wiztree-mcp: Instructions file for Codex

AGENTS.md

wiztree-mcp AGENTS.md is an instructions file for Codex, OpenCode from bigmanBass666/wiztree-mcp. It costs 856 tokens per session, scanned A, original, MIT.

Project instructions for wiztree-mcp, a tool that scans disks and helps inspect where storage space is used. It can search paths, compare scans, and summarize files.

In plain words
What is it for?
Use them when developing, running, or extending wiztree-mcp, especially its disk scans, file searches, reports, and data import.
Why use it?
They give an agent the project layout, setup steps, and available tools before it changes the code.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is bigmanBass666/wiztree-mcp's own configuration. It tells Codex and OpenCode how to work on wiztree-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything wiztree-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to bigmanBass666/wiztree-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/bigmanBass666/wiztree-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/bigmanBass666/wiztree-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 856 This file is loaded in full into every session.
When invoked 856 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00856 $0.00856
Opus 5 $0.00428 $0.00428
Sonnet 5 $0.00171 $0.00171
Haiku 4.5 $0.00086 $0.00086

Measured 8d ago against content hash 9fe55a9f2d40, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

wiztree-mcp AGENTS.md scanned grade A with 1 finding 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 8d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

- WizTree64.exe is a GUI app on Windows; `subprocess.run()` with `STARTUPINFO` hides its window.
AGENTS.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

wiztree-mcp

WizTree-based disk analysis MCP server. Scan drives, query disk usage, search paths, compare scans, and visualize file system data — all from Claude Code.

Quick Start

pip install wiztree-mcp
# WizTree64.exe required on Windows — install from https://diskanalyzer.com/

Register in .mcp.json:

{
  "mcpServers": {
    "wiztree": {
      "type": "stdio",
      "command": ".venv\\Scripts\\python",
      "args": ["-m", "wiztree_mcp"]
    }
  }
}

Architecture

src/wiztree_mcp/
├── __init__.py
├── __main__.py       # Entry point: from server import main; main()
├── server.py         # FastMCP instance, lifespan, tool registration
├── database.py       # SQLite CRUD (scans + entries tables)
├── models.py         # Dataclasses (Scan, Entry, ScanType, EntryType)
├── csv_importer.py   # CSV parser → bulk INSERT into SQLite
├── wiztree_cli.py    # WizTree64.exe discovery & invocation
└── tools/
    ├── scan.py       # scan_disk — primary data ingestion
    ├── query.py      # disk_summary, top_entries, search_paths, drill_down
    ├── analysis.py   # file_type_summary, large_old_files
    ├── compare.py    # compare_scans — SQL FULL OUTER JOIN
    └── manage.py     # list_scans, get_treemap, cleanup_scans

Tools (11 total)

Data Ingestion

  • scan_disk(target, label?, max_depth?, export_folders?, export_files?, treemap?, timeout?) — Scan with WizTree, import CSV into SQLite

Query

  • disk_summary(scan_id, top_n?) — Drive info + capacity + top files/folders
  • top_entries(scan_id, kind?, limit?, offset?) — Largest files/folders
  • search_paths(scan_id, query, kind?, limit?) — Keyword search
  • drill_down(scan_id, folder_path, limit?, offset?) — Browse folder contents
  • file_type_summary(scan_id, limit?) — Disk usage by extension
  • large_old_files(scan_id, older_than_days?, min_size_mb?, limit?) — Cleanup candidates

Comparison

  • compare_scans(scan_id_before, scan_id_after, limit?) — SQL JOIN diff

Management

  • list_scans() — Available scans
  • get_treemap(scan_id) — PNG treemap image
  • cleanup_scans(keep_latest?) — Remove old scans

Read the full file on GitHub · 89 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. 8d ago First seen · 89 lines · 856 tokens per session scan A 9fe55a9f2d40

Subscribe to this mod's changes

wiztree-mcp AGENTS.md is an instructions file published in the GitHub repository bigmanBass666/wiztree-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 856 tokens to every session, about $0.0043 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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