Crawler Summary

GradeFlow answer-first brief

AI-Powered Assessment Automation for Learning & Development Teams - built with CrewAI abd Replit <div align="center"> ๐ŸŽ“ GradeFlow AI-Powered Assessment Generation *Automatically generate tailored assessments from course content โ€” in seconds, at scale.* $1 $1 $1 $1 </div> --- ๐Ÿง  What is GradeFlow? GradeFlow is an agentic AI tool built to ingest any course content โ€” raw text, learning objectives, or module summaries โ€” and instantly generate a fully structured, professionally worded assessment aligned with that co Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

GradeFlow is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

GradeFlow

AI-Powered Assessment Automation for Learning & Development Teams - built with CrewAI abd Replit <div align="center"> ๐ŸŽ“ GradeFlow AI-Powered Assessment Generation *Automatically generate tailored assessments from course content โ€” in seconds, at scale.* $1 $1 $1 $1 </div> --- ๐Ÿง  What is GradeFlow? GradeFlow is an agentic AI tool built to ingest any course content โ€” raw text, learning objectives, or module summaries โ€” and instantly generate a fully structured, professionally worded assessment aligned with that co

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Milena Tanui

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Milena Tanui

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

1

Snippets

0

Languages

python

Executable Examples

text

Course Content Input
(raw text, learning objectives, module summaries)
        โ†“
  [Agent 1: Content Analyser]
  Reads and interprets the course material,
  identifying key concepts and learning outcomes
        โ†“
  [Agent 2: Assessment Builder]
  Generates structured, difficulty-calibrated
  questions aligned to the course content
        โ†“
  Fully formatted assessment + shareable link
  delivered in seconds

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

AI-Powered Assessment Automation for Learning & Development Teams - built with CrewAI abd Replit <div align="center"> ๐ŸŽ“ GradeFlow AI-Powered Assessment Generation *Automatically generate tailored assessments from course content โ€” in seconds, at scale.* $1 $1 $1 $1 </div> --- ๐Ÿง  What is GradeFlow? GradeFlow is an agentic AI tool built to ingest any course content โ€” raw text, learning objectives, or module summaries โ€” and instantly generate a fully structured, professionally worded assessment aligned with that co

Full README
<div align="center">

๐ŸŽ“ GradeFlow

AI-Powered Assessment Generation

Automatically generate tailored assessments from course content โ€” in seconds, at scale.

Built with CrewAI Powered by Replit AI Assisted Status

</div>

๐Ÿง  What is GradeFlow?

GradeFlow is an agentic AI tool built to ingest any course content โ€” raw text, learning objectives, or module summaries โ€” and instantly generate a fully structured, professionally worded assessment aligned with that content.

Every employee is assessed, ensuring evaluations are efficient and genuinely meaningful to each individual's learning journey. The result is a smarter, faster, and more equitable way for organizations to measure what their people know โ€” and identify exactly where growth is needed next.

No LMS required. Just a shareable link your whole team can access instantly.


๐ŸŽฏ The Problem It Solves

Organizations must continuously upskill their workforce to stay competitive โ€” but L&D teams are often stretched thin, tasked with assessing entire workforces while simultaneously managing content creation and reporting.

The manual effort required to write questions, calibrate difficulty, and format deliverables takes hours. GradeFlow eliminates that burden.


โš™๏ธ How It Works

GradeFlow uses a multi-agent architecture powered by CrewAI. Feed it your course content and the agents collaborate to produce a complete, calibrated assessment:

Course Content Input
(raw text, learning objectives, module summaries)
        โ†“
  [Agent 1: Content Analyser]
  Reads and interprets the course material,
  identifying key concepts and learning outcomes
        โ†“
  [Agent 2: Assessment Builder]
  Generates structured, difficulty-calibrated
  questions aligned to the course content
        โ†“
  Fully formatted assessment + shareable link
  delivered in seconds

๐ŸŽฌ Demo Video

A short walkthrough of the GradeFlow build process and how it works.

<!-- Upload your video to YouTube or Loom, then replace the link below -->

Watch the Demo


๐Ÿ“ธ Screenshots

GradeFlow in action โ€” from content input to generated assessment.

