Agent skill

Performing Cloud Storage Forensic Acquisition

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Perform forensic acquisition of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by pulling API-based remote data such as revision history and audit logs, and collecting…

Apache-2.0Auto-check passedDocuments & Office

Install Performing Cloud Storage Forensic Acquisition

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-cloud-storage-forensic-acquisition --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/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/performing-cloud-storage-forensic-acquisition .claude/skills/performing-cloud-storage-forensic-acquisition && 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
performing-cloud-storage-forensic-acquisition
GitHub stars
34k
Token cost
~3.5k tokens
SKILL.md length
271 words
Files
8 (incl. scripts, references, assets)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Perform forensic acquisition of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by pulling API-based remote data such as revision history and audit logs, and collecting…

  • Tasks that involve Cloud office suites
  • SKILL.md covers Overview, When to Use, Prerequisites and Acquisition Methods, plus 3 more sections
  • Runs Python scripts from its folder; reaches graph.microsoft.com and login.microsoftonline.com
  • Tasks that involve Incident response

What it does

Performing Cloud Storage Forensic Acquisition is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Perform forensic acquisition of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by pulling API-based remote data such as revision history and audit logs, and collecting local sync-client artifacts including KAPE targets and OneDrive databases from endpoints. Use during incident response or e-discovery when evidence resides in cloud-synced storage and both cloud-side and endpoint-side artifacts must be preserved.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).

It sits in Documents & Office, covering Cloud office suites and Incident response. It works with Microsoft OneDrive, Google Drive and Dropbox. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Cloud office suites
  • Tasks that involve Incident response

Example prompts

  • “/performing-cloud-storage-forensic-acquisition”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. 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

    Ships 2 files in scripts/ (Python), which the agent can run.

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • graph.microsoft.com
    • login.microsoftonline.com

    Also links to:

    • sans.org
    • magnetforensics.com
    • docs.aws.amazon.com
    • arxiv.org

    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

Performing Cloud Storage Forensic Acquisition loads about 3.5k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 271 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.4k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 271 words, ~3,505 tokens.

Download SKILL.mdSave it as .claude/skills/performing-cloud-storage-forensic-acquisition/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
performing-cloud-storage-forensic-acquisition
description
Perform forensic acquisition of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by pulling API-based remote data such as revision history and audit logs, and collecting local sync-client artifacts including KAPE targets and OneDrive databases from endpoints. Use during incident response or e-discovery when evidence resides in cloud-synced storage and both cloud-side and endpoint-side artifacts must be preserved.
domain
cybersecurity
subdomain
digital-forensics
tags
cloud-forensics, google-drive, onedrive, dropbox, box, cloud-acquisition, api-forensics, sync-client, endpoint-artifacts, magnet-axiom
version
1.0
author
mahipal
license
Apache-2.0
nist_ai_rmf
MEASURE-2.7, MAP-5.1, MANAGE-2.4
atlas_techniques
AML.T0070, AML.T0066, AML.T0082
nist_csf
RS.AN-03, DE.AE-02, RS.MA-01
mitre_attack
T1005, T1074, T1119, T1070, T1059

Performing Cloud Storage Forensic Acquisition

Overview

Cloud storage forensic acquisition involves collecting digital evidence from services like Google Drive, OneDrive, Dropbox, and Box through both API-based remote acquisition and local endpoint artifact analysis. Modern investigations must address the challenge that cloud-synced files may exist in multiple states: locally synchronized, cloud-only (on-demand), cached, and deleted. Endpoint devices that have synchronized with cloud storage contain a wealth of metadata about locally synced files, files present only in the cloud, and even deleted items recoverable from cache folders. API-based acquisition using service-specific APIs provides direct access to remote data with valid credentials and proper legal authorization.

