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-classify-ci-failure/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-classify-ci-failure)<a href="https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-maintainer-classify-ci-failure"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-maintainer-classify-ci-failure/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-classify-ci-failure"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-maintainer-classify-ci-failure.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 | $0.00050 | $0.00658 |
| Opus 5 | $0.00025 | $0.00329 |
| Sonnet 5 | $0.00010 | $0.00132 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
nemoclaw-maintainer-classify-ci-failure scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Classify a CI Failure
Run the classifier from a NemoClaw checkout:
node --no-warnings \
.agents/skills/nemoclaw-maintainer-classify-ci-failure/scripts/classify-ci-failure.mts \
--workdir "$PWD" --job-id <job-id>
The repository is fixed to NVIDIA/NemoClaw. Optional flags include --artifact-name. --max-lines accepts integers from 1 through 500 and defaults to 120. --clip-mode accepts head or tail and defaults to tail.
The script uses authenticated gh reads. It performs no GitHub writes. It bounds and redacts log output. When an artifact is selected, it bounds pagination, compressed and expanded sizes, entries, paths, file reads, and reported failures. It rejects malformed ZIPs, links, special files, duplicate or unsafe paths, ambiguous listings, and size mismatches. Temporary files use process-owned directories under a fixed private root. The classifier attempts to remove them directly through the filesystem after success or failure. If removal fails, the classifier exits nonzero. It reports a bounded, redacted diagnostic with a direct removal command. Each command runs beneath a stable detached group leader that stays alive until every group descendant exits. This is an internal trusted-subprocess boundary: the classifier invokes Bash and GNU coreutils by fixed paths. It finds gh only in /usr/bin, /usr/local/bin, or $HOME/.local/bin after it validates the path, ownership, permissions, and file type. It treats artifacts as data and never executes artifact content or caller-selected programs. On SIGHUP, SIGINT, or SIGTERM, the classifier rejects new commands, terminates and drains every owned group, synchronously removes tracked directories, and exits with the conventional cancellation code. If normal cleanup fails, it reports a bounded, redacted error and a removal command that remains valid if TMPDIR changes.
Run the script from a Linux NemoClaw checkout with Node.js 22.19 or later, /proc, Bash, authenticated gh in a trusted location, and GNU coreutils (dd, stat, tail, and wc).
Any nonzero log acquisition result is a classifier failure. After the cleanup attempt, the script exits nonzero with no success JSON and reports a bounded, redacted diagnostic. On GitHub authentication or authorization failure, stop, follow the repository GitHub access hard stop, and ask the user to correct the configured gh access (including SSO or token scope) before rerunning. Treat unclassified as bounded evidence, not proof that no known cause exists.
What ships with it
2 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.
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.
- yesterday Changed 074f070c36ad
- 8d ago First seen · 27 lines · 50 tokens per session scan A 12fb2df23694
nemoclaw-maintainer-classify-ci-failure is a skill published in the GitHub repository NVIDIA/NemoClaw (22,427 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 658 once invoked, about $0.0003 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 2026-09-03.
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