<!-- HOW TO ADD SCREENSHOTS: 1. Take screenshots of your GradeFlow app on Replit 2. In your gradeflow repo on GitHub, create a folder called "assets" 3. Upload your screenshots there 4. Replace the filenames below with your actual screenshot filenames -->

Assessment Input Screen

Assessment Input

Generated Assessment Output

Assessment Output

CrewAI Agent Workflow

CrewAI Workflow


๐Ÿ› ๏ธ How It Was Built

| Layer | Tool | Role | |---|---|---| | ๐Ÿง  Workflow Design | Claude | Designed agent logic & generated structured prompts for CrewAI and Replit | | ๐Ÿค– Agent Orchestration | CrewAI | Defined and orchestrated the multi-agent workflow via prompt | | ๐Ÿ’ป App Interface | Replit | Built and styled the product frontend and user experience via prompt | | ๐Ÿ”— Integration | CrewAI API | Connected Replit and CrewAI so agents and interface communicate seamlessly |

The Build Process:

  1. Used Claude to articulate the workflow logic and generate two structured prompts โ€” one for CrewAI, one for Replit
  2. Pasted the CrewAI prompt to define and orchestrate the multi-agent workflow
  3. Used the Replit prompt to build and style the product interface
  4. Connected both platforms using API credentials from CrewAI, enabling seamless communication between the agents and the frontend
  5. Used Replit's built-in AI assistant to iteratively debug integration issues as they arose

Approach: Low-code โ€” prompt engineering drives the agent intelligence, CrewAI handles orchestration, and Replit powers the full-stack interface.


๐Ÿ‘ฅ Who It's Built For

| User | How GradeFlow Helps | |---|---| | ๐ŸŽ“ L&D Managers | Generate assessments from course content in seconds instead of hours | | ๐Ÿง‘โ€๐Ÿซ Corporate Trainers | Stop manually writing questions for every session, cohort, or department | | ๐Ÿ‘” HR Directors & People Ops | Get consistent, objective competency data across the entire workforce | | ๐Ÿข CEOs & Business Leaders | Run workforce assessments without a dedicated L&D department |

The real-world value: Time, consistency, and scale. When employees are assessed accurately and upskilled efficiently, the whole organization performs better โ€” and GradeFlow makes that possible without adding to anyone's workload.


๐Ÿš€ Current Status

  • [x] Multi-agent assessment generation workflow
  • [x] CrewAI + Replit integration via API
  • [x] Course content ingestion (text, objectives, summaries)
  • [x] Shareable assessment link output

๐Ÿ”ญ Future Vision

The current version of GradeFlow solves the creation problem. The roadmap extends into a fully closed-loop assessment ecosystem:

  • Auto-assignment โ€” distribute assessments directly to individuals or teams without manual link sharing
  • Auto-marking โ€” score submissions and generate personalised results reports highlighting strengths and flagging areas for improvement
  • Performance intelligence โ€” transform GradeFlow from an assessment builder into a complete L&D analytics tool
  • HR system integration โ€” automate scheduling, track progress over time, and surface workforce-wide insights

Beyond corporate L&D, GradeFlow is adaptable to education (schools, universities), healthcare (staff certification), financial services (compliance training), and government workforce development programs.


๐Ÿ’ก Built By

Milena Tanui โ€” AI Agent Builder & Automation Architect

"GradeFlow was built using a low-code approach: prompt engineering in Claude to design the agent logic, CrewAI for multi-agent orchestration, and Replit for rapid full-stack development."

GitHub LinkedIn


<div align="center">

Part of a growing portfolio of AI agents and automation tools. โญ Star this repo if you find it interesting!

</div>

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation โ€ข (~400 MCP servers for AI agents) โ€ข AI Automation / AI Agent with MCPs โ€ข AI Workflows & AI Agents โ€ข MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | ๐ŸŒŸ Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-16T23:44:43.095Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Milena Tanui",
    "href": "https://github.com/Milena-Tanui/GradeFlow",
    "sourceUrl": "https://github.com/Milena-Tanui/GradeFlow",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:18.442Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:18.442Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-milena-tanui-gradeflow/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub ยท GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to GradeFlow and adjacent AI workflows.