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/jsonlitenpx skills add LeoLin990405/r-analytics-skill --skill jsonlitegit 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/jsonlite)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/jsonlite"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/jsonlite.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 | $0.00022 | $0.00678 |
| Opus 5 | $0.00011 | $0.00339 |
| Sonnet 5 | $0.00004 | $0.00136 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
jsonlite 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 4d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
jsonlite
JSON parsing and generation.
Read JSON
library(jsonlite)
# From file
data <- fromJSON("file.json")
# From string
data <- fromJSON('{"name": "John", "age": 30}')
# From URL
data <- fromJSON("https://api.example.com/data")
# Options
data <- fromJSON("file.json",
simplifyVector = TRUE,
simplifyDataFrame = TRUE,
simplifyMatrix = TRUE,
flatten = TRUE
)
Write JSON
# To string
json <- toJSON(df)
json <- toJSON(df, pretty = TRUE)
# To file
write_json(df, "output.json")
write_json(df, "output.json", pretty = TRUE)
# Options
json <- toJSON(df,
pretty = TRUE,
auto_unbox = TRUE,
na = "null",
null = "null",
digits = 4,
Date = "ISO8601"
)
Data Frame Conversion
# Data frame to JSON
df <- data.frame(x = 1:3, y = c("a", "b", "c"))
toJSON(df)
# [{"x":1,"y":"a"},{"x":2,"y":"b"},{"x":3,"y":"c"}]
# Row-oriented
toJSON(df, dataframe = "rows")
# Column-oriented
toJSON(df, dataframe = "columns")
# {"x":[1,2,3],"y":["a","b","c"]}
# Values only
toJSON(df, dataframe = "values")
# [[1,"a"],[2,"b"],[3,"c"]]
Nested JSON
# Flatten nested
data <- fromJSON("nested.json", flatten = TRUE)
# Access nested elements
data$nested$field
data[["nested"]][["field"]]
# Unnest with tidyr
library(tidyr)
df %>% unnest_wider(nested_col)
Streaming
# Stream large files
stream_in(file("large.json"))
# Stream out
con <- file("output.json", open = "wb")
stream_out(df, con)
close(con)
# NDJSON (newline-delimited)
stream_in(file("data.ndjson"))
stream_out(df, file("output.ndjson"))
API Requests
# GET request
data <- fromJSON("https://api.example.com/data")
# With httr
library(httr)
resp <- GET("https://api.example.com/data")
data <- fromJSON(content(resp, "text"))
# POST with JSON body
resp <- POST(
"https://api.example.com/data",
body = toJSON(list(key = "value")),
content_type_json()
)
Validation
# Validate JSON
validate('{"valid": true}') # TRUE
validate('{invalid}') # FALSE
# Minify
minify('{ "x" : 1 }') # {"x":1}
# Prettify
prettify('{"x":1}')
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.
- 4d ago First seen · 138 lines · 22 tokens per session scan A 48074b3ad64e
jsonlite is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 678 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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