Upwork-AI-jobs-applier: AI tool for automating Upwork job applications using AI agents to find and qualify jobs, write personalized

by kaymen99 · Agent Tool · ★ 166

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: AI Job Hunting & Resume Skills

How to install Upwork-AI-jobs-applier

git clone https://github.com/kaymen99/Upwork-AI-jobs-applier.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsai-automationlangchainlanggraphllm-agentllm-scraperplaywrightscrapingupworkupwork-automation

Quick Facts

Stars166
Forks44
LanguagePython
CategoryAgent Tool
Quality Score69/100
Open Issues2
Last Updated2025-05-01
Created2024-07-12
Platformspython
Est. Tokens~26k

About Upwork-AI-jobs-applier

UpworkScribe AI: Automated Jobs Application on Upwork UpworkScribe AI is not just a tool; it's your partner in navigating the competitive world of freelancing, helping you secure more projects and grow your freelance career. 🚀 The Challenge of Modern Freelancing The freelance marketplace has undergone a dramatic transformation in the digital age.

Compatible Skills

These tools work well together with Upwork-AI-jobs-applier for enhanced workflows:

  • trending-skills — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • playbooks — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • oxylabs-mcp — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • scrapai-cli — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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