When to Use

  • When conducting security assessments that involve performing cloud storage forensic acquisition
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Legal authorization (warrant, consent, or corporate policy) for cloud data access
  • Valid user credentials or administrative access tokens
  • Magnet AXIOM Cloud, Cellebrite Cloud Analyzer, or equivalent tool
  • KAPE with cloud storage target files
  • Python 3.8+ with google-api-python-client, msal, dropbox SDK
  • Network connectivity for API-based acquisition

Acquisition Methods

Method 1: API-Based Remote Acquisition
Google Drive API Acquisition
python
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from googleapiclient.http import MediaIoBaseDownload
import io
import os
import json
from datetime import datetime


class GoogleDriveForensicAcquisition:
    """Forensically acquire files and metadata from Google Drive via API."""

    def __init__(self, credentials_path: str, output_dir: str):
        self.creds = Credentials.from_authorized_user_file(credentials_path)
        self.service = build("drive", "v3", credentials=self.creds)
        self.output_dir = output_dir
        os.makedirs(output_dir, exist_ok=True)
        self.acquisition_log = []

    def list_all_files(self, include_trashed: bool = True) -> list:
        """List all files including trashed items."""
        files = []
        page_token = None
        query = "" if include_trashed else "trashed = false"

        while True:
            results = self.service.files().list(
                q=query,
                pageSize=1000,
                fields="nextPageToken, files(id, name, mimeType, size, "
                       "createdTime, modifiedTime, trashed, trashedTime, "
                       "owners, sharingUser, permissions, md5Checksum, "
                       "parents, webViewLink, driveId)",
                pageToken=page_token
            ).execute()

            files.extend(results.get("files", []))
            page_token = results.get("nextPageToken")
            if not page_token:
                break

        return files

    def download_file(self, file_id: str, file_name: str, mime_type: str) -> str:
        """Download a file from Google Drive preserving forensic integrity."""
        output_path = os.path.join(self.output_dir, file_name)

        if mime_type.startswith("application/vnd.google-apps"):
            export_formats = {
                "application/vnd.google-apps.document": "application/pdf",
                "application/vnd.google-apps.spreadsheet": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
                "application/vnd.google-apps.presentation": "application/pdf",
            }
            export_mime = export_formats.get(mime_type, "application/pdf")
            request = self.service.files().export_media(fileId=file_id, mimeType=export_mime)
        else:
            request = self.service.files().get_media(fileId=file_id)

        with io.FileIO(output_path, "wb") as fh:
            downloader = MediaIoBaseDownload(fh, request)
            done = False
            while not done:
                _, done = downloader.next_chunk()

        self.acquisition_log.append({
            "timestamp": datetime.utcnow().isoformat(),
            "file_id": file_id,
            "file_name": file_name,
            "output_path": output_path,
            "action": "downloaded"
        })
        return output_path

    def get_activity_log(self, file_id: str) -> list:
        """Retrieve activity/revision history for a specific file."""
        revisions = self.service.revisions().list(
            fileId=file_id,
            fields="revisions(id, modifiedTime, lastModifyingUser, size, md5Checksum)"
        ).execute()
        return revisions.get("revisions", [])

    def export_acquisition_report(self) -> str:
        """Export acquisition log for chain of custody documentation."""
        report_path = os.path.join(self.output_dir, "acquisition_log.json")
        with open(report_path, "w") as f:
            json.dump({
                "acquisition_start": self.acquisition_log[0]["timestamp"] if self.acquisition_log else None,
                "acquisition_end": datetime.utcnow().isoformat(),
                "total_files": len(self.acquisition_log),
                "entries": self.acquisition_log
            }, f, indent=2)
        return report_path
OneDrive / Microsoft 365 API Acquisition
python
import msal
import requests
import os
import json
from datetime import datetime


class OneDriveForensicAcquisition:
    """Forensically acquire files and metadata from OneDrive via Microsoft Graph API."""

    def __init__(self, client_id: str, tenant_id: str, client_secret: str, output_dir: str):
        self.output_dir = output_dir
        os.makedirs(output_dir, exist_ok=True)

        authority = f"https://login.microsoftonline.com/{tenant_id}"
        self.app = msal.ConfidentialClientApplication(
            client_id, authority=authority, client_credential=client_secret
        )
        token_result = self.app.acquire_token_for_client(
            scopes=["https://graph.microsoft.com/.default"]
        )
        self.access_token = token_result.get("access_token")
        self.headers = {"Authorization": f"Bearer {self.access_token}"}
        self.base_url = "https://graph.microsoft.com/v1.0"

    def list_user_files(self, user_id: str) -> list:
        """List all files in user's OneDrive."""
        url = f"{self.base_url}/users/{user_id}/drive/root/children"
        files = []
        while url:
            response = requests.get(url, headers=self.headers)
            data = response.json()
            files.extend(data.get("value", []))
            url = data.get("@odata.nextLink")
        return files

