OpenShell is a runtime for autonomous AI agents that executes them in sandboxed environments governed by declarative policies. It is used to restrict agents' access to files, credentials, data, and network resources, and the catalogue includes skills and workflows for operating and contributing to it.
Borrowing it
Nothing to install: this file belongs to NVIDIA/OpenShell. 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/OpenShell/main/.agents/skills/review-security-issue/SKILL.mdgit clone --depth 1 https://github.com/NVIDIA/OpenShellWrote 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/openshell/review-security-issue)<a href="https://agentmods.dev/skills/nvidia/openshell/review-security-issue"><img src="https://agentmods.dev/badge/skills/nvidia/openshell/review-security-issue/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/openshell/review-security-issue"><img src="https://agentmods.dev/badge/skills/nvidia/openshell/review-security-issue.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 | $0.00025 | $0.00468 |
| Opus 5.5 | $0.00010 | $0.00187 |
| Sonnet 5.5 | $0.00005 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
review-security-issue 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 9d 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 — 21 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Security Issue
Review a security concern through its authorized private workflow. Do not file or expand a vulnerability in a public issue; follow SECURITY.md. A direct request to review authorizes review only, not remediation. For unattended review, verify authorization from maintainer direction and accessible discussion; for issues, also inspect current state:* label descriptions and assignments.
Assess
- Fetch the requested source. For a GHSA, use
gh api --method GET repos/OWNER/REPO/security-advisories/GHSA-IDand read any supplied private discussion or fix links. The advisory payload does not include its discussion; report inaccessible prior discussion as unverified. For an issue, usegh issue view <id> --json title,body,state,labels,commentsand follow Label Discovery inCONTRIBUTING.md; GHSA lifecycle states are not issue labels. Verify authorization and check whether a prior review already answers the request. - Check the required advisory report format and supporting reproduction or concrete code evidence. If either is missing, return a concise request for the missing sections or evidence before technical triage. Do not fill gaps with assumptions or treat scanner output as proof.
- Inspect affected code and verify the claim. Assess impact, exploitability, prerequisites, affected surface, and a concrete attack scenario. Separate reported claims, code inspection, and reproduced results; check the attacker's existing authority and give a severity with rationale.
- If actionable, propose a remediation plan with code areas, safe rollout, and focused tests. If not actionable, explain the evidence and recommended disposition. Do not decide product acceptance or silently close the issue.
- Post the review or revision request only when the request authorizes posting. Begin the comment with
> **🔒 security-review-agent**so later reviews can detect it. Keep sensitive details in the authorized private venue.
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.
- 9d ago Changed · +1 lines · +5 tokens per session 6c50d6d33dbc
- 1mo ago Changed 2ca87e46aa9f
- 1mo ago Changed · -177 lines · -37 tokens per session bebed2e36e56
- 2mo ago Changed · +2 lines 58e2f87f6adf
- 2mo ago First seen · 195 lines · 57 tokens per session scan A 667361dde364
review-security-issue is a skill published in the GitHub repository NVIDIA/OpenShell (21,172 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 468 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.
review-security-issue compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-security-issueNVIDIA/OpenShell | Skill | 21k | yesterday | Apache-2.0 | A | 25 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |