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.
npx agentmods add agents/nvidia/tensorrt-llm/ad-run-agentgit clone --depth 1 https://github.com/NVIDIA/TensorRT-LLMWhat 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 | $0.00015 | $0.01516 |
| Opus 5 | $0.00008 | $0.00758 |
| Sonnet 5 | $0.00003 | $0.00303 |
| Haiku 4.5 | $0.00002 | $0.00152 |
Grade A, and why
ad-run-agent 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 2d 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.
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.
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.
- 2d ago First seen · 127 lines · 15 tokens per session scan A 8f218ed639e0
ad-run-agent is an agent published in the GitHub repository NVIDIA/TensorRT-LLM (14,505 stars, last pushed 3d ago), with no licence file. It adds 15 tokens to every session and 1,516 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.
Other agents, from other repositories
owner-judge
Reviews proposed changes to VoiceStudio against the owner's documented standards. Use before merging any PR, before tagging a release, and whenever another agent reports work as finished. Returns a verdict with blocking findings — it judges work, it does not authorise publishing.
triage-labels
The skills speak in terms of five canonical triage roles. This file maps those roles to the actual label strings used in this repo's issue tracker.
google-colab-expert
Expert in Google Colab for cloud-based ML/DL development with free GPU/TPU access. Specializes in Colab 2025 features (Gemini AI integration, google.colab.ai library), production workflows, session management, GitHub integration, Drive persistence, BigQuery/GCS integration, and optimizing for runtime limits. Use for…
AGENTS
../AGENTS.md.
metal-reviewer
Reviews Metal / Apple-Silicon code under core/src/metal/ (runtime, picture, IOSurface import) and core/src/feature/metal/ (.mm / .metal pairs) for correctness, parity vs the CUDA / Vulkan twins, and Apple-Family-7 gating. Use when reviewing .mm host wrappers, .metal MSL kernels, or IOSurface zero-copy patterns.
pr-body-checker
Validates a PR body against the ADR-0108 deep-dive deliverables checklist locally before push. Catches the dominant CI-waste failure mode (prose-bullet deliverables instead of - [x] Item checkboxes) in under 5 seconds. Use when reviewing a draft PR description before opening or after editing.