Forensics Osquery
AgentSecOps/SecOpsAgentKit
SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases.
Agent skill
Extracts and analyzes browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge using sqlite3, DB Browser for SQLite, Hindsight, and NirSoft tools…
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-browser-history-artifacts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-browser-history-artifacts --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/extracting-browser-history-artifacts .claude/skills/extracting-browser-history-artifacts && 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 "extracting-browser-history-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-browser-history-artifacts into .claude/skills/extracting-browser-history-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-browser-history-artifacts", 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/extracting-browser-history-artifactsType 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 extracting-browser-history-artifacts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-browser-history-artifacts --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/extracting-browser-history-artifacts .agents/skills/extracting-browser-history-artifacts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "extracting-browser-history-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-browser-history-artifacts into .agents/skills/extracting-browser-history-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-browser-history-artifacts", 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 extracting-browser-history-artifacts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-browser-history-artifacts --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/extracting-browser-history-artifacts .cursor/skills/extracting-browser-history-artifacts && 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 "extracting-browser-history-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-browser-history-artifacts into .cursor/skills/extracting-browser-history-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-browser-history-artifacts", 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/extracting-browser-history-artifacts--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 extracting-browser-history-artifacts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills extracting-browser-history-artifacts --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/extracting-browser-history-artifacts .gemini/skills/extracting-browser-history-artifacts && 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 "extracting-browser-history-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-browser-history-artifacts into .gemini/skills/extracting-browser-history-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-browser-history-artifacts", 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 extracting-browser-history-artifactsInstalls 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 extracting-browser-history-artifacts -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/extracting-browser-history-artifacts .github/skills/extracting-browser-history-artifacts && 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 "extracting-browser-history-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-browser-history-artifacts into .github/skills/extracting-browser-history-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-browser-history-artifacts", 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 extracting-browser-history-artifacts -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 extracting-browser-history-artifacts --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/extracting-browser-history-artifacts .opencode/skills/extracting-browser-history-artifacts && 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 "extracting-browser-history-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/extracting-browser-history-artifacts into .opencode/skills/extracting-browser-history-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extracting-browser-history-artifacts", 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.
extracting-browser-history-artifactsExtracts and analyzes browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge using sqlite3, DB Browser for SQLite, Hindsight, and NirSoft tools…
Extracting Browser History Artifacts is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Extracts and analyzes browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge using sqlite3, DB Browser for SQLite, Hindsight, and NirSoft tools (BrowsingHistoryView, ChromeCacheView, MZCacheView). Use when performing digital forensics or incident response on a disk image or live system and you need timeline evidence of a user's web activity.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Security, covering Digital forensics and Incident response. It works with SQLite. 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.
5 steps, taken from the step headings in SKILL.md.
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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
sqlite3pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From 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.
Extracting Browser History Artifacts loads about 2.9k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 449 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 patterns that need a careful read before installing.
# Key files: History, Cookies, Login Data, Web Data, Bookmarks, Preferences,# Key files: places.sqlite, cookies.sqlite, formhistory.sqlite, logins.json,cp -r "$CHROME_WIN"/{History,Cookies,Downloads,"Login Data","Web Data",Bookmarks} \cp -r $FIREFOX_WIN/{places.sqlite,cookies.sqlite,formhistory.sqlite,logins.json} \cp -r "$EDGE_WIN"/{History,Cookies,Downloads} \# Extract Chrome cookiessqlite3 /cases/case-2024-001/browser/chrome/Cookies << 'SQL'.output /cases/case-2024-001/analysis/chrome_cookies.csv# Extract Firefox cookiessqlite3 /cases/case-2024-001/browser/firefox/cookies.sqlite << 'SQL'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). 449 words, ~2,930 tokens.
