rounding

rounding is a skill for Claude Code, Codex from RConsortium/pharma-skills. It costs 145 tokens per session (3,620 once invoked), scanned A, original, no licence file.

A review guide for checking R code that rounds clinical-report statistics to match SAS rules. SAS is a statistics system commonly used in clinical research.

In plain words
What is it for?
Use it to review or fix R rounding, including rounding ties away from zero, rounding once at display time, and preserving fixed decimal places.
Why use it?
It helps catch rounding differences that can change reported results, especially for values exactly halfway between two numbers.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to review or fix R rounding, including rounding ties away from zero, rounding once at display time, and preserving fixed decimal places.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rconsortium/pharma-skills/rounding
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.

Any agent
npx skills add RConsortium/pharma-skills --skill rounding
Clone the repo
git clone --depth 1 https://github.com/RConsortium/pharma-skills

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 rounding

README.md
[![agentmods](https://agentmods.dev/badge/skills/rconsortium/pharma-skills/rounding/github.svg)](https://agentmods.dev/skills/rconsortium/pharma-skills/rounding)
Your own site
<a href="https://agentmods.dev/skills/rconsortium/pharma-skills/rounding"><img src="https://agentmods.dev/badge/skills/rconsortium/pharma-skills/rounding/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for rounding

Your own site · 80×15
<a href="https://agentmods.dev/skills/rconsortium/pharma-skills/rounding"><img src="https://agentmods.dev/badge/skills/rconsortium/pharma-skills/rounding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,620 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00145 $0.03620
Opus 5.5 $0.00058 $0.01448
Sonnet 5.5 $0.00029 $0.00724
Haiku 4.5 $0.00015 $0.00362

Measured 1mo ago against content hash f1cda741804b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rounding 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (evals/fixtures/build-fixture.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

rounding/SKILL.md · 284 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 1mo ago Changed · -9 lines f1cda741804b
  2. 1mo ago Changed · +68 lines · +16 tokens per session f6d3c6bebe0e
  3. 2mo ago First seen · 225 lines · 129 tokens per session scan A 2a25c6134234

Subscribe to this mod's changes

rounding is a skill published in the GitHub repository RConsortium/pharma-skills (137 stars, last pushed 14d ago), with no licence file. It adds 145 tokens to every session and 3,620 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-07.

Related

rounding compared with skills from other repositories

rounding next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
roundingRConsortium/pharma-skillsSkill13714d agononeA145Claude Code, Codex
hypothesessynthetic-sciences/openscienceSkill4.3k2d agoApache-2.0A99Claude Code
review-rpedrohcgs/claude-code-my-workflowSkill1.7k2d agoMITA102Claude Code
review-paper-codeclaesbackman/AI-research-feedbackSkill5289d agoMITA0Claude Code
paperlab_neqsim_api_claim_verificationequinor/neqsimSkill163todayApache-2.0A55Claude Code, Codex
workflows:reviewbrycewang-stanford/Auto-Empirical-Research-SkillsSkill4.9k4d agononeA21Claude Code
referee2brycewang-stanford/Auto-Empirical-Research-SkillsSkill4.9k4d agononeA61Claude Code