    def download_file(self, user_id: str, item_id: str, filename: str) -> str:
        """Download a file from OneDrive."""
        url = f"{self.base_url}/users/{user_id}/drive/items/{item_id}/content"
        response = requests.get(url, headers=self.headers, stream=True)
        output_path = os.path.join(self.output_dir, filename)
        with open(output_path, "wb") as f:
            for chunk in response.iter_content(chunk_size=8192):
                f.write(chunk)
        return output_path

    def get_deleted_items(self, user_id: str) -> list:
        """Retrieve items from OneDrive recycle bin."""
        url = f"{self.base_url}/users/{user_id}/drive/special/recyclebin/children"
        response = requests.get(url, headers=self.headers)
        return response.json().get("value", [])
Method 2: Local Endpoint Artifact Collection
KAPE Targets for Cloud Storage
powershell
# Collect all cloud storage artifacts using KAPE
kape.exe --tsource C: --tdest C:\Output\CloudArtifacts --target GoogleDrive,OneDrive,Dropbox,Box

# OneDrive artifacts
# %USERPROFILE%\AppData\Local\Microsoft\OneDrive\logs\
# %USERPROFILE%\AppData\Local\Microsoft\OneDrive\settings\
# %USERPROFILE%\OneDrive\

# Google Drive artifacts
# %USERPROFILE%\AppData\Local\Google\DriveFS\
# Contains metadata SQLite databases and cached files

# Dropbox artifacts
# %USERPROFILE%\AppData\Local\Dropbox\
# %USERPROFILE%\Dropbox\.dropbox.cache\
# Contains filecache.dbx (encrypted SQLite), host.dbx, config.dbx
OneDrive Local Database Analysis
python
import sqlite3
import os

def analyze_onedrive_sync_engine(db_path: str) -> list:
    """Analyze OneDrive SyncEngineDatabase for file metadata."""
    conn = sqlite3.connect(db_path)
    cursor = conn.cursor()

    # Query for all tracked files including cloud-only items
    cursor.execute("""
        SELECT fileName, fileSize, lastChange,
               resourceID, parentResourceID, eTag
        FROM od_ClientFile_Records
        ORDER BY lastChange DESC
    """)

    files = []
    for row in cursor.fetchall():
        files.append({
            "filename": row[0],
            "size": row[1],
            "last_change": row[2],
            "resource_id": row[3],
            "parent_id": row[4],
            "etag": row[5]
        })

    conn.close()
    return files

Cloud Storage Artifacts Summary

ServiceLocal DatabaseCache LocationLog Files
OneDriveSyncEngineDatabase.db%LOCALAPPDATA%\Microsoft\OneDrive\cache\%LOCALAPPDATA%\Microsoft\OneDrive\logs\
Google Drivemetadata_sqlite_db%LOCALAPPDATA%\Google\DriveFS{account}\content_cache\%LOCALAPPDATA%\Google\DriveFS\Logs\
Dropboxfilecache.dbx (encrypted)%APPDATA%\Dropbox.dropbox.cache\%APPDATA%\Dropbox\logs\
Boxsync_db%LOCALAPPDATA%\Box\Box\cache\%LOCALAPPDATA%\Box\Box\logs\

References

Example Output

text
$ python3 cloud_forensic_acquire.py --provider google-drive --auth /tokens/gdrive_token.json \
    --user jsmith@corporate.com --output /acquisition/gdrive

Cloud Storage Forensic Acquisition Tool v3.2
==============================================
Provider:    Google Drive
Account:     jsmith@corporate.com
Start Time:  2024-01-19 08:00:15 UTC
Auth Method: Admin SDK (domain-wide delegation)

[+] Enumerating files...
    Total files:        2,345
    Total folders:      178
    Shared with me:     456
    Trashed items:      89 (included in acquisition)
    Total size:         14.7 GB

[+] Acquiring file contents...
    Downloaded:    2,345 / 2,345  [████████████████████████████████] 100%
    Errors:        0
    Elapsed:       18m 32s

[+] Acquiring metadata...
    File metadata:      2,345 entries
    Revision history:   8,912 revisions across 1,234 files
    Sharing permissions: 3,456 permission entries
    Activity log:       12,345 events

[+] Acquiring trashed items...
    Recovered:     89 / 89 items (234 MB)

