Skip to content
Agentmart
Submit a tool

intended-vs-implemented

The method for finding the gap between what a system is supposed to do and what the code actually does — the class of bug generic scanners miss because they…

Skill by phuryn

IndexedMIT★ 27,348
Write a review

Chalk Labs

Need help deploying intended-vs-implemented?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/phuryn-intended-vs-implemented

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

The method for finding the gap between what a system is supposed to do and what the code actually does — the class of bug generic scanners miss because they have no model of intent. Defines what counts as documented intent, what counts as implementation evidence, which mismatches matter, and how to avoid hand-wavy findings. Use when auditing AI-built code, reviewing access control against documented permissions, or checking whether a codebase matches its own documentation.

Use cases: security-scanning, code-review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/intended-vs-implemented

What's inside

Skill name
intended-vs-implemented
Description
The method for finding the gap between what a system is supposed to do and what the code actually does — the class of bug generic scanners miss because they have no model of intent. Defines what counts as documented intent, what counts as implementation evidence, which mismatches matter, and how to avoid hand-wavy findings. Use when auditing AI-built code, reviewing access control against documented permissions, or checking whether a codebase matches its own documentation.
License
MIT
Instructions
39 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Intended vs Implemented has moved

`intended-vs-implemented` is maintained in [phuryn/product-engineering](https://github.com/phuryn/product-engineering/tree/main/ai-shipping/skills/intended-vs-implemented), in its `ai-shipping` plugin, with the rest of the AI Shipping Kit. This skill stays in pm-skills only so an agent that loads it knows where it went.

- **`ai-shipping:intended-vs-implemented` is installed:** use it, not this copy.
- **It isn't:** tell the user that `intended-vs-implemented` moved and how to install it, then help with the task as you would without it:

  ```bash
  claude plugin marketplace add phuryn/product-engineering
  claude plugin install ai-shipping@product-engineering
  ```

  Other agents: [the repository's README](https://github.com/phuryn/product-engineering#install). Once it's installed, turn off `pm-ai-shipping` here, so this copy no longer loads beside it.

From phuryn/pm-skills, MIT.

More from phuryn/pm-skills

Signals

Stars
27,348
Forks
2,825
Open issues
29
Last commit (this folder)
Oct 10, 2026 (21 days ago)
Last release
Oct 10, 2026 (20 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from phuryn

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get intended-vs-implemented running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying intended-vs-implemented?

CallGet help
Cite this page

intended-vs-implemented skill. Agent Mart. https://agentmart.dev/skills/phuryn-intended-vs-implemented (last updated 2026-10-24)