resume-ats-linkedin-optimizer

Skill · GitHub · ★ 4 · graded 2026-10-25Source linked

AI Agent Skill (Claude Code) to build, tailor & audit a job-winning resume/CV and LinkedIn profile — optimized for ATS parsing (Workday, Greenhouse, Lever, Taleo, iCIMS), recruiter skim-reading, and LinkedIn recruiter search. Zero-fabrication.

No outside reports on file

resume-ats-linkedin-optimizer is distributed via GitHub (artificialguybr/resume-ats-linkedin-optimizer); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 25, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

Local filesNo local folder access notedLOW
Command executionNo shell command runner notedLOW
Network reachLocal or standard API callsLOW
CredentialsNo API token requiredLOW
Package sourceGitHub (artificialguybr/resume-ats-linkedin-optimizer)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/artificialguybr/resume-ats-linkedin-optimizer ↗

All setup options ↓

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Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: D (from public signals such as stars and downloads, not a code review). Graded 2026-10-25.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Resume Ats LinkedIn Optimizer

Resume Ats LinkedIn Optimizer is an agent skill focused on Developer tools and Web & browsing: AI Agent Skill (Claude Code) to build, tailor & review a job-winning resume/CV and LinkedIn profile — optimized for ATS parsing (Workday, Greenhouse, Lever, Taleo, iCIMS), recruiter skim-reading, and LinkedIn recruiter search. Zero-fabrication.

It is hosted on GitHub at artificialguybr/resume-ats-linkedin-optimizer (4 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

These use the package this listing points to. Check the project’s own instructions before running anything.

No npm or PyPI package is listed for this agent skill. Source code and setup steps: github.com/artificialguybr/resume-ats-linkedin-optimizer.

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

11/100

GitHub stars: 4
Listing last refreshed: 2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

Dependency & version pinning: Distributed via GitHub (artificialguybr/resume-ats-linkedin-optimizer). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

Check its activity history or logs weekly at first, and look at what it changed or sent.
Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

It asks for more access than its job requires, or prompts you to paste passwords.
It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Resume Ats LinkedIn Optimizer?

Resume Ats LinkedIn Optimizer does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/artificialguybr/resume-ats-linkedin-optimizer.

Are there security reports about Resume Ats LinkedIn Optimizer?

No reports found for this package in our research (last checked 2026-10-30). Resume Ats LinkedIn Optimizer currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is Resume Ats LinkedIn Optimizer actively maintained?

Resume Ats LinkedIn Optimizer has 4 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/artificialguybr/resume-ats-linkedin-optimizer before pinning it in production.

What are alternatives to Resume Ats LinkedIn Optimizer?

You can compare Resume Ats LinkedIn Optimizer side by side with other Search skills in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

Maintain or use Resume Ats LinkedIn Optimizer? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade D for Resume Ats LinkedIn Optimizer

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Resume Ats LinkedIn Optimizer](https://agentarmorhq.com/api/badge/artificialguybr-resume-ats-linkedin-optimizer)](https://agentarmorhq.com/skills/artificialguybr-resume-ats-linkedin-optimizer)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/artificialguybr-resume-ats-linkedin-optimizer"><img src="https://agentarmorhq.com/api/badge/artificialguybr-resume-ats-linkedin-optimizer" alt="AgentArmorHQ Risk Grade for Resume Ats LinkedIn Optimizer" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "artificialguybr-resume-ats-linkedin-optimizer"

Share with your security lead

Need sign-off to use resume-ats-linkedin-optimizer? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: resume-ats-linkedin-optimizer
- **Listing URL:** https://agentarmorhq.com/skills/artificialguybr-resume-ats-linkedin-optimizer
- **Type:** AI agent skill
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 4 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (artificialguybr/resume-ats-linkedin-optimizer)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/artificialguybr/resume-ats-linkedin-optimizer
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 25, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: AI agent skill
Publisher: artificialguybr
Source code: github.com/artificialguybr/resume-ats-linkedin-optimizer
Est. context load: ~92 tokens idle · ~1.5k tokens when active (on-demand skill)
Popularity: 4 GitHub stars
Last updated: 2026-10-29
Last graded: 2026-10-25

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