--- Acquisition Log ---
Timestamp (UTC)          | Action           | File                                    | Size    | SHA-256
2024-01-19 08:00:45      | Downloaded       | /My Drive/Finance/Q4_Report.xlsm        | 245 KB  | 7a3b8c9d...
2024-01-19 08:00:46      | Downloaded       | /My Drive/Finance/Budget_2024.xlsx       | 1.2 MB  | 8b4c9d0e...
...
2024-01-19 08:02:12      | Trash-Recovered  | /Trash/employee_list_full.csv            | 4.5 MB  | 9c5d0e1f...
2024-01-19 08:02:13      | Trash-Recovered  | /Trash/network_diagram_v3.vsdx          | 2.1 MB  | 0d6e1f2a...
2024-01-19 08:02:14      | Trash-Recovered  | /Trash/credentials_backup.kdbx          | 128 KB  | 1e7f2a3b...

--- Sharing Analysis ---
Files Shared Externally:
  /My Drive/Finance/Q4_Report.xlsm     → j.smith.personal8842@protonmail.com (2024-01-16 03:10 UTC)
  /My Drive/HR/employee_list_full.csv   → j.smith.personal8842@protonmail.com (2024-01-16 03:12 UTC)
  /My Drive/IT/network_diagram_v3.vsdx  → anonymous (link sharing, 2024-01-16 03:15 UTC)

--- Revision History (Suspicious) ---
File: /My Drive/Finance/Q4_Report.xlsm
  Rev 1:  2024-01-10 09:00:00 UTC  (245 KB)  - Original
  Rev 2:  2024-01-15 14:35:00 UTC  (248 KB)  - Modified (macro added)
  Rev 3:  2024-01-16 03:05:00 UTC  (245 KB)  - Reverted (macro removed - anti-forensics)

Acquisition Summary:
  Files acquired:       2,345 (14.7 GB)
  Trashed items:        89 (234 MB)
  Revisions:            8,912
  Chain of custody hash (full archive):
    SHA-256: a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2
  Output directory:     /acquisition/gdrive/
  Acquisition log:      /acquisition/gdrive/acquisition_log.csv
  Completion Time:      2024-01-19 08:18:47 UTC

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/performing-cloud-storage-forensic-acquisition of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Performing Cloud Storage Forensic Acquisition 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.

Performing Cloud Storage Forensic Acquisition compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Performing Cloud Storage Forensic Acquisition this skillmukul975/Anthropic-Cybersecurity-Skills34k—~3.5kAutomated safety check: PassApache-2.0
Media Backupsundial-org/awesome-openclaw-skills663—~478Automated safety check: PassNone
C Filesdaxaur/openpaw173—~317Automated safety check: PassMIT
Gws Drive Uploadgoogleworkspace/cli31k1 repos~322Automated safety check: PassApache-2.0
Msgraphcodemie-ai/codemie-code294—~4.1kAutomated safety check: PassApache-2.0
aai-cli Microsoft 365aai-labs/agent-barn109—~1.2kAutomated safety check: PassApache-2.0

Similar skills

  • Media Backup

    sundial-org/awesome-openclaw-skills

    Archive Clawdbot conversation media (photos, videos) to a local folder.

    663 GitHub stars~478 tokensUpdated 7 mo ago
    Documents & OfficeAuto-check passed
  • C Files

    daxaur/openpaw

    Sync files to Google Drive, S3, Dropbox, OneDrive, and 70+ cloud providers using rclone.

    173 GitHub stars~317 tokensUpdated 4 mo ago
    Backend & APIsAuto-check passed
  • Gws Drive Upload

    googleworkspace/cli

    Google Drive: Upload a file with automatic metadata. An agent skill from googleworkspace/cli.

    31k GitHub starsUsed in 1 repo~322 tokens
    Documents & OfficeAuto-check passed
  • Msgraph

    codemie-ai/codemie-code

    Work with Microsoft 365 services via the Graph API — emails, calendar events, SharePoint sites (read and write), Teams chats and channel messages, OneDrive files, OneNote notebooks, Planner task…

    294 GitHub stars~4.1k tokensUpdated yesterday
    Documents & OfficeAuto-check passed
  • aai-cli Microsoft 365

    aai-labs/agent-barn

    Guides work with Outlook, OneDrive, SharePoint, Teams, Excel, To Do and Planner through aai-cli's Microsoft Graph commands, starting from which service owns the data.

