SmartResume: Skill for Claude Code

.agent/skills/linkedin-suggest/SKILL.md

linkedin-suggest is a skill for Claude Code, Codex from Lewsiafat/SmartResume. It costs 89 tokens per session (1,159 once invoked), scanned A, original, no licence file.

A tool that drafts LinkedIn profile sections in two languages from a single source document. LinkedIn is a professional networking site where people present their work history and skills.

In plain words
What is it for?
Use it to draft or refine your LinkedIn headline, About section, experience, skills, Featured section, and job-search preferences.
Why use it?
It gives you a starting profile draft while keeping the sections based on one source of truth.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

This is Lewsiafat/SmartResume's own configuration. It tells Claude Code and Codex how to work on SmartResume itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything SmartResume configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Lewsiafat/SmartResume. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Lewsiafat/SmartResume/master/.agent/skills/linkedin-suggest/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Lewsiafat/SmartResume

Made for: Claude Code, Codex.

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-suggest

README.md
[![agentmods](https://agentmods.dev/badge/skills/lewsiafat/smartresume/linkedin-suggest/github.svg)](https://agentmods.dev/skills/lewsiafat/smartresume/linkedin-suggest)
Your own site
<a href="https://agentmods.dev/skills/lewsiafat/smartresume/linkedin-suggest"><img src="https://agentmods.dev/badge/skills/lewsiafat/smartresume/linkedin-suggest/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-suggest

Your own site · 80×15
<a href="https://agentmods.dev/skills/lewsiafat/smartresume/linkedin-suggest"><img src="https://agentmods.dev/badge/skills/lewsiafat/smartresume/linkedin-suggest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,159 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00089 $0.01159
Opus 5.5 $0.00036 $0.00464
Sonnet 5.5 $0.00018 $0.00232
Haiku 4.5 $0.00009 $0.00116

Measured 2mo ago against content hash 048459537511, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkedin-suggest scanned grade A with 0 findings 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agent/skills/linkedin-suggest/SKILL.md · 145 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 First seen · 145 lines · 89 tokens per session scan A 048459537511

Subscribe to this mod's changes

linkedin-suggest is a skill published in the GitHub repository Lewsiafat/SmartResume (5 stars, last pushed 4mo ago), with no licence file. It adds 89 tokens to every session and 1,159 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

linkedin-suggest compared with skills from other repositories

linkedin-suggest next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
linkedin-suggestLewsiafat/SmartResumeSkill54mo agononeA89Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code