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 maas-nightly-qe-impactgit 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/maas-nightly-qe-impact)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/maas-nightly-qe-impact"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/maas-nightly-qe-impact/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/maas-nightly-qe-impact"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/maas-nightly-qe-impact.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 | $0.00081 | $0.01691 |
| Opus 5 | $0.00041 | $0.00846 |
| Sonnet 5 | $0.00016 | $0.00338 |
| Haiku 4.5 | $0.00008 | $0.00169 |
Grade A, and why
maas-nightly-qe-impact 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 12d 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MaaS Nightly QE Impact
Notify the merge team when a MaaS autofix may require follow-up in downstream nightly test or CI repos. This skill is informational only — it does not block merge or trigger re-iteration.
Step 1: Confirm context
- Read
.autofix-context/ticket.jsonfor the ticket key and summary. If the file is missing or malformed, write an empty findings file and stop. - Read
autofix-output/.autofix-verdict.json. Ifverdictis notcommitted, write an empty findings file and stop:
mkdir -p .autofix-context/extension-findings
echo '[]' > .autofix-context/extension-findings/maas-nightly-qe-impact.json
- Load the static trigger catalog from
${CLAUDE_SKILL_DIR}/references/impact-triggers.mdand repo paths from${CLAUDE_SKILL_DIR}/references/repo-locations.md.
Step 2: Analyze the code change
Collect the diff against the target branch:
TARGET=$(git rev-parse --abbrev-ref origin/HEAD 2>/dev/null | sed 's|^origin/||')
BASE="origin/${TARGET:-main}"
git diff --name-only "${BASE}...HEAD" 2>/dev/null || git diff --name-only HEAD~1
git diff "${BASE}...HEAD" 2>/dev/null | head -2000
Classify changed files against the trigger catalog. Flag a category when the diff touches matching paths or introduces matching concepts (env vars, CRD fields, namespace names, API routes, NetworkPolicy selectors, deployment names).
High-signal patterns (learned from models-as-a-service#1051):
- Namespace moves (
INFRA_NAMESPACE,odh-ai-gateway-infra,redhat-ai-gateway-infra, controller vs infra namespace) - Secret relocation (
maas-db-config, cross-namespace DB URLs) - Renamed reconciler fields (
MaaSAPINamespace→InfraNamespace) - NetworkPolicy label selectors affecting Gateway ↔ maas-api traffic
- Deploy/script changes under
scripts/deploy.sh,scripts/setup-database.sh,scripts/validate-deployment.sh - New or changed API endpoints under
/v1/or/internal/v1/ - CRD schema changes for MaaS resources (Tenant, MaaSAuthPolicy, etc.)
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.
- 12d ago First seen · 178 lines · 81 tokens per session scan A cc1635579aec
maas-nightly-qe-impact is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 5d ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,691 once invoked, about $0.0004 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 2026-08-30.
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