01-01") %--% ymd("2024-12-31")
int_start(int)
int_end(int)
int_length(int) # Seconds
dt %within% int
Timezones
# Get/set timezone
tz(dt)
with_tz(dt, "Europe/London") # Convert display
force_tz(dt, "Europe/London") # Change timezone
# List timezones
OlsonNames()
Helpers
# Current time
now()
today()
# Check
is.Date(x)
is.POSIXt(x)
leap_year(2024)
# Formatting
stamp("March 1, 1999")(dt)
stamp("3/1/99")(dt)
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 · 120 lines · 27 tokens per session scan A 679ac68f474f
lubridate 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 652 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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