Media Backup
sundial-org/awesome-openclaw-skills
Archive Clawdbot conversation media (photos, videos) to a local folder.
Agent skill
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…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-cloud-storage-forensic-acquisition --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "performing-cloud-storage-forensic-acquisition" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-cloud-storage-forensic-acquisition into .claude/skills/performing-cloud-storage-forensic-acquisition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-cloud-storage-forensic-acquisition", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-cloud-storage-forensic-acquisitionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-cloud-storage-forensic-acquisition --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/performing-cloud-storage-forensic-acquisition .agents/skills/performing-cloud-storage-forensic-acquisition && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performing-cloud-storage-forensic-acquisition" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-cloud-storage-forensic-acquisition into .agents/skills/performing-cloud-storage-forensic-acquisition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-cloud-storage-forensic-acquisition", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-cloud-storage-forensic-acquisition --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/performing-cloud-storage-forensic-acquisition .cursor/skills/performing-cloud-storage-forensic-acquisition && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "performing-cloud-storage-forensic-acquisition" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-cloud-storage-forensic-acquisition into .cursor/skills/performing-cloud-storage-forensic-acquisition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-cloud-storage-forensic-acquisition", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/performing-cloud-storage-forensic-acquisition--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-cloud-storage-forensic-acquisition --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/performing-cloud-storage-forensic-acquisition .gemini/skills/performing-cloud-storage-forensic-acquisition && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "performing-cloud-storage-forensic-acquisition" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-cloud-storage-forensic-acquisition into .gemini/skills/performing-cloud-storage-forensic-acquisition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-cloud-storage-forensic-acquisition", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-cloud-storage-forensic-acquisitionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/performing-cloud-storage-forensic-acquisition .github/skills/performing-cloud-storage-forensic-acquisition && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "performing-cloud-storage-forensic-acquisition" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-cloud-storage-forensic-acquisition into .github/skills/performing-cloud-storage-forensic-acquisition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-cloud-storage-forensic-acquisition", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-storage-forensic-acquisition -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-cloud-storage-forensic-acquisition --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/performing-cloud-storage-forensic-acquisition .opencode/skills/performing-cloud-storage-forensic-acquisition && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "performing-cloud-storage-forensic-acquisition" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-cloud-storage-forensic-acquisition into .opencode/skills/performing-cloud-storage-forensic-acquisition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-cloud-storage-forensic-acquisition", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
performing-cloud-storage-forensic-acquisitionPerform 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. 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.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
graph.microsoft.comlogin.microsoftonline.comAlso links to:
sans.orgmagnetforensics.comdocs.aws.amazon.comarxiv.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 271 words, ~3,505 tokens.
.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.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.
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_pathimport 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", [])# 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.dbximport 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| Service | Local Database | Cache Location | Log Files |
|---|---|---|---|
| OneDrive | SyncEngineDatabase.db | %LOCALAPPDATA%\Microsoft\OneDrive\cache\ | %LOCALAPPDATA%\Microsoft\OneDrive\logs\ |
| Google Drive | metadata_sqlite_db | %LOCALAPPDATA%\Google\DriveFS{account}\content_cache\ | %LOCALAPPDATA%\Google\DriveFS\Logs\ |
| Dropbox | filecache.dbx (encrypted) | %APPDATA%\Dropbox.dropbox.cache\ | %APPDATA%\Dropbox\logs\ |
| Box | sync_db | %LOCALAPPDATA%\Box\Box\cache\ | %LOCALAPPDATA%\Box\Box\logs\ |
$ 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
SKILL.md and 7 other files (scripts, references, assets) in skills/performing-cloud-storage-forensic-acquisition of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Performing Cloud Storage Forensic Acquisition this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Media Backupsundial-org/awesome-openclaw-skills | 663 | — | ~478 | Automated safety check: Pass | None | |
| C Filesdaxaur/openpaw | 173 | — | ~317 | Automated safety check: Pass | MIT | |
| Gws Drive Uploadgoogleworkspace/cli | 31k | 1 repos | ~322 | Automated safety check: Pass | Apache-2.0 | |
| Msgraphcodemie-ai/codemie-code | 294 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| aai-cli Microsoft 365aai-labs/agent-barn | 109 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 |
sundial-org/awesome-openclaw-skills
Archive Clawdbot conversation media (photos, videos) to a local folder.
daxaur/openpaw
Sync files to Google Drive, S3, Dropbox, OneDrive, and 70+ cloud providers using rclone.
googleworkspace/cli
Google Drive: Upload a file with automatic metadata. An agent skill from googleworkspace/cli.
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…
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.
microsoft/work-iq
WorkIQ tools for Microsoft 365 workplace data and actions. An agent skill from microsoft/work-iq.
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.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
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.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
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.
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.
Works with
Categories
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.
Performing Cloud Storage Forensic Acquisition fits situations like: tasks that involve Cloud office suites; tasks that involve Incident response.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.