.claude/skills/extracting-browser-history-artifacts/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.# Mount forensic image
mount -o ro,loop,offset=$((2048*512)) /cases/case-2024-001/images/evidence.dd /mnt/evidence
# Chrome artifact locations (Windows)
CHROME_WIN="/mnt/evidence/Users/suspect/AppData/Local/Google/Chrome/User Data/Default"
# Key files: History, Cookies, Login Data, Web Data, Bookmarks, Preferences,
# Cache/, GPUCache/, Local Storage/, Session Storage/, IndexedDB/
# Firefox artifact locations (Windows)
FIREFOX_WIN="/mnt/evidence/Users/suspect/AppData/Roaming/Mozilla/Firefox/Profiles/*.default-release"
# Key files: places.sqlite, cookies.sqlite, formhistory.sqlite, logins.json,
# key4.db, sessionstore.jsonlz4, webappsstore.sqlite
# Edge (Chromium) artifact locations (Windows)
EDGE_WIN="/mnt/evidence/Users/suspect/AppData/Local/Microsoft/Edge/User Data/Default"
# Copy artifacts to working directory
mkdir -p /cases/case-2024-001/browser/{chrome,firefox,edge}
cp -r "$CHROME_WIN"/{History,Cookies,Downloads,"Login Data","Web Data",Bookmarks} \
/cases/case-2024-001/browser/chrome/ 2>/dev/null
cp -r $FIREFOX_WIN/{places.sqlite,cookies.sqlite,formhistory.sqlite,logins.json} \
/cases/case-2024-001/browser/firefox/ 2>/dev/null
cp -r "$EDGE_WIN"/{History,Cookies,Downloads} \
/cases/case-2024-001/browser/edge/ 2>/dev/null
# Hash artifacts for integrity
find /cases/case-2024-001/browser/ -type f -exec sha256sum {} \; \
> /cases/case-2024-001/browser/artifact_hashes.txt# Query Chrome History database
sqlite3 /cases/case-2024-001/browser/chrome/History << 'SQL'
.headers on
.mode csv
.output /cases/case-2024-001/analysis/chrome_history.csv
SELECT
urls.url,
urls.title,
datetime(urls.last_visit_time/1000000-11644473600, 'unixepoch') AS last_visit,
urls.visit_count,
urls.typed_count,
visits.transition & 0xFF AS transition_type
FROM urls
LEFT JOIN visits ON urls.id = visits.url
ORDER BY urls.last_visit_time DESC;
SQL
# Extract Chrome downloads
sqlite3 /cases/case-2024-001/browser/chrome/History << 'SQL'
.headers on
.mode csv
.output /cases/case-2024-001/analysis/chrome_downloads.csv
SELECT
current_path,
tab_url AS source_url,
total_bytes,
datetime(start_time/1000000-11644473600, 'unixepoch') AS start_time,
datetime(end_time/1000000-11644473600, 'unixepoch') AS end_time,
state,
danger_type,
mime_type
FROM downloads
ORDER BY start_time DESC;
SQL
# Extract Chrome search terms
sqlite3 /cases/case-2024-001/browser/chrome/History << 'SQL'
.headers on
.mode csv
.output /cases/case-2024-001/analysis/chrome_searches.csv
SELECT
term,
urls.url,
datetime(urls.last_visit_time/1000000-11644473600, 'unixepoch') AS search_time
FROM keyword_search_terms
JOIN urls ON keyword_search_terms.url_id = urls.id
ORDER BY urls.last_visit_time DESC;
SQL# Query Firefox places.sqlite for history
sqlite3 /cases/case-2024-001/browser/firefox/places.sqlite << 'SQL'
.headers on
.mode csv
.output /cases/case-2024-001/analysis/firefox_history.csv
SELECT
moz_places.url,
moz_places.title,
datetime(moz_historyvisits.visit_date/1000000, 'unixepoch') AS visit_date,
moz_places.visit_count,
moz_historyvisits.visit_type
FROM moz_places
JOIN moz_historyvisits ON moz_places.id = moz_historyvisits.place_id
ORDER BY moz_historyvisits.visit_date DESC;
SQL
# Extract Firefox bookmarks
sqlite3 /cases/case-2024-001/browser/firefox/places.sqlite << 'SQL'
.headers on
.mode csv
.output /cases/case-2024-001/analysis/firefox_bookmarks.csv
SELECT
moz_bookmarks.title,
moz_places.url,
datetime(moz_bookmarks.dateAdded/1000000, 'unixepoch') AS date_added,
datetime(moz_bookmarks.lastModified/1000000, 'unixepoch') AS last_modified
FROM moz_bookmarks
JOIN moz_places ON moz_bookmarks.fk = moz_places.id
WHERE moz_bookmarks.type = 1
ORDER BY moz_bookmarks.dateAdded DESC;
SQL
# Extract Firefox form history (search terms, form fills)
sqlite3 /cases/case-2024-001/browser/firefox/formhistory.sqlite << 'SQL'
.headers on
.mode csv
.output /cases/case-2024-001/analysis/firefox_forms.csv
SELECT
fieldname,
value,
timesUsed,
datetime(firstUsed/1000000, 'unixepoch') AS first_used,
