agentmods.dev

linkedin-apply

linkedin-apply is a skill for Claude Code from Roxabi/roxabi-plugins. It costs 105 tokens per session (1,029 once invoked), scanned C, original, AGPL-3.0.

A tool that reads a LinkedIn job listing and compares it with a candidate profile using a language model.

In plain words
What is it for?
Use it to score job fit across four dimensions and produce an APPLY, REVIEW, or SKIP recommendation.
Why use it?
It helps reduce the time spent deciding whether a job is a good match before applying.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the linkedin-apply plugin — 2 skills shipped together

not rated 10repo +1 changed 2mo ago C scan 105 tokens AGPL-3.0

Good fit Use it to score job fit across four dimensions and produce an APPLY, REVIEW, or SKIP recommendation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/roxabi/roxabi-plugins/linkedin-apply
View source ↗ Roxabi/roxabi-plugins
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Roxabi/roxabi-plugins --skill linkedin-apply
Clone the repo
git clone --depth 1 https://github.com/Roxabi/roxabi-plugins

Made for: Claude Code.

Or install linkedin-apply, the plugin that ships this one along with the rest of its 2 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for linkedin-apply

README.md
[![agentmods](https://agentmods.dev/badge/skills/roxabi/roxabi-plugins/linkedin-apply/github.svg)](https://agentmods.dev/skills/roxabi/roxabi-plugins/linkedin-apply)
Your own site
<a href="https://agentmods.dev/skills/roxabi/roxabi-plugins/linkedin-apply"><img src="https://agentmods.dev/badge/skills/roxabi/roxabi-plugins/linkedin-apply/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for linkedin-apply

Your own site · 80×15
<a href="https://agentmods.dev/skills/roxabi/roxabi-plugins/linkedin-apply"><img src="https://agentmods.dev/badge/skills/roxabi/roxabi-plugins/linkedin-apply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,029 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.01029
Opus 5.5 $0.00042 $0.00412
Sonnet 5.5 $0.00021 $0.00206
Haiku 4.5 $0.00011 $0.00103

Measured 2mo ago against content hash adbe20a4cd39, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

linkedin-apply scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

trap 'rm -rf "$TMPDIR"' EXIT
archived/plugins/linkedin-apply/skills/linkedin-apply/SKILL.md · 113 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago Changed · -1 lines adbe20a4cd39
  2. 2mo ago First seen · 114 lines · 105 tokens per session scan C b6cc2395c062

Subscribe to this mod's changes

linkedin-apply is a skill published in the GitHub repository Roxabi/roxabi-plugins (10 stars, last pushed today), licensed AGPL-3.0. It adds 105 tokens to every session and 1,029 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Browser automationClaude CodeProductivityagentsagplopen-sourceroxabiself-hostable
Related

linkedin-apply compared with skills from other repositories

linkedin-apply next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
linkedin-applyRoxabi/roxabi-pluginsSkill10todayAGPL-3.0C105Claude Code
computer-usekirodotdev/KiroCrewSkill4.9ktodayApache-2.0A62Claude Code, Codex
eval-graphicselvisun/newsjackSkill1.7k2d agoMITA47Claude Code
news-searchelvisun/newsjackSkill1.7k2d agoMITA69Claude Code
write-workflow-as-codewindmill-labs/windmillSkill18ktodaynoneA43Claude Code, Codex
openclitdimino/claude-code-minoanSkill414d agoMITA94Claude Code, Codex
opendeskvitalops/opendeskSkill9021d agoMITA77Claude Code