Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add opendatahub-io/ai-helpers --skill non-redhat-rpmsgit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote 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/opendatahub-io/ai-helpers/non-redhat-rpms)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/non-redhat-rpms"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/non-redhat-rpms/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/opendatahub-io/ai-helpers/non-redhat-rpms"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/non-redhat-rpms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00095 | $0.02438 |
| Opus 5 | $0.00048 | $0.01219 |
| Sonnet 5 | $0.00019 | $0.00488 |
| Haiku 4.5 | $0.00010 | $0.00244 |
Grade A, and why
non-redhat-rpms 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 — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Non-Red Hat RPMs
Identify non-Red Hat-signed RPM packages in container images or on the local machine for compliance and supply-chain auditing.
Agent Instructions
Local vs container scan
If the user asks to scan "this machine", "the host", "localhost", or similar,
run the script with -l. No image URL, tags, or network access are needed:
./scripts/find_non_redhat_rpms.sh -l
For container image scans, follow the sections below.
Image URL defaults
When the user requests a scan of an image without specifying the full URL:
- Default registry:
quay.io - Default repositories (in priority order):
rhoai, thenopendatahub - Try
quay.io/rhoai/<image>first. If the image is not found there, tryquay.io/opendatahub/<image>. - If the user provides a registry (e.g.
registry.redhat.io) or repository (e.g.opendatahub), use those instead of the defaults.
The script automatically resolves component names: if a repository is not
found, it tries appending -rhel9 (e.g. odh-dashboard resolves to
odh-dashboard-rhel9). Pass the user's input as-is and let the script
handle the resolution.
For example, if the user says "scan odh-dashboard", run the script against
quay.io/rhoai/odh-dashboard. The script will find that the repo doesn't
exist and automatically try quay.io/rhoai/odh-dashboard-rhel9.
If quay.io/rhoai/ fails entirely, try quay.io/opendatahub/ as the
repository.
Large image confirmation
The script always displays the compressed image size before pulling. For
images exceeding 1 GB it prints a WARNING: line to stderr.
When the tag is known before running the script, pre-check the size to decide whether to ask the user first:
skopeo inspect --override-arch amd64 "docker://<image>:<tag>" | jq '[.LayersData[].Size] | add'
If the total exceeds 1 GB (1073741824 bytes), stop and ask the user for
confirmation in the chat before proceeding. Only run the script with -y
after the user confirms. Do not repeat the size in your response — the
script already displays it in its output.
What ships with it
1 file 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.
- 9d ago First seen · 263 lines · 95 tokens per session scan A b4c0b55152d5
non-redhat-rpms is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 5d ago), licensed Apache-2.0. It adds 95 tokens to every session and 2,438 once invoked, about $0.0005 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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