datetime(lastUsed/1000000, 'unixepoch') AS last_used
FROM moz_formhistory
ORDER BY lastUsed DESC;
SQL# Extract Chrome cookies
sqlite3 /cases/case-2024-001/browser/chrome/Cookies << 'SQL'
.headers on
.mode csv
.output /cases/case-2024-001/analysis/chrome_cookies.csv
SELECT
host_key,
name,
path,
datetime(creation_utc/1000000-11644473600, 'unixepoch') AS created,
datetime(expires_utc/1000000-11644473600, 'unixepoch') AS expires,
datetime(last_access_utc/1000000-11644473600, 'unixepoch') AS last_access,
is_secure,
is_httponly,
is_persistent
FROM cookies
ORDER BY last_access_utc DESC;
SQL
# Extract Firefox cookies
sqlite3 /cases/case-2024-001/browser/firefox/cookies.sqlite << 'SQL'
.headers on
.mode csv
.output /cases/case-2024-001/analysis/firefox_cookies.csv
SELECT
host,
name,
path,
datetime(creationTime/1000000, 'unixepoch') AS created,
datetime(expiry, 'unixepoch') AS expires,
datetime(lastAccessed/1000000, 'unixepoch') AS last_access,
isSecure,
isHttpOnly
FROM moz_cookies
ORDER BY lastAccessed DESC;
SQL
# Note: Chrome Login Data is encrypted with DPAPI (Windows) or keychain (Mac)
# Extract stored login URLs (passwords are encrypted)
sqlite3 /cases/case-2024-001/browser/chrome/"Login Data" << 'SQL'
.headers on
.mode csv
.output /cases/case-2024-001/analysis/chrome_logins.csv
SELECT
origin_url,
action_url,
username_value,
datetime(date_created/1000000-11644473600, 'unixepoch') AS date_created,
datetime(date_last_used/1000000-11644473600, 'unixepoch') AS date_last_used,
times_used
FROM logins
ORDER BY date_last_used DESC;
SQL# Install Hindsight
pip install pyhindsight
# Run Hindsight against Chrome profile
hindsight -i "/cases/case-2024-001/browser/chrome/" \
-o /cases/case-2024-001/analysis/hindsight_report \
-f xlsx
# Hindsight automatically extracts:
# - Browsing history with timestamps
# - Downloads with source URLs
# - Cookies with decryption (where possible)
# - Cache records
# - Local Storage entries
# - Autofill data
# - Saved passwords (encrypted)
# - Preferences and extensions
# - Session/tab recovery data
# For JSONL output (easier to parse)
hindsight -i "/cases/case-2024-001/browser/chrome/" \
-o /cases/case-2024-001/analysis/hindsight_report \
-f jsonl| Concept | Description |
|---|---|
| Chrome timestamp | Microseconds since January 1, 1601 (WebKit/Chrome epoch) |
| Firefox timestamp | Microseconds since January 1, 1970 (Unix epoch in microseconds) |
| Transition types | How a URL was accessed: typed (1), link (0), bookmark (1), redirect (5/6) |
| DPAPI encryption | Windows Data Protection API encrypting stored passwords and cookies |
| places.sqlite | Firefox combined history and bookmark database |
| SQLite WAL | Write-Ahead Log that may contain recently deleted browser records |
| Session restore | Browser data preserving open tabs across restarts |
| IndexedDB | Browser-based database that may contain web application data |
| Tool | Purpose |
|---|---|
| Hindsight | Comprehensive Chrome/Chromium forensic analysis tool |
| sqlite3 | Command-line SQLite database query tool |
| DB Browser for SQLite | GUI tool for browsing SQLite databases |
| BrowsingHistoryView | NirSoft tool for viewing browser history across all browsers |
| ChromeCacheView | NirSoft tool for examining Chrome cache contents |
| MZCacheView | NirSoft tool for Firefox cache analysis |
| KAPE | Automated artifact collection including browser data |
| Autopsy | Full forensic platform with browser artifact ingest modules |
Scenario 1: Phishing Investigation Extract browser history around the reported phishing timeframe, identify the phishing URL that was visited, check downloads for malicious attachments, examine cookies for session tokens that may have been stolen, correlate with email header analysis.
Scenario 2: Data Exfiltration via Cloud Services Search history for cloud storage URLs (Dropbox, Google Drive, OneDrive, Mega), examine downloads and uploads, check form history for file names entered, review cookies for active cloud service sessions during the investigation period.
