small-fix

A workflow for making a narrowly scoped bug fix in NeMo Relay. It emphasizes reproducing the problem, changing as little as needed and adding a focused test.

In plain words
What is it for?
Use it for localized bugs or behavior corrections, including defining scope, checking affected code, updating tests and recording the fix for review.
Why use it?
It helps prevent a small correction from turning into an unrelated refactor and leaves evidence that the original failure is fixed.

Skill for Claude CodeCodex

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/nvidia/nemo-relay/small-fix
Any agent
npx skills add NVIDIA/NeMo-Relay --skill small-fix
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/NeMo-Relay

Made for: Claude Code, Codex.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 227 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 $0.00019 $0.00227
Opus 5 $0.00010 $0.00113
Sonnet 5 $0.00004 $0.00045
Haiku 4.5 $0.00002 $0.00023

Measured 3d ago against content hash 05bc08a3f937, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

small-fix 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.

.agents/skills/small-fix/SKILL.md · 38 lines

What it actually says

Contribute A Small Fix

Companion Guidance

Use karpathy-guidelines alongside this skill for implementation or review work. Keep changes scoped, surface assumptions, and define focused validation before editing.

Use this skill for narrowly scoped bug fixes or behavior corrections.

Rules

  • Reproduce or identify the failing behavior first
  • Keep the change as small as possible
  • Avoid opportunistic refactors unless they are required to fix the bug safely
  • Add or update the smallest meaningful test that proves the fix

Checklist

  • Scope of the fix is explicit
  • Affected language surfaces are understood
  • A regression test or focused validation path exists
  • Docs updated if public behavior changed
  • PR notes can explain what failed before and why the fix is safe

References

  • CONTRIBUTING.md
  • validate-change
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. 3d ago First seen · 38 lines · 19 tokens per session scan A 05bc08a3f937

Subscribe to this mod's changes

small-fix is a skill published in the GitHub repository NVIDIA/NeMo-Relay (132 stars, last pushed 3d ago), licensed Apache-2.0. It adds 19 tokens to every session and 227 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 2026-08-30.

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