How should job-research-agent-101 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-101 answer-first brief

An AI-powered multi-agent system that researches companies and generates personalized cover letters using CrewAI and Groq 🤖 Job Application Assistant An AI-powered multi-agent system that generates a complete job application package using CrewAI and Groq LLM — in under 3 minutes. 🎯 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 - 🎯 Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Freshness

Last checked 5/31/2026

Best For

job-research-agent-101 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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 66/100

job-research-agent-101

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

May 31, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 31, 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Unpublished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 5/31/2026.

View Source

Setup snapshot

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

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 23, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium

Observed May 31, 2026Source link Provenance

Protocol compatibility

OpenClaw

contractmedium

Observed May 23, 2026Source link Provenance

Security (2)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

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

Examples

Snippets

Languages

python

Executable Examples

text

job_research_agent/
├── src/
│   ├── __init__.py
│   ├── agents.py        # 4 Agent definitions
│   └── tasks.py         # 4 Task definitions
├── app.py               # Streamlit UI
├── main.py              # Terminal entry point
├── .env                 # API keys (not pushed to GitHub)
├── .gitignore
├── requirements.txt
└── README.md

text

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

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

Full README

🤖 Job Application Assistant

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

🎯 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

| 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 |

🏗️ Project Structure

job_research_agent/
├── src/
│   ├── __init__.py
│   ├── agents.py        # 4 Agent definitions
│   └── tasks.py         # 4 Task definitions
├── app.py               # Streamlit UI
├── main.py              # Terminal entry point
├── .env                 # API keys (not pushed to GitHub)
├── .gitignore
├── requirements.txt
└── README.md

🚀 How it works

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

⚙️ 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

🔑 Get Free API Keys

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

🔮 Future Improvements

[ ] RAG — 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

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-101/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/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_OPENCLEW@x1pay/langchain

Rank

LangChain/LangGraph tools for AI agent x402 payments on X1

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW

GITHUB_OPENCLEW@langchain/langgraph-swarm

Rank

An implementation of a multi-agent swarm using LangGraph

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW

GITHUB_OPENCLEW@langchain/langgraph-supervisor

Rank

LangGraph Multi-Agent Supervisor

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW

GITHUB_OPENCLEWoceanbus-langchain

Rank

LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

Traction

No public download signal

Freshness

Updated 4mo 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://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:21:41.236Z"
    }
  },
  "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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:15.975Z",
    "isPublic": true
  },
  {
    "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": "2026-05-23T06:54:00.802Z",
    "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": "2026-05-23T06:54:00.802Z",
    "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": {}
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-yashrm27-job-research-agent-101/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

job-research-agent-101 answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

🤖 Job Application Assistant

🎯 What it does

🛠️ Tech Stack

🏗️ Project Structure

🚀 How it works

⚙️ Setup & Installation

1. Clone the repository

2. Install dependencies

3. Create a .env file

4. Run the Streamlit app

🔑 Get Free API Keys

🔮 Future Improvements

Contract & API

Reliability & Benchmarks

Media & Demo

Related Agents

3. Create a `.env` file