Agent skill

Portfolio Assessment

by Habitat-Thinking in Habitat-Thinking/ai-literacy-superpowers

A skill your agent uses when assessing AI literacy across multiple repositories — aggregates individual assessments into a portfolio view with level distribution, shared gaps, outliers, and a…

Custom licenceAuto-check passed

Install Portfolio Assessment

skills CLI
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill portfolio-assessment -a claude-code

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

GitHub CLI
$ gh skill install Habitat-Thinking/ai-literacy-superpowers portfolio-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/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-literacy-superpowers/skills/portfolio-assessment .claude/skills/portfolio-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
portfolio-assessment
GitHub stars
114
Token cost
~1.7k tokens
SKILL.md length
765 words
Files
3 (incl. references)
Skills in repo
42
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when assessing AI literacy across multiple repositories — aggregates individual assessments into a portfolio view with level distribution, shared gaps, outliers, and a…

  • Works in 7 steps: Discover Repos → Gather Assessments → Aggregate → …
  • Assessing AI literacy across multiple repositories — aggregates individual assessments into a portfolio view with level distribution
  • SKILL.md covers Discovery Modes, Process and What This Skill Does NOT Do
  • Calls gh

What it does

Portfolio Assessment is an agent skill from Habitat-Thinking/ai-literacy-superpowers. Use when assessing AI literacy across multiple repositories — aggregates individual assessments into a portfolio view with level distribution, shared gaps, outliers, and a prioritised improvement plan grouped by organisational impact. Discovers repos from local paths, GitHub orgs, or topic tags.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/lightweight-scan.md` and `references/portfolio-template.md`).

It works with GitHub. The repository describes itself as: A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate….

When your agent uses it

  • Assessing AI literacy across multiple repositories — aggregates individual assessments into a portfolio view with level distribution
  • A prioritised improvement plan grouped by organisational impact

Example prompts

  • “/portfolio-assessment”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Discover Repos
  2. Gather Assessments
  3. Aggregate
  4. Identify Patterns
  5. Generate Portfolio Improvement Plan
  6. Gather Habitat Metrics from Snapshots
  7. Present and Record

What it can do on your machine

Read from SKILL.md and the folder at commit 9d35995. 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

    Shell commands in SKILL.md call:

    • gh

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

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    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

Portfolio Assessment loads about 1.7k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 765 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.7k

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 765 words (~1,655 tokens).

“Aggregate AI literacy assessments across multiple repositories into an organisational portfolio view. Identifies shared gaps, outliers, and stale assessments, then generates an improvement plan grouped by impact scope (organisation-wide, cluster, individual).”

— opening of SKILL.md by Habitat-Thinking, Custom licence
name
portfolio-assessment

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in ai-literacy-superpowers/skills/portfolio-assessment of Habitat-Thinking/ai-literacy-superpowers.

  • SKILL.md
  • references/lightweight-scan.md
  • references/portfolio-template.md

Open the folder on GitHubat commit 9d35995

Compare with similar skills

Portfolio 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.

Portfolio Assessment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Portfolio Assessment this skillHabitat-Thinking/ai-literacy-superpowers114—~1.7kAutomated safety check: PassCustom licence
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Diagnosing Superpowers Sessionsobra/superpowers297k3 repos~1.7kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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Works with

Questions about Portfolio Assessment

What does Portfolio Assessment do?

A skill your agent uses when assessing AI literacy across multiple repositories — aggregates individual assessments into a portfolio view with level distribution, shared gaps, outliers, and a…. Portfolio Assessment is an agent skill from Habitat-Thinking/ai-literacy-superpowers. Use when assessing AI literacy across multiple repositories — aggregates individual assessments into a portfolio view with level distribution, shared gaps, outliers, and a prioritised improvement plan grouped by organisational impact.

When should I use Portfolio Assessment?

Portfolio Assessment fits situations like: assessing AI literacy across multiple repositories — aggregates individual assessments into a portfolio view with level distribution; A prioritised improvement plan grouped by organisational impact.

How do I install Portfolio Assessment in Claude Code?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill portfolio-assessment -a claude-code`. Or copy the skill folder (ai-literacy-superpowers/skills/portfolio-assessment in Habitat-Thinking/ai-literacy-superpowers) into .claude/skills/portfolio-assessment in your project. Claude Code loads it when a task matches its description.

How do I install Portfolio Assessment in Codex?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill portfolio-assessment -a codex`. Or copy the skill folder (ai-literacy-superpowers/skills/portfolio-assessment in Habitat-Thinking/ai-literacy-superpowers) into .agents/skills/portfolio-assessment in your project. Codex loads it when a task matches its description.

Can I use Portfolio 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 Habitat-Thinking/ai-literacy-superpowers --skill portfolio-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/portfolio-assessment, .gemini/skills/portfolio-assessment, .github/skills/portfolio-assessment and .opencode/skills/portfolio-assessment in your project.

What does Portfolio Assessment need to run?

Going by SKILL.md and its folder, Portfolio Assessment needs the command-line tools its instructions call (gh).

Does Portfolio Assessment access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Portfolio 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 Portfolio Assessment use?

Portfolio 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 Portfolio Assessment use?

About 1.7k tokens (SKILL.md is roughly 6.6k 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 2k tokens, read only when the agent opens those files.

What are the alternatives to Portfolio Assessment?

Skills that share tags, products or a category with Portfolio Assessment: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Greploop (onyx-dot-app/onyx, 32k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars) and Diagnosing Superpowers Sessions (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Portfolio Assessment?

Habitat-Thinking (a GitHub organization) maintains it in Habitat-Thinking/ai-literacy-superpowers, which has 114 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on September 20, 2026.

Source: Habitat-Thinking/ai-literacy-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.