add-vertical

add-vertical is a skill for Claude Code, Codex from LamantinAI/mayak. It costs 67 tokens per session (9,708 once invoked), scanned A, original, MIT.

A development guide for adding a complete feature vertical: its business model, interface, database table, migration, repository, service, data models, endpoint, and tests. A feature vertical is all the code needed for one business area.

In plain words
What is it for?
Use it when adding an endpoint, entity, service, or other new feature area to the template.
Why use it?
It keeps each new feature organized across the project layers and provides an existing example to follow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; installed under .agents/ (shared by several agents); mentions AGENTS.md.

Good fit Use it when adding an endpoint, entity, service, or other new feature area to the template.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lamantinai/mayak/add-vertical
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 LamantinAI/mayak --skill add-vertical
Clone the repo
git clone --depth 1 https://github.com/LamantinAI/mayak

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 add-vertical

README.md
[![agentmods](https://agentmods.dev/badge/skills/lamantinai/mayak/add-vertical/github.svg)](https://agentmods.dev/skills/lamantinai/mayak/add-vertical)
Your own site
<a href="https://agentmods.dev/skills/lamantinai/mayak/add-vertical"><img src="https://agentmods.dev/badge/skills/lamantinai/mayak/add-vertical/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 add-vertical

Your own site · 80×15
<a href="https://agentmods.dev/skills/lamantinai/mayak/add-vertical"><img src="https://agentmods.dev/badge/skills/lamantinai/mayak/add-vertical.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,708 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 346
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • medium Agent Snooping · line 434
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
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 $0.00067 $0.09708
Opus 5 $0.00034 $0.04854
Sonnet 5 $0.00013 $0.01942
Haiku 4.5 $0.00007 $0.00971

Measured today against content hash 82bd53f9248c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

add-vertical 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 today.

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/add-vertical/SKILL.md · 558 lines

How it starts

The opening of the file, as written. The whole thing — 558 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add Vertical

This repository ships one worked vertical: reference_task while the template's own example is still here, your own once it has replaced it. Read those files before writing new ones — every constraint below is already satisfied in them, and copying is faster than rediscovering why each constraint exists.

The eleven files of a vertical

# File What it holds
1 project/domain/<name>.py Frozen dataclass and business constants. No framework imports.
2 project/domain/ports.py A Protocol per aggregate, speaking only in domain types.
3 project/infrastructure/persistence/orm_models.py The table, for Alembic's metadata only — nothing reads the ORM at runtime.
4 alembic/versions/<rev>_add_<name>s.py Autogenerated from #3, then read before it is trusted.
5 project/infrastructure/persistence/<name>_repository.py SQL, driver types, and the row → domain mapper.
6 project/application/<name>_service.py Orchestration and business rules. Depends on the Protocol, never on the repository.
7 project/application/<name>_dtos.py Request and response models, plus from_domain.
8 project/infrastructure/api/endpoints/<name>s.py Router and handlers. Parse, delegate, convert.
9 tests/application/test_<name>_vertical.py Service rules, wiring, HTTP surface — against a fake repository.
10 tests/infrastructure/test_<name>_repository.py The row mapper and the parameterisation of every query, without a database.
11 tests/functional/src/test_<name>s_api.py and test_<name>_repository.py The same paths against real HTTP and a real database.

Every file in that table is type-checked. MYPY_TARGETS covers all four test suites, so a fake that drifts from the Protocol it is annotated with fails make gate-types — pytest cannot see that at all, which is how one drifted unnoticed until 2026-08-18. Copying the reference vertical keeps you clear of it: those files are annotated already. A stub written by hand is not, unless its methods carry the port's exact signature, keyword-only parameters included.

Read the full file on GitHub · 558 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. today Changed · +51 lines 82bd53f9248c
  2. yesterday Changed · +43 lines 42d8cf1cff9b
  3. 3d ago Changed · +58 lines e6ca68cca13d
  4. 4d ago Changed · +35 lines 627ee25a5572
  5. 8d ago First seen · 371 lines · 67 tokens per session scan A 6b8bb2bb175c

Subscribe to this mod's changes

add-vertical is a skill published in the GitHub repository LamantinAI/mayak (5 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 9,708 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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