project-inventory

project-inventory is a skill for Claude Code from nasrulhazim/claude. It costs 174 tokens per session (4,004 once invoked), scanned A, original, MIT.

A scanner and reporting tool for finding Claude Code and other AI-integrated projects in selected directories. It checks files, folders, SDK imports, and MCP configurations, then creates Markdown, JSON, and HTML reports.

In plain words
What is it for?
Use it to discover projects, audit their Claude Code setup, generate inventories, and create an HTML dashboard showing AI collaboration metrics.
Why use it?
It replaces manual searching when you need to understand which projects use AI tools and how they are configured. Reports provide both readable summaries and data for further processing.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

Part of the claude-toolkit plugin — 36 skills, 12 commands, 20 agents shipped together

Good fit Use it to discover projects, audit their Claude Code setup, generate inventories, and create an HTML dashboard showing AI collaboration metrics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nasrulhazim/claude/project-inventory
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 nasrulhazim/claude --skill project-inventory
Clone the repo
git clone --depth 1 https://github.com/nasrulhazim/claude

Made for: Claude Code.

Or install claude-toolkit, the plugin that ships this one along with the rest of its 36 skills, 12 commands, 20 agents.

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 project-inventory

README.md
[![agentmods](https://agentmods.dev/badge/skills/nasrulhazim/claude/project-inventory/github.svg)](https://agentmods.dev/skills/nasrulhazim/claude/project-inventory)
Your own site
<a href="https://agentmods.dev/skills/nasrulhazim/claude/project-inventory"><img src="https://agentmods.dev/badge/skills/nasrulhazim/claude/project-inventory/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 project-inventory

Your own site · 80×15
<a href="https://agentmods.dev/skills/nasrulhazim/claude/project-inventory"><img src="https://agentmods.dev/badge/skills/nasrulhazim/claude/project-inventory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 174 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,004 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 pass 7 Sept 2026
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 $0.00174 $0.04004
Opus 5 $0.00087 $0.02002
Sonnet 5 $0.00035 $0.00801
Haiku 4.5 $0.00017 $0.00400

Measured 9d ago against content hash 47e9a9bdaa19, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

project-inventory 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 9d 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.

skills/project-inventory/SKILL.md · 427 lines

How it starts

The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Inventory — Claude Code & AI Project Discovery

Discovers, audits, and reports on all Claude Code and AI-integrated projects across your workspace. Generates human-readable Markdown, machine-readable JSON inventories, and a visual HTML portfolio dashboard with AI collaboration metrics.

Command Reference

Command Purpose
/inventory scan Scan directories for Claude Code / AI projects
/inventory report Generate Markdown + JSON inventory reports
/inventory audit Audit Claude Code adoption and configuration quality
/inventory dashboard Generate AI collaboration metrics + HTML portfolio dashboard

/inventory scan

Scan one or more directories to discover projects that use Claude Code or AI integrations.

Detection Signals

Scan for these indicators (in priority order):

Signal Weight Description
CLAUDE.md High Claude Code project instructions file
.claude/ directory High Claude Code configuration directory
.claude/settings.json High Claude Code settings with MCP servers, permissions
anthropic SDK import Medium @anthropic-ai/sdk or anthropic Python package
openai SDK import Medium OpenAI SDK usage in source files
google.generativeai import Medium Google Gemini SDK usage
.cursorrules Medium Cursor AI configuration
.github/copilot Medium GitHub Copilot configuration
MCP config references Medium Model Context Protocol server configs

Steps

  1. Ask user for directories to scan — prompt for one or more root directories (e.g., ~/Projects, ~/Packages, ~/Work)

  2. Discover projects — for each directory, find all git repositories or directories containing a composer.json, package.json, Cargo.toml, go.mod, pyproject.toml, or similar project markers

  3. Detect AI signals — for each discovered project, check for the detection signals listed above

Read the full file on GitHub · 427 lines

Files

What ships with it

3 files 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. 9d ago First seen · 427 lines · 174 tokens per session scan A 47e9a9bdaa19

Subscribe to this mod's changes

project-inventory is a skill published in the GitHub repository nasrulhazim/claude (22 stars, last pushed 6d ago), licensed MIT. It adds 174 tokens to every session and 4,004 once invoked, about $0.0009 per session on Opus 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.

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