qubership-ai-packages: Skill for Claude Code

.agents/skills/apm-authoring/SKILL.md

apm-authoring is a skill for Claude Code, Codex from Netcracker/qubership-ai-packages. It costs 68 tokens per session (5,022 once invoked), scanned A, original, Apache-2.0.

A set of rules for creating and organizing APM packages, which bundle instructions, skills, prompts, agents, and lifecycle scripts for AI coding tools.

In plain words
What is it for?
Use it when editing apm.yml, .apm files, agent-packages directories, or the instructions, skills, prompts, agents, and hooks inside them.
Why use it?
It helps package authors use the expected file layout and naming conventions, so agents and services can receive the package correctly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

This is Netcracker/qubership-ai-packages's own configuration. It tells Claude Code and Codex how to work on qubership-ai-packages itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything qubership-ai-packages configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Netcracker/qubership-ai-packages. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Netcracker/qubership-ai-packages/main/.agents/skills/apm-authoring/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Netcracker/qubership-ai-packages

Made for: Claude Code, Codex.

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 apm-authoring

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/netcracker/qubership-ai-packages/apm-authoring"><img src="https://agentmods.dev/badge/skills/netcracker/qubership-ai-packages/apm-authoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,022 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 $0.00068 $0.05022
Opus 5 $0.00034 $0.02511
Sonnet 5 $0.00014 $0.01004
Haiku 4.5 $0.00007 $0.00502

Measured 11d ago against content hash 1832abc93a14, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

apm-authoring 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 11d 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.

.agents/skills/apm-authoring/SKILL.md · 424 lines

How it starts

The opening of the file, as written. The whole thing — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Authoring APM packages

APM is a package manager for AI-agent primitives: instructions (always-on rules), skills (on-demand how-to guides), prompts (user-invoked slash-commands), agents (sub-agent personas with tool boundaries) and hooks (lifecycle scripts). A platform can ship its conventions as APM packages so service developers receive them as apm dependencies and agents like Claude Code, Copilot and Cursor pick them up natively.

This skill is the contract between library authors and the agents that read their packages. Apply it whenever you touch apm.yml, anything under a .apm/ tree, or set up a new agent-packages/<name>/.

Package layout

A library repo can host one or more APM packages. Each one lives under agent-packages/<package-name>/ so the path itself is the disambiguator:

agent-packages/
└── <package-name>/                  # = `name:` in apm.yml
    ├── apm.yml
    └── .apm/
        ├── instructions/            # *.instructions.md — always-on rules
        │   └── <package-name>.instructions.md
        ├── skills/                  # SKILL.md — on-demand how-tos
        │   └── <package-name>/
        │       └── SKILL.md
        ├── prompts/                 # avoid — Codex skips prompts; use a user-invoked skill
        │   └── <name>.prompt.md
        ├── agents/                  # optional — *.agent.md, sub-agent personas
        │   └── <name>.agent.md
        └── hooks/                   # optional — lifecycle scripts

Rules:

  • <package-name> is descriptive and unique (context-propagation-go-usage, hardened-dockerfile-usage), not a generic placeholder like user-guide. Multiple packages can sit side-by-side in one repo, so the directory name has to identify the package on its own.
  • A package holds a coherent set of primitives (instructions, skills, prompts, agents, hooks) that share an audience and a trigger surface (e.g. <lib>-usage for day-to-day code; a separate <lib>-troubleshooting if the failure-mode catalogue is large enough to deserve its own activation). Bundle by topic, not by file count — a one-skill package and a five-skill package are both fine if each set is internally coherent.
  • An auto-triggered skill needs a paired instructions file. Without the trigger merged into AGENTS.md / CLAUDE.md the agent has no signal to pull the skill in. Keep names aligned so the link is obvious from the tree. Two cases need no instruction: a small always-true rule may ship as a standalone instruction with no skill behind it (see next section), and a user-invoked skill — the replacement for a slash-command — carries its activation rule in its own description:, so the user invokes it by name and no paired instruction is needed (see "Agents, hooks, and prompts").

Read the full file on GitHub · 424 lines

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. 11d ago First seen · 424 lines · 68 tokens per session scan A 1832abc93a14

Subscribe to this mod's changes

apm-authoring is a skill published in the GitHub repository Netcracker/qubership-ai-packages (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 68 tokens to every session and 5,022 once invoked, about $0.0003 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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