platform: Skill for Claude Code

.claude/skills/layer-ownership/SKILL.md

layer-ownership is a skill for Claude Code from dashpay/platform. It costs 53 tokens per session (306 once invoked), scanned A, original, MIT.

A code-planning and review guide for placing changes in the correct repository, package, or module. It uses a project's ownership rules to keep responsibilities in the right layer.

In plain words
What is it for?
Use it when planning code, implementing changes, or reviewing a pull request in a multi-repository project, especially when deciding where new responsibilities belong.
Why use it?
It reduces misplaced business logic, duplicated validation, and dependencies pointing in the wrong direction.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is dashpay/platform's own configuration. It tells Claude Code how to work on platform 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 platform configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dashpay/platform. 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/dashpay/platform/v5.1-dev/.claude/skills/layer-ownership/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dashpay/platform

Made for: Claude Code.

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 layer-ownership

README.md
[![agentmods](https://agentmods.dev/badge/skills/dashpay/platform/layer-ownership/github.svg)](https://agentmods.dev/skills/dashpay/platform/layer-ownership)
Your own site
<a href="https://agentmods.dev/skills/dashpay/platform/layer-ownership"><img src="https://agentmods.dev/badge/skills/dashpay/platform/layer-ownership/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 layer-ownership

Your own site · 80×15
<a href="https://agentmods.dev/skills/dashpay/platform/layer-ownership"><img src="https://agentmods.dev/badge/skills/dashpay/platform/layer-ownership.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 306 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 $0.00053 $0.00306
Opus 5.5 $0.00021 $0.00122
Sonnet 5.5 $0.00011 $0.00061
Haiku 4.5 $0.00005 $0.00031

Measured 2d ago against content hash f205f3d961c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

layer-ownership 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 2d 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.

.claude/skills/layer-ownership/SKILL.md · 31 lines

What it actually says

Layer Ownership

Use during planning, implementation, and PR reviews. Treat every repository in dashpay as an owned layer. Reviews are read-only unless the user requests changes or comments.

Workflow

  1. Read book/src/contributing/coding-conventions.md completely from the dashpay/platform checkout.
  2. For planning, map each planned responsibility to its owner before naming files. Inspect only the minimal existing boundary, callers, dependency manifests, and owned dashpay repositories needed to settle placement.
  3. During implementation, apply that placement and recheck the actual changed paths before handoff.
  4. For a PR, resolve exact base and head SHAs, then classify every changed path. Report only misplaced responsibilities, not unrelated issues.

Do not rescan unchanged subsystems. The conventions are authoritative.

Output

For every item, explicitly name current and target owner: repository, crate/package, and module (current: new for new code). For PRs, lead with pass or changes requested; each finding gives the file/line, misplaced responsibility, and smallest move. State reviewed SHAs and unavailable evidence.

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. 2d ago First seen · 31 lines · 53 tokens per session scan A f205f3d961c9

Subscribe to this mod's changes

layer-ownership is a skill published in the GitHub repository dashpay/platform (93 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 306 once invoked, about $0.0002 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 2026-10-28.

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