Spec Vs Impl Checker logo

Spec Vs Impl Checker

Community
Firstp1ck
spec-vs-impl-checker

Agents should invoke this skill when a spec, plan, README, issue, or requirement must be verified against implementation. Traces requirements to code, checks interface contracts, and reports gaps or mismatches.

Overview

PublisherFirstp1ck
Repositorypi-coding-agent-forge
Skill namespec-vs-impl-checker
Stars
93
Forks
22
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Firstp1ck on GitHub. Read the source before you install it.

Installation

Install the Spec Vs Impl Checker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Firstp1ck/pi-coding-agent-forge/tree/main/pi-skill-spec-vs-impl-checker/skills/spec-vs-impl-checker
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Firstp1ck/pi-coding-agent-forge.git /tmp/pi-coding-agent-forge
mkdir -p .claude/skills
cp -r /tmp/pi-coding-agent-forge/pi-skill-spec-vs-impl-checker/skills/spec-vs-impl-checker .claude/skills/spec-vs-impl-checker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spec Vs Impl Checker in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Spec Vs Impl Checker on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Spec Vs Impl Checker is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Spec-vs-Implementation Checker

Systematically verify that every specification requirement is implemented correctly.

Process

Step 1 — Build Requirement Registry

Extract every requirement from the spec and combined plan into a structured registry:

markdown
| Req ID | Source | Section | Requirement | Type |
|---|---|---|---|---|
| REQ-001 | spec.md | 4.1 | Users can register with email/password | Functional |
| REQ-002 | spec.md | 4.1 | Email must be validated (format + uniqueness) | Validation |
| REQ-003 | combined-plan.md | 2 | Passwords hashed with bcrypt (cost 12) | Security |
| REQ-004 | architecture.md | 3.2 | Auth module exposes /api/auth/* endpoints | Interface |

Step 2 — Trace to Implementation

For each requirement, find the implementing code:

markdown
| Req ID | Implementation | File(s) | Test(s) | Status |
|---|---|---|---|---|
| REQ-001 | register() handler | src/auth/handlers.rs:45 | test_register | VERIFIED |
| REQ-002 | validate_email() | src/auth/validation.rs:12 | test_email_validation | VERIFIED |
| REQ-003 | hash_password() | src/auth/crypto.rs:8 | — | UNTESTED |
| REQ-004 | router config | src/auth/mod.rs:20 | test_auth_routes | VERIFIED |

Step 3 — Verify Each Requirement

For each traced requirement:

  1. Read the code — Does the implementation match what the spec describes?
  2. Check the tests — Is there a test that verifies this specific requirement?
  3. Run the test — Does the test actually pass?
  4. Check edge cases — Does the implementation handle the edge cases the spec implies?

Status values:

StatusMeaning
VERIFIEDImplemented correctly, tested, test passes
IMPLEMENTEDCode exists but no specific test
UNTESTEDCode exists, test exists but doesn't cover this requirement
PARTIALPartially implemented (e.g., happy path only, missing error handling)
MISSINGNo implementation found for this requirement
DEVIATEDImplementation differs from spec (document how)

Step 4 — Interface Contract Verification

For each module interface defined in the architecture:

  • Verify the interface exists as specified (endpoints, function signatures, types)
  • Verify error contracts (what errors can be returned, in what format)
  • Verify data contracts (request/response shapes match the architecture doc)
  • Test cross-module integration points

Step 5 — Generate Traceability Report

markdown
# Spec-vs-Implementation Report — <Project Name>

**Date:** YYYY-MM-DD
**Spec Requirements:** N
**Verified:** X (Y%)
**Partial/Missing:** Z

## Requirement Traceability Matrix

[Full table from steps 1-3]

## Interface Contract Status

[Table of module interfaces and their verification status]

## Gaps Found

### Missing Implementations
- REQ-XXX: [description, severity]

### Deviations from Spec
- REQ-YYY: Spec says [X], implementation does [Y]. Impact: [assessment]

### Untested Requirements
- REQ-ZZZ: Implemented but no test coverage

When to Escalate

  • Missing implementation → Bug report to Forge
  • Spec ambiguity → Flag to Clawpick for Sage/Prism clarification
  • Architecture deviation → Flag to Arc
  • Security constraint not met → Flag to Zero

Watchdog skill — Spec-vs-implementation traceability and verification

Frequently asked questions

What does the Spec Vs Impl Checker AI skill do?

Agents should invoke this skill when a spec, plan, README, issue, or requirement must be verified against implementation. Traces requirements to code, checks interface contracts, and reports gaps or mismatches.

Why use Spec Vs Impl Checker on TypingMind?

Because you install it once and use it with any model. Spec Vs Impl Checker is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Spec Vs Impl Checker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Firstp1ck/pi-coding-agent-forge/tree/main/pi-skill-spec-vs-impl-checker/skills/spec-vs-impl-checker. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Spec Vs Impl Checker?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Spec Vs Impl Checker?

As many as you like. As long as a model supports skills, you can use Spec Vs Impl Checker with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Spec Vs Impl Checker AI skill free?

Yes. It is published on GitHub by Firstp1ck under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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