task-snapshot-resume-linkedin

task-snapshot-resume-linkedin is a skill for Claude Code from fru-dev3/AI-Ready-Life. It costs 60 tokens per session (610 once invoked), scanned A, original, no licence file.

A skill that saves dated copies of a resume and LinkedIn profile in a snapshots folder. A snapshot is a preserved version that can be compared with later versions or restored after an unwanted edit.

In plain words
What is it for?
It is for tracking resume and LinkedIn changes, comparing versions, recovering older copies, and keeping quarterly records.
Why use it?
It prevents important career-profile changes from becoming difficult to review or undo.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the career plugin — 29 skills, 1 agent shipped together

Good fit It is for tracking resume and LinkedIn changes, comparing versions, recovering older copies, and keeping quarterly records.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fru-dev3/ai-ready-life/task-snapshot-resume-linkedin
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 fru-dev3/AI-Ready-Life --skill task-snapshot-resume-linkedin
Clone the repo
git clone --depth 1 https://github.com/fru-dev3/AI-Ready-Life

Made for: Claude Code.

Or install career, the plugin that ships this one along with the rest of its 29 skills, 1 agent.

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 task-snapshot-resume-linkedin

README.md
[![agentmods](https://agentmods.dev/badge/skills/fru-dev3/ai-ready-life/task-snapshot-resume-linkedin/github.svg)](https://agentmods.dev/skills/fru-dev3/ai-ready-life/task-snapshot-resume-linkedin)
Your own site
<a href="https://agentmods.dev/skills/fru-dev3/ai-ready-life/task-snapshot-resume-linkedin"><img src="https://agentmods.dev/badge/skills/fru-dev3/ai-ready-life/task-snapshot-resume-linkedin/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 task-snapshot-resume-linkedin

Your own site · 80×15
<a href="https://agentmods.dev/skills/fru-dev3/ai-ready-life/task-snapshot-resume-linkedin"><img src="https://agentmods.dev/badge/skills/fru-dev3/ai-ready-life/task-snapshot-resume-linkedin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 610 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 $0.00060 $0.00610
Opus 5.5 $0.00024 $0.00244
Sonnet 5.5 $0.00012 $0.00122
Haiku 4.5 $0.00006 $0.00061

Measured 2mo ago against content hash 01951574c302, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

task-snapshot-resume-linkedin 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.

career/skills/task-snapshot-resume-linkedin/SKILL.md · 52 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

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 · 52 lines · 60 tokens per session scan A 01951574c302

Subscribe to this mod's changes

task-snapshot-resume-linkedin is a skill published in the GitHub repository fru-dev3/AI-Ready-Life (17 stars, last pushed 2mo ago), with no licence file. It adds 60 tokens to every session and 610 once invoked, about $0.0002 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 2026-08-30.

Related

task-snapshot-resume-linkedin compared with skills from other repositories

task-snapshot-resume-linkedin next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
task-snapshot-resume-linkedinfru-dev3/AI-Ready-LifeSkill172mo agononeA60Claude Code
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill100ktodayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k3d agoMITA200Claude Code, Codex
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill315k6d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code