strict-enforcement

strict-enforcement is a skill for Claude Code from povvo/claudikins-kernel. It costs 44 tokens per session (2,610 once invoked), scanned A, original, MIT.

A verification process for checking whether an implementation works and is ready to ship. It combines automated checks with visible proof, such as test output, command-line results, or screenshots, and includes a human approval step.

In plain words
What is it for?
Use it to run tests, linting, type checks, builds, and other checks; review actual results; decide pass or fail; and confirm that code is safe to release.
Why use it?
It prevents treating passing tests alone as proof that the feature works. Failed verification blocks the related shipping process.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the claudikins-kernel plugin — 4 skills, 4 commands, 7 agents, 8 hooks shipped together

Good fit Use it to run tests, linting, type checks, builds, and other checks; review actual results; decide pass or fail; and confirm that code is safe to release.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/povvo/claudikins-kernel/strict-enforcement
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 povvo/claudikins-kernel --skill strict-enforcement
Clone the repo
git clone --depth 1 https://github.com/povvo/claudikins-kernel

Made for: Claude Code.

Or install claudikins-kernel, the plugin that ships this one along with the rest of its 4 skills, 4 commands, 7 agents, 8 hooks.

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 strict-enforcement

README.md
[![agentmods](https://agentmods.dev/badge/skills/povvo/claudikins-kernel/strict-enforcement/github.svg)](https://agentmods.dev/skills/povvo/claudikins-kernel/strict-enforcement)
Your own site
<a href="https://agentmods.dev/skills/povvo/claudikins-kernel/strict-enforcement"><img src="https://agentmods.dev/badge/skills/povvo/claudikins-kernel/strict-enforcement/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 strict-enforcement

Your own site · 80×15
<a href="https://agentmods.dev/skills/povvo/claudikins-kernel/strict-enforcement"><img src="https://agentmods.dev/badge/skills/povvo/claudikins-kernel/strict-enforcement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,610 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00044 $0.02610
Opus 5 $0.00022 $0.01305
Sonnet 5 $0.00009 $0.00522
Haiku 4.5 $0.00004 $0.00261

Measured 10d ago against content hash 3614c9f03428, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

strict-enforcement scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. **See it working** - Screenshots, curl responses, CLI output. Actual evidence.
skills/strict-enforcement/SKILL.md · 297 lines

How it starts

The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Strict Enforcement Verification Methodology

When to use this skill

Use this skill when you need to:

  • Run the claudikins-kernel:verify command
  • Validate implementation before shipping
  • Decide pass/fail verdicts
  • Check code integrity after changes
  • Enforce cross-command gates

Core Philosophy

"Evidence before assertions. Always." - Verification philosophy

Never claim code works without seeing it work. Tests passing is not enough. Claude must SEE the output.

The Three Laws

  1. See it working - Screenshots, curl responses, CLI output. Actual evidence.
  2. Human checkpoint - No auto-shipping. Human reviews evidence and decides.
  3. Exit code 2 gates - Verification failures block claudikins-kernel:ship. No exceptions.

Verification Phases

Phase 1: Automated Quality Checks

Run the automated checks first. Fast feedback.

Check Command Pattern What It Catches
Tests npm test / pytest / cargo test Logic errors, regressions
Lint npm run lint / ruff / clippy Style issues, common bugs
Types tsc / mypy / cargo check Type mismatches, interface drift
Build npm run build / cargo build Compilation errors, bundling issues

Flaky Test Detection (C-12):

Test fails?
├── Re-run failed tests
├── Pass 2nd time?
│   └── Yes → STOP: [Accept flakiness] [Fix tests] [Abort]
└── Fail 2nd time?
    ├── Run isolated
    └── Still fail? → STOP: [Fix] [Skip] [Abort]

Phase 2: Output Verification (catastrophiser)

This is the feedback loop that makes Claude's code actually work.

Project Type Verification Method Evidence
Web app Start server, screenshot, test flows Screenshots, console logs
API Curl endpoints, check responses Status codes, response bodies
CLI Run commands, capture output stdout, stderr, exit codes
Library Run examples, check results Output values, test coverage
Service Check logs, verify health endpoint Log patterns, health responses

Read the full file on GitHub · 297 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. 10d ago First seen · 297 lines · 44 tokens per session scan A 3614c9f03428

Subscribe to this mod's changes

strict-enforcement is a skill published in the GitHub repository povvo/claudikins-kernel (126 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 2,610 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.