Install
$ agentstack add skill-leolin990405-r-analytics-skill-jsonlite ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
jsonlite
JSON parsing and generation.
Read JSON
library(jsonlite)
# From file
data % 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}')
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: LeoLin990405
- Source: LeoLin990405/r-analytics-skill
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.