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-cross-issue-sweep/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-cross-issue-sweep)<a href="https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-maintainer-cross-issue-sweep"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-maintainer-cross-issue-sweep/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-cross-issue-sweep"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-maintainer-cross-issue-sweep.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 | $0.00049 | $0.00988 |
| Opus 5 | $0.00024 | $0.00494 |
| Sonnet 5 | $0.00010 | $0.00198 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade A, and why
nemoclaw-maintainer-cross-issue-sweep 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 12d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Issue Regression Sweep
Find open issues that a PR can affect in addition to its linked issue. Report two relationship types:
- Adjacent fix — The PR can also resolve another issue.
- Conflict — The PR can prevent the behavior that another issue requests.
Prerequisites
ghCLI authenticated- A target repository with open issues
- An open PR to scan
Repo policy
The defaults use NemoClaw conventions. Edit repo-policy.md for another repository.
Workflow
Copy this checklist into your response and check off each step:
Cross-issue sweep progress:
- [ ] Step 1: Extract fingerprint (files, symbols, error strings, primary issue)
- [ ] Step 2: Search candidate issues (capped at 30, primary excluded)
- [ ] Step 3: Classify each candidate (4-class with evidence)
- [ ] Step 4: Apply reverse-link boost
- [ ] Step 5: Filter (drop UNRELATED, SAME_ISSUE_DIFF, low-confidence)
- [ ] Step 6: Render report using templates/report.md
Step 1: Extract fingerprint
scripts/extract-fingerprint.sh <pr-number>
The script collects changed files, changed symbols, error strings, and the linked issue.
See checks/fingerprint-extraction.md.
Step 2: Search candidate issues
scripts/search-candidate-issues.sh <fingerprint-json>
Search these three inputs. Keep no more than 30 candidates:
- Per symbol: top 10 by recency
- Per file path: top 5 by recency
- Per error string: top 5 by recency
Remove duplicates and the linked issue.
Step 3: Classify each candidate
Classify each candidate with the rules in checks/relationship-judgment.md:
- ADJACENT_FIX — The PR can resolve this issue.
- CONTRADICTING — The PR conflicts with the requested behavior.
- SAME_ISSUE_DIFF — same root bug as PR's primary issue (dedup filter)
- UNRELATED — no meaningful relationship
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- checks/fingerprint-extraction.md 2.0 KB
- checks/relationship-judgment.md 3.1 KB
- relationship-rules.md 3.6 KB
- repo-policy.md 1.7 KB
- scripts/extract-fingerprint.sh 5.8 KB runs code
- scripts/render-report.py 4.3 KB runs code
- scripts/search-candidate-issues.sh 3.3 KB runs code
- templates/report.md 1.8 KB
- validation/backtest.md 2.2 KB
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.
- 12d ago First seen · 127 lines · 49 tokens per session scan A dc7680ed4ab3
nemoclaw-maintainer-cross-issue-sweep is a skill published in the GitHub repository NVIDIA/NemoClaw (22,427 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 988 once invoked, about $0.0002 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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