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 usethisgit 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/usethis)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/usethis"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/usethis.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 5.1 | $0.00027 | $0.00390 |
| Opus 5 | $0.00014 | $0.00195 |
| Sonnet 5 | $0.00005 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
usethis 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 3d 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
usethis Package
Workflow automation for R packages and projects.
Create Package
library(usethis)
# New package
create_package("mypackage")
# New project
create_project("myproject")
Package Setup
# License
use_mit_license()
use_gpl3_license()
use_cc0_license()
# Documentation
use_roxygen_md()
use_package_doc()
use_news_md()
use_readme_rmd()
# Dependencies
use_package("dplyr")
use_package("ggplot2", type = "Suggests")
use_pipe() # Add %>%
use_tibble()
Testing
use_testthat()
use_test("myfunction")
use_coverage()
Git & GitHub
use_git()
use_github()
use_github_action_check_standard()
use_github_action("pkgdown")
use_github_pages()
Data
# Internal data
use_data_raw("dataset")
use_data(mydata, internal = TRUE)
# External data
use_data(mydata)
Vignettes
use_vignette("introduction")
use_article("advanced-usage")
CI/CD
use_github_action_check_standard()
use_github_action_check_release()
use_github_action("test-coverage")
use_github_action("pkgdown")
Other
# Add file
use_r("myfunction")
use_test("myfunction")
# Badges
use_cran_badge()
use_lifecycle_badge("experimental")
use_coverage_badge()
# Imports
use_import_from("dplyr", "filter")
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.
- 3d ago First seen · 103 lines · 27 tokens per session scan A d07ccd6c9927
usethis 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 390 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 2026-09-03.
Other skills, from other repositories
aws-ci-cd-release-engineer
Review AWS CI/CD and release safety across CodePipeline, CodeBuild, CodeDeploy, GitHub Actions, GitLab, artifact provenance, deployment gates, approvals, tests, progressive delivery, rollback, change correlation, and incident-prevention recommendations. Use when AWS releases or pipelines can affect production…
aws-deployment-hotfix-operator
Patch AWS deployment hotfix config, release parameters, manifest mistakes, environment drift, rollback blockers, and rollout blockers in-repo. Use for rapid non-destructive deployment corrections; do not use for live deploy/apply/destroy actions.
aws-pipeline-fix-operator
Repair AWS pipeline configuration, buildspecs, workflow files, deployment steps, artifact wiring, release guardrails, and CodeDeploy integration in-repo. Use for non-destructive CI/CD corrections; do not trigger live pipeline runs or mutate cloud state.
cloudflare-workers-ci-cd
Complete CI/CD guide for Cloudflare Workers using GitHub Actions and GitLab CI. Use for automated testing, deployment pipelines, preview environments, secrets management, or encountering deployment failures, workflow errors, environment configuration issues.
databricks-developer-platform
Use this skill to review a Declarative Automation Bundle configuration, authentication setup, and deployment flow against production readiness criteria: bundle structure, deployment modes, run-as identity boundaries, variable resolution timing, OAuth and environment-variable authentication, Terraform versus direct…
databricks-lakeflow-pipeline-engineering
Use this skill to design Lakeflow Spark Declarative Pipelines: medallion layering, Lakeflow Jobs orchestration and task dependencies, Delta table layout (liquid clustering, deletion vectors, Predictive Optimization), Auto Loader ingestion, schema evolution and rescueddata, materialized views versus streaming tables…