qubership-repository-compliance

qubership-repository-compliance is a skill for Claude Code, Codex from Netcracker/qubership-ai-packages. It costs 42 tokens per session (3,868 once invoked), scanned A, original, Apache-2.0.

A GitHub repository checker for Netcracker and Qubership projects. It reviews required files, workflows, reports, coverage, topics, and repository settings, and can fix confirmed issues.

In plain words
What is it for?
Use it to check a repository for compliance, identify failed requirements, and apply fixes after an audit when the required access and checks are available.
Why use it?
It helps find missing or incorrect repository requirements in one review. Its audit mode is read-only, so it does not change the repository by default.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it to check a repository for compliance, identify failed requirements, and apply fixes after an audit when the required access and checks are available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/netcracker/qubership-ai-packages/qubership-repository-compliance
Install

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.

Any agent
npx skills add Netcracker/qubership-ai-packages --skill qubership-repository-compliance
Clone the repo
git clone --depth 1 https://github.com/Netcracker/qubership-ai-packages

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin qubership-repository-compliance/plugin install qubership-repository-compliance after adding the marketplace above.

Wrote 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.

agentmods badge for qubership-repository-compliance

README.md
[![agentmods](https://agentmods.dev/badge/skills/netcracker/qubership-ai-packages/qubership-repository-compliance/github.svg)](https://agentmods.dev/skills/netcracker/qubership-ai-packages/qubership-repository-compliance)
Your own site
<a href="https://agentmods.dev/skills/netcracker/qubership-ai-packages/qubership-repository-compliance"><img src="https://agentmods.dev/badge/skills/netcracker/qubership-ai-packages/qubership-repository-compliance/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.

agentmods 80×15 button for qubership-repository-compliance

Your own site · 80×15
<a href="https://agentmods.dev/skills/netcracker/qubership-ai-packages/qubership-repository-compliance"><img src="https://agentmods.dev/badge/skills/netcracker/qubership-ai-packages/qubership-repository-compliance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,868 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.03868
Opus 5 $0.00021 $0.01934
Sonnet 5 $0.00008 $0.00774
Haiku 4.5 $0.00004 $0.00387

Measured 9d ago against content hash 0d8f91ea7f2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

qubership-repository-compliance 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.

agent-packages/qubership-repository-compliance/.apm/skills/qubership-repository-compliance/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Qubership repository compliance

Prerequisite

Require gh on PATH. Derive the GitHub host from the target repository remote and require gh auth status --active --hostname <host> to succeed. Never use --show-token. If gh is missing or authentication fails, stop and tell the user to install or authenticate GitHub CLI.

Do not query the repository Actions-permissions API (repos/{owner}/{repository}/actions/permissions*); none of the catalog checks depends on it. If a tool reports a 403 from this endpoint, ignore it and omit it from unavailable evidence and the user report.

If any other gh operation fails because the active token lacks permission, stop that operation and tell the user which repository operation needs additional access. Do not treat missing access as a compliance violation or request broader permissions yourself.

Permission boundary

Default to Audit. Audit is read-only: do not edit files, change GitHub settings, create pull requests, commit, push, merge, or close anything.

Apply reuses a complete Audit from the current task and rechecks only confirmed checks; run a full Audit only when none exists. Show the descriptive check names, exact targets, proposed file and external changes, and unavailable prerequisites. Apply only the checks or batch the user confirms, even if the initial request says to fix everything. Permission for a target repository does not cover Netcracker/.github or Netcracker/qubership-workflow-hub.

README remediation is always separate from other Apply work. Never include FILE-001 in an Apply batch. When it fails, ask whether the user wants the assistant to prepare a README change. After approval, edit only the README, show its diff, and ask the user to accept or revert it before committing, publishing, or combining it with other changes. If the user rejects it, revert only the assistant's README edit.

Keep finding IDs internal for catalog evaluation and fix routing. Outside the report table's ID column, use a clear descriptive check name in the user's language in every report, question, status, and confirmation. Accept an ID supplied by the user and map it to the descriptive name without asking them to remember the catalog.

Read the full file on GitHub · 144 lines

Files

What ships with it

4 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.

Changes

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.

  1. 9d ago Changed 0d8f91ea7f2d
  2. 12d ago First seen · 144 lines · 42 tokens per session scan A d7547ec94724

Subscribe to this mod's changes

qubership-repository-compliance is a skill published in the GitHub repository Netcracker/qubership-ai-packages (4 stars, last pushed 3d ago), licensed Apache-2.0. It adds 42 tokens to every session and 3,868 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 2026-08-31.

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