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Vinkius

Task Completion Enforcer Prover Connector for AI agents.

1 live capability

Guarantee your agent finishes every coding requirement and documentation task.

Live agent request Task Completion Enforcer Prover / Connector

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AI Agent

Why people use Task Completion Enforcer Prover

Task Completion Enforcer Prover for Reliable Software Engineering

Task Completion Enforcer Prover stops this cycle. It forces your agent to create a literal punch list of your requirements before it touches the code. It then checks off every item with hard evidence, like a specific line number or a passing test result. You get a finished product that actually matches your request.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

That your agent stops making excuses and starts finishing every part of your request.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    The Done Lie

    An agent says it finished 5 APIs but only did 3.

  2. Real-world use case 02

    Placeholder Cleanup

    You get a codebase full of TODO comments.

  3. Real-world use case 03

    Documentation Drift

    The code is done but the docs are old.

Complete set · 1capability

The complete Task Completion Enforcer Prover capability set.

These are the exact actions your AI can choose when you ask it to work with Task Completion Enforcer Prover.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Task Completion Enforcer Prover.

  1. 01 Capability

    Validate task completion

    This capability forces the agent to prove it finished every requirement by mapping artifacts to a checklist. It catches placeholders and scope drift before the agent declares the task complete.

Set up in minutes

One URL. Then ask Task Completion Enforcer Prover to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Task Completion Enforcer Prover from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_TRZuombSa31k5jscX1KCJ089zhMtfMmLCTAbBgKK/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Task Completion Enforcer Prover, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Task Completion Enforcer Prover for the conversation.

Where the request belongs

Work Task Completion Enforcer Prover can move forward.

Built around the request

Software engineers who are tired of manual QA on AI-generated code and project managers who need to ensure complex multi-step instructions do not get lost in translation.

01

Software Engineer

Uses it to ensure every edge case and documentation requirement in a PR is actually handled.

02

QA Engineer

Uses it to verify that test coverage matches the specific functional requirements provided.

03

Technical Product Manager

Uses it to ensure that complex feature requests do not get diluted or half-done during implementation.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Delivery Integrity Prover logo
01 1 capability

Delivery Integrity Prover

Forces AI agents to reflect on task execution, matching prompt requirements to actual changes, verifying logs, and declaring gaps before claiming completion.

View Connector
Technical Writing Prover logo
02 1 capability

Technical Writing Prover

An AI wrote API documentation for 'developers.' No expertise level. No prerequisites. A wall of text with no headings. Code examples that referenced a deprecated method. untested. Passive voice throughout: 'it is recommended that the configuration be updated.' A junior engineer followed the docs, deployed to production with the wrong config, and caused a 4-hour outage. This capability forces audience definition, task-based structure, tested examples, ambiguity elimination, and completeness verification.

View Connector
Requirement Decomposition Prover logo
03 1 capability

Requirement Decomposition Prover

AI generates the happy path but omits error handling, edge cases, security, and observability. the '80% Problem'. This capability forces complete requirement decomposition BEFORE code generation: specify inputs/outputs, map failure modes, cover boundary conditions, validate OWASP, plan logging.

View Connector
LLM Output Format Drift Detector logo
04 3 capabilities New

LLM Output Format Drift Detector

Detect structural deviations in LLM outputs against reference templates.

View Connector
ContextQA logo
05 10 capabilities

ContextQA

Automate testing via ContextQA. manage test suites, track AI-healing executions, trigger automated runs, and audit API tests directly from any AI agent.

View Connector
Testim logo
06 10 capabilities

Testim

Trigger automated AI tests, inspect execution logs, and manage branches natively via your AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Task Completion Enforcer Prover connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Task Completion Enforcer Prover.

The practical details behind the request, access and result.

How does Task Completion Enforcer Prover stop my agent from leaving TODOs?

It forces the agent to identify every requirement as a checklist. If it finds a gap or a placeholder, it is required to fix it immediately before it can move to the next step.

Can Task Completion Enforcer Prover handle complex coding tasks?

Yes. It is specifically designed for multi-step coding projects where missing a single detail like a test case or a specific documentation update causes a headache.

Does Task Completion Enforcer Prover work with Cursor or VS Code?

It works with any MCP-compatible client, including Cursor, VS Code, and Claude, allowing you to use it directly within your existing development environment.

Why does my agent keep saying it's done when it isn't?

LLMs often prioritize finishing a generation over finishing a task. This Connector forces the agent to provide verifiable evidence for every requirement before it is allowed to say it is done.

How does the evidence mapping work in Task Completion Enforcer Prover?

The agent must link every finished requirement to a specific artifact, such as a file path, a line number, or a specific test result, to prove the work was actually completed.

Will Task Completion Enforcer Prover help with documentation?

Yes. It treats documentation as a mandatory requirement. The agent cannot declare the task finished until it provides evidence that the docs have been updated as requested.

Why do LLMs forget requirements?

Autoregressive generation allocates decreasing attention to earlier tokens as output grows. A 10-step task at token 200 competes with 2,000 tokens of generated output for attention. The model literally loses track of requirement #7 while implementing requirement #3. The fix: force a re-read of ALL requirements before declaring completion.

What counts as 'completion evidence'?

Not 'I implemented the function.' Evidence means: 'Requirement 1: POST /users endpoint at src/routes/users.ts lines 15-42, validates email/name/role via Zod schema, returns 201 with user object.' File path, line number, specific behavior. If you cannot point to the exact artifact, it is not done.

What happens when gaps are found?

The LLM MUST close them immediately. not later, not in a follow-up. Do the remaining work NOW. Then call this capability AGAIN to verify the gaps are actually closed. The loop continues until EVERY requirement has concrete evidence. 'I will do it later' is rejected. 'I just did it, here is the evidence' is accepted.

One connection away

Give your agent a direct line to Task Completion Enforcer Prover.

Connect Task Completion Enforcer Prover once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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