Crawler Summary

job-research-agent answer-first brief

An AI-powered multi-agent system that researches companies and generates personalized cover letters using CrewAI and Groq ๐Ÿค– Job Application Assistant An AI-powered multi-agent system that generates a complete job application package using CrewAI and Groq LLM โ€” in under 3 minutes. ๐ŸŽฏ What it does Input a company name, job role, and your name โ€” 4 AI agents collaborate to generate: - ๐Ÿ” **Company Research Report** โ€” culture, values, requirements, recent news - ๐Ÿ“„ **Personalized Cover Letter** โ€” 250-350 words, tailored to the company - ๐ŸŽฏ Capability contract not published. No trust telemetry is available yet. Last updated 5/18/2026.

Freshness

Last checked 5/18/2026

Best For

job-research-agent 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 OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 66/100

job-research-agent

An AI-powered multi-agent system that researches companies and generates personalized cover letters using CrewAI and Groq ๐Ÿค– Job Application Assistant An AI-powered multi-agent system that generates a complete job application package using CrewAI and Groq LLM โ€” in under 3 minutes. ๐ŸŽฏ What it does Input a company name, job role, and your name โ€” 4 AI agents collaborate to generate: - ๐Ÿ” **Company Research Report** โ€” culture, values, requirements, recent news - ๐Ÿ“„ **Personalized Cover Letter** โ€” 250-350 words, tailored to the company - ๐ŸŽฏ

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

May 18, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/18/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 18, 2026

Vendor

Yashrm27

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Unpublished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 5/18/2026.

Setup snapshot

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

Yashrm27

profilemedium
Observed May 11, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 11, 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 OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

text

job_research_agent/
โ”œโ”€โ”€ src/
โ”‚   โ”œโ”€โ”€ __init__.py
โ”‚   โ”œโ”€โ”€ agents.py        # 4 Agent definitions
โ”‚   โ””โ”€โ”€ tasks.py         # 4 Task definitions
โ”œโ”€โ”€ app.py               # Streamlit UI
โ”œโ”€โ”€ main.py              # Terminal entry point
โ”œโ”€โ”€ .env                 # API keys (not pushed to GitHub)
โ”œโ”€โ”€ .gitignore
โ”œโ”€โ”€ requirements.txt
โ””โ”€โ”€ README.md

text

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

bash

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

bash

pip install -r requirements.txt

text

GROQ_API_KEY=your_groq_api_key_here
SERPER_API_KEY=your_serper_api_key_here

bash

streamlit run app.py

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

An AI-powered multi-agent system that researches companies and generates personalized cover letters using CrewAI and Groq ๐Ÿค– Job Application Assistant An AI-powered multi-agent system that generates a complete job application package using CrewAI and Groq LLM โ€” in under 3 minutes. ๐ŸŽฏ What it does Input a company name, job role, and your name โ€” 4 AI agents collaborate to generate: - ๐Ÿ” **Company Research Report** โ€” culture, values, requirements, recent news - ๐Ÿ“„ **Personalized Cover Letter** โ€” 250-350 words, tailored to the company - ๐ŸŽฏ

Full README

๐Ÿค– Job Application Assistant

An AI-powered multi-agent system that generates a complete job application package using CrewAI and Groq LLM โ€” in under 3 minutes.

๐ŸŽฏ What it does

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

  • ๐Ÿ” Company Research Report โ€” culture, values, requirements, recent news
  • ๐Ÿ“„ Personalized Cover Letter โ€” 250-350 words, tailored to the company
  • ๐ŸŽฏ Interview Prep โ€” 5 likely questions with tips on how to answer
  • ๐Ÿ“ง Formal Cold Email โ€” ready to send to the hiring manager on LinkedIn

๐Ÿ› ๏ธ Tech Stack

| 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 |

๐Ÿ—๏ธ Project Structure

job_research_agent/
โ”œโ”€โ”€ src/
โ”‚   โ”œโ”€โ”€ __init__.py
โ”‚   โ”œโ”€โ”€ agents.py        # 4 Agent definitions
โ”‚   โ””โ”€โ”€ tasks.py         # 4 Task definitions
โ”œโ”€โ”€ app.py               # Streamlit UI
โ”œโ”€โ”€ main.py              # Terminal entry point
โ”œโ”€โ”€ .env                 # API keys (not pushed to GitHub)
โ”œโ”€โ”€ .gitignore
โ”œโ”€โ”€ requirements.txt
โ””โ”€โ”€ README.md

๐Ÿš€ How it works

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

โš™๏ธ Setup & Installation

1. Clone the repository

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

2. Install dependencies

pip install -r requirements.txt

3. Create a .env file

GROQ_API_KEY=your_groq_api_key_here
SERPER_API_KEY=your_serper_api_key_here

4. Run the Streamlit app

streamlit run app.py

๐Ÿ”‘ Get Free API Keys

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

๐Ÿ”ฎ Future Improvements

  • [ ] RAG โ€” upload your resume PDF for more personalized output
  • [ ] Support multiple output formats (PDF, DOCX)
  • [ ] Email sending integration
  • [ ] Job fit score based on resume vs job description

Contract & API

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

MissingGITHUB OPENCLEW

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

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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/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T19:23:38.793Z"
    }
  },
  "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",
    "sourceUrl": "https://github.com/YashRM27/job-research-agent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:22:05.080Z",
    "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/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:22:05.080Z",
    "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/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

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,
    "metadata": {}
  }
]

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