Borrowing it
Nothing to install: this file belongs to openshift/rosa. 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/openshift/rosa/master/.claude/skills/rosa-aws-context/SKILL.mdgit clone --depth 1 https://github.com/openshift/rosaWrote 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/openshift/rosa/rosa-aws-context)<a href="https://agentmods.dev/skills/openshift/rosa/rosa-aws-context"><img src="https://agentmods.dev/badge/skills/openshift/rosa/rosa-aws-context/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/openshift/rosa/rosa-aws-context"><img src="https://agentmods.dev/badge/skills/openshift/rosa/rosa-aws-context.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 | $0.00023 | $0.00180 |
| Opus 5.5 | $0.00009 | $0.00072 |
| Sonnet 5.5 | $0.00005 | $0.00036 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
ROSA AWS Context 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.
What it actually says
ROSA AWS Context
Use this skill for AWS-facing code, setup flows, architecture wording, prerequisites, or troubleshooting.
- Read AGENTS.md and its AWS guidelines.
- Identify whether the behavior applies to HCP, classic, or both. Check the relevant official sources linked by the AWS guide.
- Apply the guide's implementation, credential, and dependency rules. Surface any disagreement between code and official documentation.
- Re-read the source for each changed claim and check user-facing examples.
- Select the relevant local checks from CONTRIBUTING.md.
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 · -11 lines 105e4d7603b4
- 1mo ago Changed c8d340afcb48
- 2mo ago First seen · 31 lines · 23 tokens per session scan A 9b0550a46940
ROSA AWS Context is a skill published in the GitHub repository openshift/rosa (105 stars, last pushed yesterday), licensed Apache-2.0. It adds 23 tokens to every session and 180 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.
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