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.
npx skills add nasrulhazim/claude --skill project-inventorygit clone --depth 1 https://github.com/nasrulhazim/claudeWrote 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.
[](https://agentmods.dev/skills/nasrulhazim/claude/project-inventory)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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
-
Ask user for directories to scan — prompt for one or more root directories (e.g.,
~/Projects,~/Packages,~/Work) -
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 -
Detect AI signals — for each discovered project, check for the detection signals listed above
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.
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.
- 9d ago First seen · 427 lines · 174 tokens per session scan A 47e9a9bdaa19
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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