Borrowing it
Nothing to install: this file belongs to NomaDamas/AutoRAG-Research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/NomaDamas/AutoRAG-Research/main/.claude/agents/dataset-inspector.mdgit clone --depth 1 https://github.com/NomaDamas/AutoRAG-ResearchWrote 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/agents/nomadamas/autorag-research/dataset-inspector)<a href="https://agentmods.dev/agents/nomadamas/autorag-research/dataset-inspector"><img src="https://agentmods.dev/badge/agents/nomadamas/autorag-research/dataset-inspector/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.
<a href="https://agentmods.dev/agents/nomadamas/autorag-research/dataset-inspector"><img src="https://agentmods.dev/badge/agents/nomadamas/autorag-research/dataset-inspector.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00393 | $0.00479 |
| Opus 5.5 | $0.00157 | $0.00192 |
| Sonnet 5.5 | $0.00079 | $0.00096 |
| Haiku 4.5 | $0.00039 | $0.00048 |
Grade A, and why
dataset-inspector 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 2mo 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
Read and follow ai_instructions/dataset_inspector.md.
Task:
- Analyze the dataset structure only
- Produce
Source_Data_Profile.jsonin the project root - Do not write ingestion or implementation code
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.
- 2mo ago First seen · 15 lines · 0 tokens per session scan A 231333598f2a
dataset-inspector is an agent published in the GitHub repository NomaDamas/AutoRAG-Research (151 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 393 tokens to every session and 479 once invoked, about $0.0016 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.
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