NVIDIA/NemoClaw is an open-source reference stack for running supported AI agents inside NVIDIA OpenShell sandboxes with managed inference, network policies, integrations, snapshots, and lifecycle controls. It is used to run agents such as OpenClaw, Hermes, and LangChain Deep Agents with administrative and security controls. Catalogue add-ons guide coding agents through NemoClaw workflows.
Borrowing it
Nothing to install: this file belongs to NVIDIA/NemoClaw. 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/NVIDIA/NemoClaw/main/.agents/skills/nemoclaw-maintainer-find-review-pr/SKILL.mdgit clone --depth 1 https://github.com/NVIDIA/NemoClawWrote 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/skills/nvidia/nemoclaw/nemoclaw-maintainer-find-review-pr)<a href="https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-maintainer-find-review-pr"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-maintainer-find-review-pr/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/skills/nvidia/nemoclaw/nemoclaw-maintainer-find-review-pr"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-maintainer-find-review-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00076 | $0.01638 |
| Opus 5 | $0.00038 | $0.00819 |
| Sonnet 5 | $0.00015 | $0.00328 |
| Haiku 4.5 | $0.00008 | $0.00164 |
Grade A, and why
nemoclaw-maintainer-find-review-pr 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find PR to Review
Find open PRs with the security label and Project Priority Urgent or High.
Link each PR to its issue. Identify competing or superseded PRs. Report the results for the maintainer.
Prerequisites
gh(GitHub CLI) must be installed and authenticated.- The active
ghtoken must haveread:projectscope. - You must be in a GitHub repository (or the user must specify
OWNER/REPO).
Step 1: Fetch candidate PRs
Read the NemoClaw Development Tracker and select open PRs that carry the canonical security label and have Project Priority Urgent or High:
gh project item-list 199 --owner NVIDIA --limit 1000 --format json \
| jq '[.items[]
| select(.content.repository == "NVIDIA/NemoClaw")
| select(.content.type == "PullRequest")
| select(((.labels // []) | index("security")) != null)
| select(.priority == "Urgent" or .priority == "High")
| {number: .content.number, title: .content.title, url: .content.url,
priority: .priority, status: .status}]'
Remove entries for closed PRs.
For each remaining PR, fetch the body, author, branch, labels, and creation time with gh pr view.
If no PRs remain, report that result and stop.
Step 2: Extract linked issues
For each PR, search its body for issue references. Match these patterns without case sensitivity:
Fixes #NNN,Closes #NNN,Resolves #NNN,Refs #NNN,Relates to #NNN, orPart of #NNNRelated issues/Linked issuessection containing#NNN- Issue number in the PR title, such as a
(#NNN)suffix - Branch name containing an issue number, such as
fix/something-NNN
Build a mapping: PR# → [issue numbers].
If a PR has no detectable linked issue, mark it as (no linked issue).
Step 3: Detect duplicates
Group PRs by linked issue number. If two or more open PRs link to one issue, put them in one competing-PR group.
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.
- 13d ago First seen · 154 lines · 76 tokens per session scan A 82b889a184fb
nemoclaw-maintainer-find-review-pr is a skill published in the GitHub repository NVIDIA/NemoClaw (22,442 stars, last pushed today), licensed Apache-2.0. It adds 76 tokens to every session and 1,638 once invoked, about $0.0004 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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