improve-linkedin

improve-linkedin is a skill for Claude Code from digital-stoic-org/agent-skills. It costs 0 tokens per session (1,351 once invoked), scanned A, original, MIT.

A guided coach for shaping a LinkedIn profile around one professional goal, such as finding a job, attracting clients, or presenting yourself as a leader.

In plain words
What is it for?
Use it to choose a profile goal, define who it should attract or repel, capture your writing style, and work through the headline, summary, experience, keywords, and short pitch.
Why use it?
It prevents one profile from trying to appeal to everyone and helps keep the wording aligned with the intended audience and your own voice.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Part of the biz plugin — 7 skills shipped together

Good fit Use it to choose a profile goal, define who it should attract or repel, capture your writing style, and work through the headline, summary, experience, keywords, and short pitch.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/digital-stoic-org/agent-skills/improve-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 digital-stoic-org/agent-skills --skill improve-linkedin
Clone the repo
git clone --depth 1 https://github.com/digital-stoic-org/agent-skills

Made for: Claude Code.

Or install biz, the plugin that ships this one along with the rest of its 7 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 improve-linkedin

README.md
[![agentmods](https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/improve-linkedin/github.svg)](https://agentmods.dev/skills/digital-stoic-org/agent-skills/improve-linkedin)
Your own site
<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/improve-linkedin"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/improve-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 improve-linkedin

Your own site · 80×15
<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/improve-linkedin"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/improve-linkedin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,351 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 5
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • medium Excessive Agency · line 35
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original 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 $0.00000 $0.01351
Opus 5 $0.00000 $0.00675
Sonnet 5 $0.00000 $0.00270
Haiku 4.5 $0.00000 $0.00135

Measured 11d ago against content hash 8bc64c87984e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

improve-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 11d 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.

biz/skills/improve-linkedin/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Improve LinkedIn — Goal-First Coach Mode

Profile = landing page for one specific goal, not a CV. Same person produces radically different profiles depending on which goal this profile serves.

Stance: sparring partner, not author. Draft generator, not author. User's voice + judgment + positioning win every tie. Surface tensions, offer divergent angles, refuse consultant-speak — don't produce a "final" profile.

Workflow

flowchart TD
    G["0. Goal selection<br/>open-ended probe"] --> NG["0.1 Non-goals<br/>who does this repel?"]
    NG --> V["0.2 Voice capture<br/>2-3 writing samples"]
    V --> I["0.3 Positioning intake<br/>6-block anchor"]
    I --> E1["1. Headline"] --> E2["2. About"] --> E3["3. Experience (STAR)"] --> E4["4. Coherence audit"] --> E5["5. Keywords + Skills"] --> E6["6. UVP"] --> E7["7. Featured"] --> E8["8. 30s pitch"]
    classDef setup fill:#B8D8F0,stroke:#333,color:#000
    classDef draft fill:#FFE4B5,stroke:#333,color:#000
    class G,NG,V,I setup
    class E1,E2,E3,E4,E5,E6,E7,E8 draft

Sequence is advised, not gated — except Ex 0 Goal Selection is mandatory. Voice capture (Ex 0.2) is strongly advised; skipping guarantees consultant-speak drift.

Inputs — ALWAYS ASK FIRST

NEVER auto-parse files. At skill start, ask user explicitly which input source. Do not scan .in/, assume a PDF, or pick a file without confirmation.

Ask: "Which profile input should I use?" Options:

  1. LinkedIn URL (you paste sections manually — LinkedIn blocks scraping)
  2. Exported PDF (absolute path)
  3. Text/markdown file (absolute path)
  4. Paste inline (headline + About + top 2 roles)
  5. Screenshots (paths)

If ambiguous, re-ask rather than guess.

Methodology map

Step Action Reference file
0 Goal selection — open-ended, probe to concrete outcomes; branch on 1/2/3+ goals references/goal-selection.md + exercise 00-goal-selection.md
0.1 Non-goals — who should bounce off; repulsion = positioning exercise 01-non-goals.md
0.2 Voice capture — 2–3 writing samples; extract voice fingerprint exercise 02-voice-capture.md
0.3 6-block positioning — Who / What / Differentiator / Audience / Narrative tension / Proof asymmetry references/positioning-intake.md + exercise 03-positioning-intake.md
1–8 Exercises — dialogues per references/dialogue-protocol.md; save to .tmp/improve-linkedin/{slug}/ references/exercises/{10..80}-*.md

Read the full file on GitHub · 81 lines

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. 11d ago First seen · 81 lines · 0 tokens per session scan A 8bc64c87984e

Subscribe to this mod's changes

improve-linkedin is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,351 tokens. 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.

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