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.
git clone --depth 1 https://github.com/Netcracker/qubership-ai-packagesWrote 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/rules/netcracker/qubership-ai-packages/qubership-workflow-hub-usage)<a href="https://agentmods.dev/rules/netcracker/qubership-ai-packages/qubership-workflow-hub-usage"><img src="https://agentmods.dev/badge/rules/netcracker/qubership-ai-packages/qubership-workflow-hub-usage/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/rules/netcracker/qubership-ai-packages/qubership-workflow-hub-usage"><img src="https://agentmods.dev/badge/rules/netcracker/qubership-ai-packages/qubership-workflow-hub-usage.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 | $0.00000 | $0.00234 |
| Opus 5 | $0.00000 | $0.00117 |
| Sonnet 5 | $0.00000 | $0.00047 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
qubership-workflow-hub-usage 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.
What it actually says
Qubership Workflow Hub Usage
When designing, writing, reviewing, or debugging .github/workflows/*.yml files
that consume netcracker/qubership-workflow-hub actions or Netcracker/.github templates,
apply the qubership-workflow-conventions skill.
When a workflow step needs a specific Qubership action (Docker build/push,
version/tag rendering, Maven/npm/Python publishing, package cleanup, Helm charts,
security scans, email notifications, etc.) and you need to find the right action or read its README,
apply the qubership-actions-guide skill.
When the user asks for a CI/CD workflow that may already exist as a curated
Netcracker template (Docker build/release, Maven/npm/Python release, Helm chart
release, security scan, SBOM, PR hygiene, license/lint, GHCR cleanup),
apply the qubership-templates-guide skill.
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 · 21 lines · 0 tokens per session scan A ea6a01f61b58
qubership-workflow-hub-usage is a cursor rule published in the GitHub repository Netcracker/qubership-ai-packages (4 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 234 tokens. 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 2026-08-31.
Other cursor rules, from other repositories
agents-shipgate
Run Agents Shipgate as the deterministic merge gate for AI-generated agent capability changes.
beanstalk-deploy
Robust deployment patterns for Elastic Beanstalk with GitHub Actions, Pulumi, and edge case handling.
workflow-ci
Testing and verification workflow expectations.
cursor-asdd
ASDD contribution rules for this repository.
agents
Agent engineering standards — Agents (TR-SEC-003).
infra-devops
Infrastructure, Cloud, Terraform, Docker & CI/CD Agent.