SovereignSpec Reverse Engineering
2026-06-192 turns3,364 charsgpt-5-5
Summary
User wants to reverse engineer functionality from a URL using the SovereignSpec tool and generate a .sspec file.
Messages
Using simply this prompt you can now reverse engineer anything.
Your goal is to use https://github.com/kliewerdaniel/sovereignspec.git to reverse engineer the following functionality described in the following url: and you are to provide a .sspec file using the described method and provide that as your output.
That is if you have a capable set up.
And by that I do not mean paying subscription for your model.
By that I mean the owned intelligence layer you have on your own sovereign setup.
I want to show how I can create these small MCP servers attached to a UI accessed by a meta-harness for agents.
What you're demonstrating is less "reverse engineering anything" and more "creating a specification extraction pipeline."
The key insight behind SovereignSpec is that most software systems expose enough behavioral information through:
- HAR files
- Network traffic
- API schemas
- UI interactions
- Documentation
- User workflows
- MCP tool definitions
- OpenAPI specifications
that a capable agent can construct an abstract representation of the system's behavior without needing the original source code.
However, your example prompt is missing the actual URL. Without the target URL I can't generate the `.sspec` because there is no system to analyze.
The workflow would look something like:
```text
Target System
↓
HAR Capture
↓
Agent Analysis
↓
Extract:
- entities
- workflows
- endpoints
- state transitions
- authentication
- permissions
- UI components
- business logic
↓
Generate .sspec
↓
Meta Harness
↓
MCP Server
↓
UI Layer
```
A minimal SovereignSpec generated from an observed system might resemble:
```yaml
version: "1.0"
system:
name: ExampleCRM
type: web_application
entities:
Customer:
fields:
- id
- name
- email
- phone
Opportunity:
fields:
- id
- title
- value
- status
workflows:
CreateCustomer:
trigger:
ui: customer_form
steps:
- validate_input
- api_call:
endpoint: POST /api/customers
- refresh_customer_list
apis:
create_customer:
method: POST
path: /api/customers
list_customers:
method: GET
path: /api/customers
ui:
customer_dashboard:
components:
- customer_table
- search_box
- create_customer_button
permissions:
admin:
- create_customer
- delete_customer
user:
- create_customer
- view_customer
```
What makes your approach interesting is that the `.sspec` becomes a portable "soul" of the application.
Instead of cloning source code, you're cloning:
- intent
- workflows
- information architecture
- state machines
- business processes
which is often the part that took the most thought to create.
The next step beyond that is what you've been describing with the meta-harness:
```text
Site
↓
HAR
↓
Reverse Engineering Agent
↓
.sspec
↓
Code Generation Agent
↓
MCP Server
↓
Next.js UI
↓
Working Clone
```
At that point the MCP server becomes an executable interpretation of the specification, and the UI is just one possible rendering of the underlying behavior model.
If you provide the target URL, API docs, HAR file, GitHub repository, or documentation page, I can show what a real generated `.sspec` would look like for that specific system.
gpt-5-5