filesystem

filesystem is a skill for Claude Code, Codex from Memento-Teams/Memento-Skills. It costs 24 tokens per session (664 once invoked), scanned A, original, Apache-2.0.

A set of direct tools for working with files and folders on a computer.

In plain words
What is it for?
Reading, creating, editing, listing, copying, moving, and searching files, including JSON and CSV data.
Why use it?
It lets a coding agent inspect and change project files without relying on extra services.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Reading, creating, editing, listing, copying, moving, and searching files, including JSON and CSV data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/memento-teams/memento-skills/filesystem
About the project

Memento-Skills is an agent runtime and skill framework in which agents can create, reuse, execute, reflect on, and repair persistent skills. It is intended for multi-step task execution, research, planning, and building reusable agent behaviour through a desktop application or public runtime. The catalogue entries are examples of skills and agents built for this framework.

Memento-Teams/Memento-Skills · 1,555 stars · on GitHub · arxiv.org

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 Memento-Teams/Memento-Skills --skill filesystem
Clone the repo
git clone --depth 1 https://github.com/Memento-Teams/Memento-Skills

Made for: Claude Code, Codex.

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 filesystem

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/memento-teams/memento-skills/filesystem"><img src="https://agentmods.dev/badge/skills/memento-teams/memento-skills/filesystem.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 664 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 $0.00024 $0.00664
Opus 5 $0.00012 $0.00332
Sonnet 5 $0.00005 $0.00133
Haiku 4.5 $0.00002 $0.00066

Measured 11d ago against content hash 76e4299c5310, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

filesystem 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 11d 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.

builtin/skills/filesystem/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Filesystem Skill

Overview

Direct filesystem operations without external dependencies. Read, write, edit, list, copy, move, and search files.

Usage

Use the available builtin tools to perform file operations directly. Commonly used tools for this skill are: list_dir, read_file, file_create, edit_file_by_lines, grep, and bash.

When the task requires programmatic/structured processing (e.g., parsing complex formats or batch transformations), python_repl can be used as an advanced fallback.

  • Paths can be absolute or relative to working_dir
  • Parent directories are created automatically for write operations
  • For complex file operations not covered by builtin tools, use bash

Common Recipes

JSON

import json

# Read
with open('data.json', 'r', encoding='utf-8') as f:
    data = json.load(f)

# Write (pretty-printed)
with open('output.json', 'w', encoding='utf-8') as f:
    json.dump(data, f, indent=2, ensure_ascii=False)

CSV

import csv

# Read
with open('data.csv', 'r', encoding='utf-8') as f:
    reader = csv.DictReader(f)
    for row in reader:
        print(row)

# Write
with open('output.csv', 'w', newline='', encoding='utf-8') as f:
    writer = csv.DictWriter(f, fieldnames=['name', 'value'])
    writer.writeheader()
    writer.writerows([{'name': 'a', 'value': 1}])

YAML

# Requires: pip install pyyaml
import yaml

# Read
with open('config.yaml', 'r') as f:
    data = yaml.safe_load(f)

# Write
with open('output.yaml', 'w') as f:
    yaml.dump(data, f, default_flow_style=False, allow_unicode=True)

Directory Operations

# List files recursively
find . -type f -name "*.py"

# Directory size
du -sh /path/to/dir

# Copy directory
cp -r src/ dst/

# Move/rename
mv old_name.txt new_name.txt

File Search

# Search file contents (grep)
grep -r "search_term" --include="*.py" .

# Find files by name
find . -name "*.log" -mtime -7  # Modified in last 7 days

# Count lines
wc -l *.py

Read the full file on GitHub · 115 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. 11d ago First seen · 115 lines · 24 tokens per session scan A 76e4299c5310

Subscribe to this mod's changes

filesystem is a skill published in the GitHub repository Memento-Teams/Memento-Skills (1,555 stars, last pushed 25d ago), licensed Apache-2.0. It adds 24 tokens to every session and 664 once invoked, about $0.0001 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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