principle-boundary-discipline

principle-boundary-discipline is a skill for Claude Code, Cursor from backnotprop/pstack. It costs 46 tokens per session (379 once invoked), scanned A, a copy of principle-boundary-discipline, MIT.

A code-organisation rule that puts input checks and error handling at system boundaries, such as command-line arguments, configuration files, networks, and external services. Code inside the system can then rely on validated data and keep its business rules separate.

In plain words
What is it for?
Use it when connecting external APIs, parsing configuration, handling command-line input, designing public interfaces, or separating business logic from framework code.
Why use it?
It prevents repeated checks and framework details from spreading through the application, making the core logic easier to understand and test.

Skill for Claude CodeCursor

Written for Claude Code and Cursor: disable-model-invocation in frontmatter, but also shipped in a Cursor plugin.

Part of the pstack plugin — 61 skills, 2 agents shipped together

Good fit Use it when connecting external APIs, parsing configuration, handling command-line input, designing public interfaces, or separating business logic from framework code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/backnotprop/pstack/principle-boundary-discipline
About the project

pstack is a collection of plain Agent Skills and engineering principles that guide AI-assisted software development across coding agents such as Claude Code, Codex, Pi, Cursor, and OpenCode. It is for developers who want reusable practices for tasks including testing, technical writing, debugging, review, and coordinating agent work. The catalogue entries are the project's skills, agents, and plugin.

backnotprop/pstack · 3,158 stars · on GitHub

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 backnotprop/pstack --skill principle-boundary-discipline
Clone the repo
git clone --depth 1 https://github.com/backnotprop/pstack

Made for: Claude Code, Cursor.

Or install pstack, the plugin that ships this one along with the rest of its 61 skills, 2 agents.

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 principle-boundary-discipline

README.md
[![agentmods](https://agentmods.dev/badge/skills/backnotprop/pstack/principle-boundary-discipline/github.svg)](https://agentmods.dev/skills/backnotprop/pstack/principle-boundary-discipline)
Your own site
<a href="https://agentmods.dev/skills/backnotprop/pstack/principle-boundary-discipline"><img src="https://agentmods.dev/badge/skills/backnotprop/pstack/principle-boundary-discipline/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 principle-boundary-discipline

Your own site · 80×15
<a href="https://agentmods.dev/skills/backnotprop/pstack/principle-boundary-discipline"><img src="https://agentmods.dev/badge/skills/backnotprop/pstack/principle-boundary-discipline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 379 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
  • Socket pass 15 Sept 2026
  • Snyk pass 15 Sept 2026
How audits are shown
Origin 98% copy Near-identical to another mod 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 $0.00046 $0.00379
Opus 5.5 $0.00018 $0.00152
Sonnet 5.5 $0.00009 $0.00076
Haiku 4.5 $0.00005 $0.00038

Measured 1mo ago against content hash 62ac2862c2ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

principle-boundary-discipline 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 1mo 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.

Origin

This is a copy

98% identical to principle-boundary-discipline — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/principle-boundary-discipline/SKILL.md · 35 lines

What it actually says

Boundary Discipline

Place validation, type narrowing, and error handling at system boundaries. Trust internal code unconditionally. Business logic lives in pure functions. The shell is thin and mechanical.

Why: Scattered validation is noisy, redundant, and gives a false sense of safety. Keep logic out of framework wiring so it can be tested without the framework.

The pattern:

  • At boundaries (CLI args, config files, external APIs, network protocols): validate, return errors, handle defensively.
  • Inside the system: typed data, error propagation, no re-validation. Trust the types.
  • Across the boundary. Expose domain concepts, not the boundary's private representation. Keep general-purpose mechanism inside and special-purpose policy at the edge.

Applications:

Validation and error handling:

  • Validate config at parse time (the boundary), not inside business logic
  • Parse raw data into domain types at the boundary
  • Do not re-export transport, storage, framework, or wire types through the public surface
  • No redundant nil checks deep in call chains if the boundary already validated

Code organization:

  • Business logic in pure functions with no framework dependencies
  • Parse functions: pure transforms from raw bytes to typed state
  • Prompt construction: structured state in, string out
  • Scoring and assessment: pure transforms from state to results

The tests:

  • "Is this data crossing a system boundary right now?" If not, validation is redundant.
  • "Can this be a pure function that the shell just calls?" If yes, extract it.
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. 1mo ago Changed 62ac2862c2ca
  2. 2mo ago First seen · 35 lines · 46 tokens per session scan A ab3c690ce361

Subscribe to this mod's changes

principle-boundary-discipline is a skill published in the GitHub repository backnotprop/pstack (3,158 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 379 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to principle-boundary-discipline, differing in 2 lines, and is treated as a copy.

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