Scenario 3: Policy Violation Investigation Extract complete browsing history for the investigation period, categorize sites visited, identify access to prohibited content categories, document timestamps and visit duration, correlate with network proxy logs for verification.
Scenario 4: Malware Delivery Vector Analysis Trace the chain of redirects leading to a drive-by download, examine the downloads database for the malware payload, check cache for exploit kit landing pages, identify the initial referrer URL that started the infection chain.
Browser Forensics Summary:
User Profile: suspect (Windows 10)
Browsers Found: Chrome 120, Firefox 121, Edge 120
Chrome Analysis:
History Entries: 12,456
Downloads: 234
Saved Passwords: 67 sites (encrypted)
Cookies: 3,456
Bookmarks: 89
Firefox Analysis:
History Entries: 5,678
Form Entries: 234
Bookmarks: 45
Cookies: 1,234
Suspicious Findings:
- Visited known phishing URL at 2024-01-15 14:32 UTC
- Downloaded "invoice_update.exe" from suspicious domain
- Cloud storage (mega.nz) accessed 15 times in 2-hour window
- Search queries: "how to encrypt files", "secure file transfer"
Reports:
Chrome History: /analysis/chrome_history.csv
Firefox History: /analysis/firefox_history.csv
Full Report: /analysis/hindsight_report.xlsx© 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 3 other files (scripts, references) in skills/extracting-browser-history-artifacts of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Extracting Browser History Artifacts 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 |
|---|---|---|---|---|---|---|
| Extracting Browser History Artifacts this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.9k | Automated safety check: Warn | Apache-2.0 | |
| Forensics OsqueryAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4.9k | Automated safety check: Notes | Custom licence | |
| Incident Response NetworkLeoYeAI/openclaw-master-skills | 2.2k | — | ~5k | Automated safety check: Pass | Apache-2.0 | |
| Incident Responsehypnguyen1209/offensive-claude | 388 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Ir VelociraptorAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~3.1k | Automated safety check: Pass | Custom licence | |
| DB Ops SopOpenDCAI/DataMind | 451 | — | ~388 | Automated safety check: Pass | Apache-2.0 |
AgentSecOps/SecOpsAgentKit
SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases.
LeoYeAI/openclaw-master-skills
Network forensics evidence collection and analysis during security incidents.
hypnguyen1209/offensive-claude
A skill your agent uses when responding to or forensically investigating an incident — triage acquisition (Velociraptor/KAPE), Volatility 3 memory forensics, Chainsaw/Hayabusa EVTX timelining…
AgentSecOps/SecOpsAgentKit
Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale.
OpenDCAI/DataMind
Database operations runbook — backup, recovery, performance tuning, troubleshooting.
sickn33/agentic-awesome-skills
Authorized digital forensics: memory dumps, disk timelines, PCAP investigation, artifact triage, and incident-response evidence preservation.
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
Extracts and analyzes browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge using sqlite3, DB Browser for SQLite, Hindsight, and NirSoft tools…. Extracting Browser History Artifacts is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Extracts and analyzes browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge using sqlite3, DB Browser for SQLite, Hindsight, and NirSoft tools (BrowsingHistoryView, ChromeCacheView, MZCacheView).
Extracting Browser History Artifacts fits situations like: performing digital forensics; incident response on a disk image; live system and you need timeline evidence of a users web activity.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-browser-history-artifacts -a claude-code`. Or copy the skill folder (skills/extracting-browser-history-artifacts in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/extracting-browser-history-artifacts in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill extracting-browser-history-artifacts -a codex`. Or copy the skill folder (skills/extracting-browser-history-artifacts in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/extracting-browser-history-artifacts 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 extracting-browser-history-artifacts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/extracting-browser-history-artifacts, .gemini/skills/extracting-browser-history-artifacts, .github/skills/extracting-browser-history-artifacts and .opencode/skills/extracting-browser-history-artifacts in your project.
Going by SKILL.md and its folder, Extracting Browser History Artifacts needs Python for the scripts in its folder and the command-line tools its instructions call (sqlite3 and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 10 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Extracting Browser History Artifacts 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 2.9k tokens (SKILL.md is roughly 12k 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 543 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Extracting Browser History Artifacts: Forensics Osquery (AgentSecOps/SecOpsAgentKit, 220 stars), Incident Response Network (LeoYeAI/openclaw-master-skills, 2.2k stars), Incident Response (hypnguyen1209/offensive-claude, 388 stars) and Ir Velociraptor (AgentSecOps/SecOpsAgentKit, 220 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.