    109 GitHub stars~1.2k tokensUpdated yesterday
    Documents & OfficeAuto-check passed
  • Workiq

    microsoft/work-iq

    Official

    WorkIQ tools for Microsoft 365 workplace data and actions. An agent skill from microsoft/work-iq.

    1k GitHub stars~15k tokensUpdated yesterday
    Documents & OfficeAuto-check passed

More from mukul975/Anthropic-Cybersecurity-Skills

All 644 skills in this repo
  • Campaign Attribution Evidence Analysis

    mukul975/Anthropic-Cybersecurity-Skills

    Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.

    34k GitHub stars~2.3k tokensUpdated 1 mo ago
    Auto-check passed
  • Go Malware Analysis in Ghidra

    mukul975/Anthropic-Cybersecurity-Skills

    Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed
  • LNK and Jump List Forensics

    mukul975/Anthropic-Cybersecurity-Skills

    Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed
  • Malware Persistence Analysis with Autoruns

    mukul975/Anthropic-Cybersecurity-Skills

    Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.

    34k GitHub stars~1.2k tokensUpdated 1 mo ago
    Auto-check passed
  • NTFS MFT Deleted File Recovery

    mukul975/Anthropic-Cybersecurity-Skills

    Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.

    34k GitHub stars~2.7k tokensUpdated 1 mo ago
    Auto-check passed
  • Network Covert Channel Analysis

    mukul975/Anthropic-Cybersecurity-Skills

    Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.

    34k GitHub stars~2k tokensUpdated 1 mo ago
    Auto-check passed

Questions about Performing Cloud Storage Forensic Acquisition

What does Performing Cloud Storage Forensic Acquisition do?

Perform forensic acquisition of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by pulling API-based remote data such as revision history and audit logs, and collecting…. Performing Cloud Storage Forensic Acquisition is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Perform forensic acquisition of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by pulling API-based remote data such as revision history and audit logs, and collecting local sync-client artifacts including KAPE targets and OneDrive databases from endpoints.

When should I use Performing Cloud Storage Forensic Acquisition?

Performing Cloud Storage Forensic Acquisition fits situations like: tasks that involve Cloud office suites; tasks that involve Incident response.

How do I install Performing Cloud Storage Forensic Acquisition in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a claude-code`. Or copy the skill folder (skills/performing-cloud-storage-forensic-acquisition in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-cloud-storage-forensic-acquisition in your project. Claude Code loads it when a task matches its description.

How do I install Performing Cloud Storage Forensic Acquisition in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a codex`. Or copy the skill folder (skills/performing-cloud-storage-forensic-acquisition in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-cloud-storage-forensic-acquisition in your project. Codex loads it when a task matches its description.

Can I use Performing Cloud Storage Forensic Acquisition 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 mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-cloud-storage-forensic-acquisition, .gemini/skills/performing-cloud-storage-forensic-acquisition, .github/skills/performing-cloud-storage-forensic-acquisition and .opencode/skills/performing-cloud-storage-forensic-acquisition in your project.

What does Performing Cloud Storage Forensic Acquisition need to run?

Going by SKILL.md and its folder, Performing Cloud Storage Forensic Acquisition needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Performing Cloud Storage Forensic Acquisition access the network?

SKILL.md names 6 domains. In commands or code: graph.microsoft.com and login.microsoftonline.com; the agent is likely to contact these when it follows the instructions. As links in the text: sans.org, magnetforensics.com, docs.aws.amazon.com and arxiv.org. This is read from the text; nothing was executed.

Is Performing Cloud Storage Forensic Acquisition 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Performing Cloud Storage Forensic Acquisition use?

Performing Cloud Storage Forensic Acquisition is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Performing Cloud Storage Forensic Acquisition use?

About 3.5k tokens (SKILL.md is roughly 14k 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 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Performing Cloud Storage Forensic Acquisition?

Skills that share tags, products or a category with Performing Cloud Storage Forensic Acquisition: Media Backup (sundial-org/awesome-openclaw-skills, 663 stars), C Files (daxaur/openpaw, 173 stars), Gws Drive Upload (googleworkspace/cli, 31k stars) and Msgraph (codemie-ai/codemie-code, 294 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Performing Cloud Storage Forensic Acquisition?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.