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Eval Business Logic

Community
Ibrahim-3d
eval-business-logic

Specialized business logic evaluator for the Evaluate-Loop. Use this for evaluating tracks that implement core product logic — pipelines, dependency resolution, state machines, pricing/tier enforcement, packaging. Checks feature correctness against product rules, edge cases, state transitions, data flow, and user journey completeness. Dispatched by loop-execution-evaluator when track type is 'business-logic', 'generator', or 'core-feature'. Triggered by: 'evaluate logic', 'test business rules', 'verify business rules', 'check feature'.

Overview

PublisherIbrahim-3d
Repositoryorchestrator-supaconductor
Skill nameeval-business-logic
Stars
378
Forks
38
Bundled files
Instructions only
LicenseAGPL-3.0
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 Ibrahim-3d on GitHub. Read the source before you install it.

Installation

Install the Eval Business Logic 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.
  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/Ibrahim-3d/orchestrator-supaconductor.git /tmp/orchestrator-supaconductor
mkdir -p .claude/skills
cp -r /tmp/orchestrator-supaconductor/skills/eval-business-logic .claude/skills/eval-business-logic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Eval Business Logic 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 Eval Business Logic 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 Eval Business Logic 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.

Business Logic Evaluator Agent

Specialized evaluator for tracks that implement core product logic — generation pipelines, state machines, pricing, or other business-rule-heavy features.

When This Evaluator Is Used

Dispatched by loop-execution-evaluator when the track involves:

  • Core product pipeline logic
  • State machine or workflow systems
  • Pricing tier enforcement
  • Dependency resolution between deliverables
  • Download or packaging features

Inputs Required

  1. Track's spec.md and plan.md
  2. conductor/product.md — product rules (deliverables, tiers, dependencies)
  3. Project-specific pipeline/prompt configurations (if applicable)
  4. Data definition files (e.g., asset definitions, feature configs)
  5. Implementation code being evaluated

Evaluation Passes (6 checks)

Pass 1: Product Rules Compliance

Check against rules defined in conductor/product.md:

RuleWhat to Verify
DeliverablesAll defined deliverables are implemented and functional
DependenciesEach deliverable's dependencies are correctly enforced
Processing orderSequential processing respects dependency chain
Tier systemFree tier limitations enforced, paid tier unlocks correct features
PricingPricing model matches product spec (one-time, subscription, etc.)
State rulesState transitions (e.g., lock/unlock, draft/publish) propagate correctly
markdown
### Product Rules: PASS / FAIL
- Rules checked: [count]
- Violations: [list rule: actual behavior]
- Deliverables functional: [X]/[total]

Pass 2: Feature Correctness

For each feature in the spec, verify it works correctly:

CheckMethod
Happy pathPrimary user flow produces expected result
Input validationInvalid inputs rejected with clear messaging
Output correctnessGenerated data matches expected format/structure
State mutationsState changes are correct and complete
Side effectsDownstream effects trigger correctly (e.g., dependency propagation)
markdown
### Feature Correctness: PASS / FAIL
- Features tested: [count]
- Correct: [count]
- Failures: [describe each]

Pass 3: Edge Cases

ScenarioWhat to Verify
Empty stateFirst-time user with no data
Boundary valuesMax input length, empty inputs, special characters
Concurrent operationsWhat happens if user triggers 2 operations at once
Network failure mid-operationPartial state handled correctly
Re-processingRe-running an operation on existing data prompts confirmation if needed
All items locked/finalizedUI reflects that no further changes are possible
Tier limitsExceeding free tier limit shows upgrade prompt
markdown
### Edge Cases: PASS / FAIL
- Scenarios checked: [count]
- Unhandled: [list]
- User impact: [describe]

Pass 4: State Transitions

Verify state machine correctness for your project's state model. Example pattern:

StateValid Transitions
emptyprocessing (when user triggers action)
processingready (success) or error (failure)
readylocked (user finalizes) or processing (re-process)
lockedoutdated (dependency changed) or ready (unlock)
outdatedprocessing (user re-processes)
errorprocessing (retry)

Adapt the state table above to match your project's actual states.

markdown
### State Transitions: PASS / FAIL
- States implemented: [list]
- Invalid transitions possible: [list]
- Missing transitions: [list]

Pass 5: Data Flow

CheckWhat to Verify
Input → ProcessingUser form data correctly feeds into processing pipeline
Processing → OutputResults stored/displayed correctly
Output → PersistenceResults saved to store/database
Cross-componentData shared correctly between components
Stale dataNo stale renders after state changes
markdown
### Data Flow: PASS / FAIL
- Flow verified: [input → output]
- Stale data issues: [describe]
- Data loss points: [list]

Pass 6: User Journey Completeness

Walk through the complete user journey for the feature under evaluation. Example structure:

1. User provides input (form, selection, etc.)
2. System processes input
3. User reviews output
4. User can lock/finalize results
5. System handles dependencies between outputs
6. User views all deliverables
7. User can export/download results
8. User can re-process any unlocked item
9. Locked items show "outdated" if dependencies change

Adapt the journey steps above to match your project's actual user flow.

markdown
### User Journey: PASS / FAIL
- Steps completed: [X]/[total]
- Broken at step: [which]
- User experience: [smooth / friction at: describe]

Verdict Template

markdown
## Business Logic Evaluation Report

**Track**: [track-id]
**Evaluator**: eval-business-logic
**Date**: [YYYY-MM-DD]

### Results
| Pass | Status | Issues |
|------|--------|--------|
| 1. Product Rules | PASS/FAIL | [details] |
| 2. Feature Correctness | PASS/FAIL | [details] |
| 3. Edge Cases | PASS/FAIL | [details] |
| 4. State Transitions | PASS/FAIL | [details] |
| 5. Data Flow | PASS/FAIL | [details] |
| 6. User Journey | PASS/FAIL | [details] |

### Verdict: PASS / FAIL
[If FAIL, list specific fix actions for loop-fixer]

Handoff

  • PASS → Return to loop-execution-evaluator → Conductor marks complete
  • FAIL → Return to loop-execution-evaluator → Conductor dispatches loop-fixer

Frequently asked questions

What does the Eval Business Logic AI skill do?

Specialized business logic evaluator for the Evaluate-Loop. Use this for evaluating tracks that implement core product logic — pipelines, dependency resolution, state machines, pricing/tier enforcement, packaging. Checks feature correctness against product rules, edge cases, state transitions, data flow, and user journey completeness. Dispatched by loop-execution-evaluator when track type is 'business-logic', 'generator', or 'core-feature'. Triggered by: 'evaluate logic', 'test business rules', 'verify business rules', 'check feature'.

Why use Eval Business Logic on TypingMind?

Because you install it once and use it with any model. Eval Business Logic 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 Eval Business Logic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ibrahim-3d/orchestrator-supaconductor/tree/master/skills/eval-business-logic. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Eval Business Logic?

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 Eval Business Logic?

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

Is the Eval Business Logic AI skill free?

Yes. It is published on GitHub by Ibrahim-3d under the AGPL-3.0 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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