Agent skill

AI Impact Assessment

by Zal4DW in Zal4DW/career-helper

A skill your agent uses when the user is worried about or curious how AI and automation will affect their current or target role.

Custom licenceAuto-check passed

Install AI Impact Assessment

skills CLI
$ npx skills add Zal4DW/career-helper --skill ai-impact-assessment -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Zal4DW/career-helper ai-impact-assessment --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Zal4DW/career-helper.git skills-src && mkdir -p .claude/skills && cp -r skills-src/career-helper/skills/ai-impact-assessment .claude/skills/ai-impact-assessment && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ai-impact-assessment
GitHub stars
111
Token cost
~1.5k tokens
SKILL.md length
771 words
Files
4 (incl. references)
Skills in repo
16
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when the user is worried about or curious how AI and automation will affect their current or target role.

  • The user is worried about
  • SKILL.md covers Capabilities, Quick Start, Accessibility and 1. AI Impact Assessment, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Curious how AI and automation will affect their current

What it does

AI Impact Assessment is an agent skill from Zal4DW/career-helper. Use when the user is worried about or curious how AI and automation will affect their current or target role. Runs a live research assessment of whether the role faces material AI disruption in the next 12 months, then gives a frank verdict and a 6-month mitigation plan.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/ai-impact-research.md`, `references/ai-impact-template.md` and `references/assessment-and-plan.md`).

The repository describes itself as: A career helper skill for claude (desktop/web/code).

When your agent uses it

  • The user is worried about
  • Curious how AI and automation will affect their current

Example prompts

  • “/ai-impact-assessment”

What it can do on your machine

Read from SKILL.md and the folder at commit c19cefe. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AI Impact Assessment loads about 1.5k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 771 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 771 words (~1,536 tokens).

“An honest assessment of whether AI will materially change your role in the next 12 months, followed by a practical plan to stay ahead.”

— opening of SKILL.md by Zal4DW, Custom licence
name
ai-impact-assessment
tags
ai-impact, automation, disruption, future-proofing, career-risk, mitigation, ai-jobs

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in career-helper/skills/ai-impact-assessment of Zal4DW/career-helper.

  • SKILL.md
  • references/ai-impact-research.md
  • references/ai-impact-template.md
  • references/assessment-and-plan.md

Open the folder on GitHubat commit c19cefe

Compare with similar skills

AI Impact Assessment next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

AI Impact Assessment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Impact Assessment this skillZal4DW/career-helper111—~1.5kAutomated safety check: PassCustom licence
Performing Privacy Impact Assessmentmukul975/Anthropic-Cybersecurity-Skills34k—~2.6kAutomated safety check: PassApache-2.0
Resolve Impact Assessmentomnigent-ai/omnigent11k—~1.5kAutomated safety check: PassApache-2.0
Transfer Impact Assessment Tia Oliver Schmidt Prietzlawve-ai/awesome-legal-skills847—~4kAutomated safety check: PassAGPL-3.0
Acreadiness Assessgithub/awesome-copilot40k1 repos~839Automated safety check: PassMIT
Relsa Severity AssessmentK-Dense-AI/scientific-agent-skills48k1 repos~5.2kAutomated safety check: NotesMIT

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  • Performing Privacy Impact Assessment

    mukul975/Anthropic-Cybersecurity-Skills

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  • Resolve Impact Assessment

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    11k GitHub stars~1.5k tokensUpdated today
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  • GDPR Transfer Impact Assessment for Chapter V transfers under the EDPB Recommendations 01/2020 six-step methodology, the CNIL TIA Guide (January 2025), and EDPB essential guarantees.

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  • Acreadiness Assess

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    Official

    Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html.

    40k GitHub starsUsed in 1 repo~839 tokens
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  • Relsa Severity Assessment

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Questions about AI Impact Assessment

What does AI Impact Assessment do?

A skill your agent uses when the user is worried about or curious how AI and automation will affect their current or target role. AI Impact Assessment is an agent skill from Zal4DW/career-helper. Use when the user is worried about or curious how AI and automation will affect their current or target role.

When should I use AI Impact Assessment?

AI Impact Assessment fits situations like: the user is worried about; curious how AI and automation will affect their current.

How do I install AI Impact Assessment in Claude Code?

Run `npx skills add Zal4DW/career-helper --skill ai-impact-assessment -a claude-code`. Or copy the skill folder (career-helper/skills/ai-impact-assessment in Zal4DW/career-helper) into .claude/skills/ai-impact-assessment in your project. Claude Code loads it when a task matches its description.

How do I install AI Impact Assessment in Codex?

Run `npx skills add Zal4DW/career-helper --skill ai-impact-assessment -a codex`. Or copy the skill folder (career-helper/skills/ai-impact-assessment in Zal4DW/career-helper) into .agents/skills/ai-impact-assessment in your project. Codex loads it when a task matches its description.

Can I use AI Impact Assessment in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Zal4DW/career-helper --skill ai-impact-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-impact-assessment, .gemini/skills/ai-impact-assessment, .github/skills/ai-impact-assessment and .opencode/skills/ai-impact-assessment in your project.

What does AI Impact Assessment need to run?

SKILL.md names no scripts, command-line tools or credentials: AI Impact Assessment is instructions for the agent only.

Does AI Impact Assessment access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is AI Impact Assessment safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does AI Impact Assessment use?

AI Impact Assessment has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does AI Impact Assessment use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.5k tokens, read only when the agent opens those files.

What are the alternatives to AI Impact Assessment?

Skills that share tags, products or a category with AI Impact Assessment: Performing Privacy Impact Assessment (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Resolve Impact Assessment (omnigent-ai/omnigent, 11k stars), Transfer Impact Assessment Tia Oliver Schmidt Prietz (lawve-ai/awesome-legal-skills, 847 stars) and Acreadiness Assess (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Impact Assessment?

Zal4DW (a GitHub user) maintains it in Zal4DW/career-helper, which has 111 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 29, 2026.

Source: Zal4DW/career-helper on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.