How should job-research-agent-with-mlops be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

job-research-agent-with-mlops answer-first brief

AI-powered 4-agent job application assistant built with CrewAI and Groq, deployed on OpenShift with Docker, Ansible, and GitHub Actions CI/CD pipeline 🤖 Job Application Assistant with MLOps An AI-powered multi-agent system deployed as a cloud-native application using Docker, OpenShift, Ansible, and GitHub Actions CI/CD. 🌐 Live Demo $1 🎯 What it does Input a company name, job role, and your name — 4 AI agents collaborate to generate: - 🔍 **Company Research Report** — culture, values, requirements, recent news - 📄 **Personalized Cover Letter** — 250-350 words, t Capability contract not published. No trust telemetry is available yet. Last updated 5/19/2026.

Freshness

Last checked 5/19/2026

Best For

job-research-agent-with-mlops 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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGITHUB REPOSSafety: 66/100

job-research-agent-with-mlops

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

May 19, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/19/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 19, 2026

Vendor

Yashrm27

Artifacts

Benchmarks

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Unpublished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 5/19/2026.

View Source

Setup snapshot

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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

Yashrm27

profilemedium

Observed May 19, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 19, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

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

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB REPOS

Extracted files

Examples

Snippets

Languages

python

Executable Examples

bash

git clone https://github.com/YashRM27/job-research-agent-with-mlops.git
cd job-research-agent-with-mlops

bash

pip install -r requirements.txt

bash

streamlit run app.py

bash

docker build -t job-research-agent .
docker run -p 8501:8501 --env-file .env job-research-agent

bash

# Login to OpenShift
oc login --token=YOUR_TOKEN --server=YOUR_SERVER

# Create secrets
oc create secret generic api-keys \
  --from-literal=GROQ_API_KEY=your_key \
  --from-literal=SERPER_API_KEY=your_key

# Apply manifests
oc apply -f k8s/deployment.yaml
oc apply -f k8s/service.yaml
oc apply -f k8s/route.yaml

# Check status
oc get pods
oc get route

bash

ansible-playbook ansible/playbook.yml

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

🤖 Job Application Assistant with MLOps

An AI-powered multi-agent system deployed as a cloud-native application using Docker, OpenShift, Ansible, and GitHub Actions CI/CD.

🌐 Live Demo

🎯 What it does

Input a company name, job role, and your name — 4 AI agents collaborate to generate:

🔍 Company Research Report — culture, values, requirements, recent news
📄 Personalized Cover Letter — 250-350 words, tailored to the company
🎯 Interview Prep — 5 likely questions with tips on how to answer
📧 Formal Cold Email — ready to send to the hiring manager on LinkedIn

🛠️ Tech Stack

AI & Application

| Tool | Purpose | |---|---| | CrewAI | Multi-agent orchestration framework | | Groq (LLaMA 3.3 70B) | LLM for agent reasoning and writing | | Serper API | Real-time web search tool | | LiteLLM | LLM provider interface | | Streamlit | Interactive web UI | | Python 3.11 | Core language |

DevOps & Cloud

| Tool | Purpose | |---|---| | Docker | Containerization | | Docker Hub | Image registry | | OpenShift | Enterprise Kubernetes platform | | Ansible | Deployment automation | | GitHub Actions | CI/CD pipeline |

🏗️ Project Structure

job-research-agent-with-mlops/ ├── src/ │ ├── init.py │ ├── agents.py # 4 Agent definitions │ └── tasks.py # 4 Task definitions ├── k8s/ │ ├── deployment.yaml # OpenShift deployment manifest │ ├── service.yaml # Service manifest │ └── route.yaml # Route manifest for public URL ├── ansible/ │ └── playbook.yml # Ansible deployment playbook ├── .github/ │ └── workflows/ │ └── deploy.yml # GitHub Actions CI/CD pipeline ├── app.py # Streamlit UI ├── Dockerfile # Container definition ├── requirements.txt # Python dependencies └── README.md

🚀 How it works

AI Pipeline

User Input (Company + Role + Name) ↓ Researcher Agent → Searches web → Research Report ↓ Writer Agent → Reads research → Cover Letter ↓ Coach Agent → Reads research → 5 Interview Questions + Tips ↓ Emailer Agent → Reads research → Formal Cold Email ↓ All 4 outputs displayed in Streamlit tabs

DevOps Pipeline

git push → GitHub Actions triggers ↓ Docker build → Docker Hub push ↓ oc apply manifests → OpenShift deployment ↓ Live on OpenShift public URL

⚙️ Setup & Installation

Local Development

Clone the repository

git clone https://github.com/YashRM27/job-research-agent-with-mlops.git
cd job-research-agent-with-mlops

Install dependencies

pip install -r requirements.txt

Create a .env file GROQ_API_KEY=your_groq_api_key_here SERPER_API_KEY=your_serper_api_key_here
Run the Streamlit app

streamlit run app.py

Docker

docker build -t job-research-agent .
docker run -p 8501:8501 --env-file .env job-research-agent

OpenShift Deployment

# Login to OpenShift
oc login --token=YOUR_TOKEN --server=YOUR_SERVER

# Create secrets
oc create secret generic api-keys \
  --from-literal=GROQ_API_KEY=your_key \
  --from-literal=SERPER_API_KEY=your_key

# Apply manifests
oc apply -f k8s/deployment.yaml
oc apply -f k8s/service.yaml
oc apply -f k8s/route.yaml

# Check status
oc get pods
oc get route

Ansible Deployment

ansible-playbook ansible/playbook.yml

🔄 CI/CD Pipeline

Every git push to main automatically:

Builds Docker image
Pushes to Docker Hub
Deploys to OpenShift
Verifies deployment status

Required GitHub Secrets

DOCKERHUB_USERNAME DOCKERHUB_TOKEN OPENSHIFT_TOKEN OPENSHIFT_SERVER

🔑 Get Free API Keys

Groq API (Free LLM): https://console.groq.com
Serper API (Free web search): https://serper.dev

🔮 Future Improvements

[ ] Fix CrewAI non-root permission conflict on OpenShift
[ ] Add persistent volume for ChromaDB storage
[ ] RAG — upload resume PDF for personalized output
[ ] Add horizontal pod autoscaling
[ ] Multi-environment deployment (dev/staging/prod)

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/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.

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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://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T03:43:52.181Z"
    }
  },
  "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",
    "label": "Vendor",
    "value": "Yashrm27",
    "category": "vendor",
    "href": "https://github.com/YashRM27/job-research-agent-with-mlops",
    "sourceUrl": "https://github.com/YashRM27/job-research-agent-with-mlops",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-19T06:57:53.067Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-19T06:57:53.067Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-with-mlops/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · 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,
    "metadata": {}
  }
]