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/writexlnpx skills add LeoLin990405/r-analytics-skill --skill writexlgit 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/writexl)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/writexl"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/writexl.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 | $0.00025 | $0.00191 |
| Opus 5 | $0.00013 | $0.00096 |
| Sonnet 5 | $0.00005 | $0.00038 |
| Haiku 4.5 | $0.00003 | $0.00019 |
Grade A, and why
writexl 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
writexl Package
Write Excel files without Java dependency.
Basic Usage
library(writexl)
# Single sheet
write_xlsx(df, "output.xlsx")
# Multiple sheets
write_xlsx(
list(
Sheet1 = df1,
Sheet2 = df2,
Results = df3
),
"output.xlsx"
)
Options
write_xlsx(
df,
path = "output.xlsx",
col_names = TRUE, # Include headers
format_headers = TRUE # Bold headers
)
With Pipes
library(dplyr)
mtcars %>%
filter(mpg > 20) %>%
write_xlsx("filtered.xlsx")
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 · 49 lines · 25 tokens per session scan A 121a147d6497
writexl is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 191 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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