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 quay/ai-helpers --skill konflux-advisorgit clone --depth 1 https://github.com/quay/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/quay/ai-helpers/konflux-advisor)<a href="https://agentmods.dev/skills/quay/ai-helpers/konflux-advisor"><img src="https://agentmods.dev/badge/skills/quay/ai-helpers/konflux-advisor/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/quay/ai-helpers/konflux-advisor"><img src="https://agentmods.dev/badge/skills/quay/ai-helpers/konflux-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00045 | $0.00922 |
| Opus 5 | $0.00023 | $0.00461 |
| Sonnet 5 | $0.00009 | $0.00184 |
| Haiku 4.5 | $0.00005 | $0.00092 |
Grade A, and why
konflux-advisor 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 5d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Konflux Advisor
Consult the user's NotebookLM knowledgebase before answering Konflux questions. Do NOT rely on web search or training data alone — the nlm notebooks contain curated, authoritative Konflux documentation.
Prerequisites
Before querying notebooks, verify nlm is available:
which nlm
If nlm is not found, stop and tell the user:
The
nlmCLI is required but not installed. Install it with:pipx install nlm nlm loginAfter installing, run
nlm loginto authenticate with your Google account, then re-run this skill.
Do NOT proceed with notebook queries if nlm is missing — the skill cannot function without it.
Notebook Access
After confirming nlm is installed, verify the required notebooks are accessible:
nlm notebook list --json
Check the JSON output for both notebook IDs:
6916b269-d239-48af-870e-01c90da5345d— Konflux User Advisor4af834bc-eeca-4ad3-95d0-aaff040085ba— Quay Konflux Processes
If either notebook is missing from the list, tell the user which one(s) they need and how to get access:
You're missing the following NotebookLM notebook(s):
Notebook Link Konflux User Advisor https://notebooklm.google.com/notebook/6916b269-d239-48af-870e-01c90da5345d Quay Konflux Processes https://notebooklm.google.com/notebook/4af834bc-eeca-4ad3-95d0-aaff040085ba Open the link(s) above in your browser — this adds the notebook to your Google account. Then run
nlm notebook listto confirm it appears.
If only one notebook is missing, still proceed with the other one and note the gap in your response.
Sources (Priority Order)
1. Konflux User Advisor (nlm) — Always Query First
nlm notebook query 6916b269-d239-48af-870e-01c90da5345d "<question>"
54 curated upstream Konflux sources: CRD specs, user guides, integration testing, Enterprise Contract, release processes, pipelines, and more.
This is the primary source. Query it before anything else.
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.
- 5d ago First seen · 101 lines · 45 tokens per session scan A 7d0736c73ac5
konflux-advisor is a skill published in the GitHub repository quay/ai-helpers (3 stars, last pushed 23d ago), licensed MIT. It adds 45 tokens to every session and 922 once invoked, about $0.0002 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 2026-09-04.
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