agentmods.dev

review-library-rail

review-library-rail is a skill for Claude Code, Codex from NVIDIA-NeMo/Guardrails. It costs 111 tokens per session (4,104 once invoked), scanned A, original, no licence file.

A pull-request review guide for adding or changing a built-in or vendor guardrail in NemoGuardrails. A guardrail is a rule that checks or limits model input and output.

In plain words
What is it for?
Use it when reviewing a pull request that changes a rail in the NemoGuardrails library.
Why use it?
It checks both automated requirements and harder questions such as privacy, retry behaviour, failure handling, supported formats, documentation, and security.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

not rated 7.4krepo +36 yesterday A scan 111 tokens custom licence

Good fit Use it when reviewing a pull request that changes a rail in the NemoGuardrails library.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nvidia-nemo/guardrails/review-library-rail
View source ↗ NVIDIA-NeMo/Guardrails docs.nvidia.com
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 NVIDIA-NeMo/Guardrails --skill review-library-rail
Clone the repo
git clone --depth 1 https://github.com/NVIDIA-NeMo/Guardrails

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 review-library-rail

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvidia-nemo/guardrails/review-library-rail/github.svg)](https://agentmods.dev/skills/nvidia-nemo/guardrails/review-library-rail)
Your own site
<a href="https://agentmods.dev/skills/nvidia-nemo/guardrails/review-library-rail"><img src="https://agentmods.dev/badge/skills/nvidia-nemo/guardrails/review-library-rail/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 review-library-rail

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia-nemo/guardrails/review-library-rail"><img src="https://agentmods.dev/badge/skills/nvidia-nemo/guardrails/review-library-rail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,104 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 $0.00111 $0.04104
Opus 5.5 $0.00044 $0.01642
Sonnet 5.5 $0.00022 $0.00821
Haiku 4.5 $0.00011 $0.00410

Measured 8d ago against content hash 47af91e528c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-library-rail 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 8d 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.

.agents/skills/review-library-rail/SKILL.md · 283 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 8d ago First seen · 283 lines · 111 tokens per session scan A 47af91e528c6

Subscribe to this mod's changes

review-library-rail is a skill published in the GitHub repository NVIDIA-NeMo/Guardrails (7,439 stars, last pushed yesterday), with no licence file. It adds 111 tokens to every session and 4,104 once invoked, about $0.0004 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 2026-10-30.

Code reviewGuardrailsPythonSecurityagentsgenerative-aillmssafety
Related

review-library-rail compared with skills from other repositories

review-library-rail next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
review-library-railNVIDIA-NeMo/GuardrailsSkill7.4kyesterdaynoneA111Claude Code, Codex
advisor-orchestrator-workerShubhamsaboo/awesome-llm-appsSkill144kyesterdayApache-2.0C100Claude Code, Codex
first-readerShubhamsaboo/awesome-llm-appsSkill144kyesterdayApache-2.0A174Claude Code, Codex
mcp-apps-builderShubhamsaboo/awesome-llm-appsSkill144kyesterdayApache-2.0A139Claude Code, Codex
project-graveyardShubhamsaboo/awesome-llm-appsSkill144kyesterdayApache-2.0A127Claude Code, Codex
commit-archaeologistShubhamsaboo/awesome-llm-appsSkill144kyesterdayApache-2.0A82Claude Code, Codex
dependency-doctorShubhamsaboo/awesome-llm-appsSkill144kyesterdayApache-2.0A115Claude Code, Codex