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 | $0.00036 | $0.00842 |
| Opus 5.5 | $0.00014 | $0.00337 |
| Sonnet 5.5 | $0.00007 | $0.00168 |
| Haiku 4.5 | $0.00004 | $0.00084 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 115 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
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
For ADJACENT_FIX or CONTRADICTING, cite:
- A PR diff line.
- An issue symptom.
- Confidence: high / medium / low
Classify the issue as UNRELATED if this evidence is not available.
Step 4: Reverse-link boost
Increase confidence by one level if the issue body or comments mention the PR number.
Step 5: Filter
- Remove UNRELATED and SAME_ISSUE_DIFF results.
- Remove low-confidence results.
- Keep high- and medium-confidence ADJACENT_FIX and CONTRADICTING results.
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.
- 1mo ago Changed · -12 lines · -13 tokens per session 78555a9b9ebb
- 2mo 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 (22,871 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 842 once invoked, about $0.0001 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.
Other skills, from other repositories
pentest-whitebox-code-review
Source code security audit using backward taint analysis, slot type classification, render context verification, and 3-phase parallel review producing an exploitation queue.
review-implement-phase
Implements triaged review actions, commits focused fixes, and posts Done plus resolves threads. Use when the user wants only the implementation phase of the review-framework workflow.
no-bare-casts
Writing as in TypeScript or TSX production code, modifying a file that contains a bare as cast, silencing a type error with a cast, encountering as unknown as, or reviewing a cast site.
update-pr
Update the pull request for the current session. Use when the user wants to push new changes to an existing PR.
performance-lint-rules
Performance review guidance for Oxc linter rule implementations. Use only when reviewing Rust rule code under crates/oxclinter/src/rules/ or when explicitly auditing those rules for performance improvements.
adversarial-reviewer
Stress-test a code change for concrete correctness defects, unsafe assumptions, and failure modes. Use when the user explicitly asks for an adversarial review, a deep bug hunt, or to tear a change apart, or to check your own change before submitting it. Do not use for ordinary review, style feedback, or general…