mongolite

mongolite is a skill for Claude Code, Codex from LeoLin990405/r-analytics-skill. It costs 23 tokens per session (947 once invoked), scanned A, original, MIT.

An R client for MongoDB, a database that stores records as document-shaped data rather than rows in fixed tables. It supports connecting to a collection and performing create, read, update, and delete operations.

In plain words
What is it for?
Inserting one or many documents, finding and filtering records, choosing returned fields, sorting and limiting results, and updating or deleting collection data.
Why use it?
It lets R programs work with MongoDB documents directly, including filtering, sorting, selecting fields, and paginating results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

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.

agentmods
npx agentmods add skills/leolin990405/r-analytics-skill/mongolite
Any agent
npx skills add LeoLin990405/r-analytics-skill --skill mongolite
Clone the repo
git clone --depth 1 https://github.com/LeoLin990405/r-analytics-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for mongolite

README.md
[![agentmods](https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/mongolite.svg)](https://agentmods.dev/skills/leolin990405/r-analytics-skill/mongolite)
Your own site
<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/mongolite"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/mongolite.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 947 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.00947
Opus 5 $0.00012 $0.00474
Sonnet 5 $0.00005 $0.00189
Haiku 4.5 $0.00002 $0.00095

Measured 5d ago against content hash 3bcb1ff62b91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

mongolite 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.

sub-skills/r-data/r-data-database/mongolite/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mongolite

MongoDB client for R.

Connection

library(mongolite)

# Connect to local MongoDB
con <- mongo(collection = "mycollection", db = "mydb")

# Connect with URI
con <- mongo(
  collection = "mycollection",
  db = "mydb",
  url = "mongodb://user:password@host:27017"
)

# With options
con <- mongo(
  collection = "mycollection",
  db = "mydb",
  url = "mongodb://localhost",
  options = ssl_options()
)

Insert

# Insert data frame
con$insert(df)

# Insert single document
con$insert('{"name": "John", "age": 30}')

# Insert multiple documents
con$insert(list(
  list(name = "John", age = 30),
  list(name = "Jane", age = 25)
))

Query

# Find all
df <- con$find()

# Find with query
df <- con$find('{"age": {"$gt": 25}}')

# Select fields
df <- con$find(fields = '{"name": 1, "age": 1, "_id": 0}')

# Sort
df <- con$find(sort = '{"age": -1}')

# Limit
df <- con$find(limit = 10)

# Skip (pagination)
df <- con$find(skip = 10, limit = 10)

# Combined
df <- con$find(
  query = '{"status": "active"}',
  fields = '{"name": 1, "email": 1}',
  sort = '{"created": -1}',
  limit = 100
)

Update

# Update one
con$update('{"name": "John"}', '{"$set": {"age": 31}}')

# Update many
con$update('{"status": "pending"}', '{"$set": {"status": "active"}}', multiple = TRUE)

# Upsert
con$update('{"name": "New"}', '{"$set": {"age": 20}}', upsert = TRUE)

# Replace document
con$replace('{"name": "John"}', '{"name": "John", "age": 32, "city": "NYC"}')

Delete

# Remove one
con$remove('{"name": "John"}', just_one = TRUE)

# Remove many
con$remove('{"status": "inactive"}')

# Remove all
con$remove('{}')

# Drop collection
con$drop()

Aggregation

# Aggregation pipeline
result <- con$aggregate('[
  {"$match": {"status": "active"}},
  {"$group": {"_id": "$category", "count": {"$sum": 1}}},
  {"$sort": {"count": -1}}
]')

# With multiple stages
result <- con$aggregate('[
  {"$match": {"date": {"$gte": {"$date": "2024-01-01"}}}},
  {"$project": {"year": {"$year": "$date"}, "amount": 1}},
  {"$group": {"_id": "$year", "total": {"$sum": "$amount"}}}
]')

Read the full file on GitHub · 179 lines

Changes

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.

  1. 5d ago First seen · 179 lines · 23 tokens per session scan A 3bcb1ff62b91

Subscribe to this mod's changes

mongolite is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 947 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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