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/english-developer-style)<a href="https://agentmods.dev/rules/netcracker/qubership-ai-packages/english-developer-style"><img src="https://agentmods.dev/badge/rules/netcracker/qubership-ai-packages/english-developer-style/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/english-developer-style"><img src="https://agentmods.dev/badge/rules/netcracker/qubership-ai-packages/english-developer-style.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 | $0.00214 | $0.00214 |
| Opus 5.5 | $0.00086 | $0.00086 |
| Sonnet 5.5 | $0.00043 | $0.00043 |
| Haiku 4.5 | $0.00021 | $0.00021 |
Grade A, and why
english-developer-style 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 13d 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
Load english-developer-style before writing or rewording any English text a developer will read: a code comment or
doc comment, a commit message, a pull request title or description, a changelog entry, a documentation page, an error or
log message, a UI string, a localization file. A task that ends in a commit ("fix the bug", "add the feature", "write
tests") also ends in comments, a commit message, and a description: load the skill before the first comment is written,
not when the description is due. Where an authoring skill for the artifact is installed (javadoc-authoring,
godoc-authoring, rustdoc-authoring, jsdoc-authoring, pythondoc-authoring, change-description-authoring,
docs-page-authoring), load it as well.
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.
- 13d ago Changed · -40 lines · +214 tokens per session e6e830aa5469
- 2mo ago First seen · 53 lines · 0 tokens per session scan A 77065463f554
english-developer-style is a cursor rule published in the GitHub repository Netcracker/qubership-ai-packages (6 stars, last pushed today), licensed Apache-2.0. It adds 214 tokens to every session, about $0.0009 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 2026-08-31.
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