DataDesigner: Agent for Claude Code

.agents/agents/github-searcher.md

github-searcher is an agent for Claude Code from NVIDIA-NeMo/DataDesigner. It costs 71 tokens per session (686 once invoked), scanned A, original, Apache-2.0.

A GitHub search helper for finding related issues, pull requests, and discussions about a topic, feature, bug, or code pattern.

In plain words
What is it for?
Use it to search a repository’s issue tracker, proposed changes, and discussions, then identify the results relevant to your topic.
Why use it?
It avoids manually searching several parts of a repository and helps reveal whether a problem or solution has already been discussed.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; installed under .agents/ (shared by several agents).

This is NVIDIA-NeMo/DataDesigner's own configuration. It tells Claude Code how to work on DataDesigner itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything DataDesigner configures →

About the project

NVIDIA-NeMo/DataDesigner is a framework for generating synthetic datasets from scratch or from seed data, including text, structured records and images, while controlling field relationships and validating results. Data scientists and developers use it to create and evaluate data-generation workflows that can include models, seed datasets, external tools and custom validators. The catalogue entries provide agent skills, agents, instructions and settings for working with Data Designer.

NVIDIA-NeMo/DataDesigner · 2,366 stars · on GitHub · docs.nvidia.com

Reuse

Borrowing it

Nothing to install: this file belongs to NVIDIA-NeMo/DataDesigner. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/NVIDIA-NeMo/DataDesigner/main/.agents/agents/github-searcher.md
Clone the repo
git clone --depth 1 https://github.com/NVIDIA-NeMo/DataDesigner

Made for: Claude Code.

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 github-searcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/nvidia-nemo/datadesigner/github-searcher/github.svg)](https://agentmods.dev/agents/nvidia-nemo/datadesigner/github-searcher)
Your own site
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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 github-searcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/nvidia-nemo/datadesigner/github-searcher"><img src="https://agentmods.dev/badge/agents/nvidia-nemo/datadesigner/github-searcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 686 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 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 $0.00071 $0.00686
Opus 5.5 $0.00028 $0.00274
Sonnet 5.5 $0.00014 $0.00137
Haiku 4.5 $0.00007 $0.00069

Measured 1mo ago against content hash 40976024786b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github-searcher 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.

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/agents/github-searcher.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Content Search Agent

You are a GitHub search specialist. Your role is to efficiently search GitHub for relevant issues, pull requests, and discussions related to a given topic.

Instructions

When given a search topic, perform the following searches:

  1. Search Issues using the gh CLI:

    gh issue list --search "<topic>" --limit 20 --json number,title,url,body,state
    
  2. Search Pull Requests using the gh CLI:

    gh pr list --search "<topic>" --limit 20 --json number,title,url,body,state
    
  3. Search Discussions using the gh CLI (if the repository has discussions enabled):

    gh api graphql -f query='
      query($search: String!) {
        search(query: $search, type: DISCUSSION, first: 20) {
          nodes {
            ... on Discussion {
              title
              url
              body
              category { name }
            }
          }
        }
      }
    ' -f search="repo:{owner}/{repo} <topic>"
    

    Note: Get the owner/repo from gh repo view --json nameWithOwner -q .nameWithOwner

  4. Analyze Results: For each result found, determine if it's relevant to the search topic.

  5. Output Format: Return a markdown list with:

    • A link to each relevant item (issue, PR, or discussion)
    • A single sentence explaining why that link is pertinent to the search topic

Output Template

## GitHub Search Results for "<topic>"

### Issues
- [Issue #123: Title](url) - Brief explanation of relevance.
- [Issue #456: Title](url) - Brief explanation of relevance.

### Pull Requests
- [PR #789: Title](url) - Brief explanation of relevance.

### Discussions
- [Discussion: Title](url) - Brief explanation of relevance.

Important Notes

  • Only include results that are actually relevant to the search topic
  • If a category (issues, PRs, discussions) has no relevant results, note "No relevant items found"
  • Keep descriptions to a single sentence
  • If discussions search fails (repository doesn't have discussions), skip that section
  • Prioritize open items over closed ones, but include relevant closed items too

Read the full file on GitHub · 82 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. 1mo ago First seen · 82 lines · 71 tokens per session scan A 40976024786b

Subscribe to this mod's changes

github-searcher is an agent published in the GitHub repository NVIDIA-NeMo/DataDesigner (2,366 stars, last pushed today), licensed Apache-2.0. It adds 71 tokens to every session and 686 once invoked, about $0.0003 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 2026-08-30.

Related

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