Kubernetes Network Root Cause Analysis
kubeshark/kubeshark
Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.
Agent skill
Hunting For Data Exfiltration Indicators
Hunt for data exfiltration by analyzing Zeek and Suricata network telemetry for unusual data flows, DNS tunneling via large/frequent TXT queries, uploads to personal cloud storage, and…
Install Hunting For Data Exfiltration Indicators
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hunting-for-data-exfiltration-indicators -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hunting-for-data-exfiltration-indicators --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/hunting-for-data-exfiltration-indicators .claude/skills/hunting-for-data-exfiltration-indicators && 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 "hunting-for-data-exfiltration-indicators" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-data-exfiltration-indicators into .claude/skills/hunting-for-data-exfiltration-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-data-exfiltration-indicators", 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/hunting-for-data-exfiltration-indicatorsType 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 hunting-for-data-exfiltration-indicators -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hunting-for-data-exfiltration-indicators --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/hunting-for-data-exfiltration-indicators .agents/skills/hunting-for-data-exfiltration-indicators && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hunting-for-data-exfiltration-indicators" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-data-exfiltration-indicators into .agents/skills/hunting-for-data-exfiltration-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-data-exfiltration-indicators", 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 hunting-for-data-exfiltration-indicators -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hunting-for-data-exfiltration-indicators --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/hunting-for-data-exfiltration-indicators .cursor/skills/hunting-for-data-exfiltration-indicators && 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 "hunting-for-data-exfiltration-indicators" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-data-exfiltration-indicators into .cursor/skills/hunting-for-data-exfiltration-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-data-exfiltration-indicators", 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/hunting-for-data-exfiltration-indicators--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 hunting-for-data-exfiltration-indicators -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hunting-for-data-exfiltration-indicators --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/hunting-for-data-exfiltration-indicators .gemini/skills/hunting-for-data-exfiltration-indicators && 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 "hunting-for-data-exfiltration-indicators" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-data-exfiltration-indicators into .gemini/skills/hunting-for-data-exfiltration-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-data-exfiltration-indicators", 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 hunting-for-data-exfiltration-indicatorsInstalls 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 hunting-for-data-exfiltration-indicators -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/hunting-for-data-exfiltration-indicators .github/skills/hunting-for-data-exfiltration-indicators && 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 "hunting-for-data-exfiltration-indicators" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-data-exfiltration-indicators into .github/skills/hunting-for-data-exfiltration-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-data-exfiltration-indicators", 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 hunting-for-data-exfiltration-indicators -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 hunting-for-data-exfiltration-indicators --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/hunting-for-data-exfiltration-indicators .opencode/skills/hunting-for-data-exfiltration-indicators && 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 "hunting-for-data-exfiltration-indicators" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hunting-for-data-exfiltration-indicators into .opencode/skills/hunting-for-data-exfiltration-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunting-for-data-exfiltration-indicators", 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.
Facts
- Skill name
hunting-for-data-exfiltration-indicators- GitHub stars
- 34k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 413 words
- Files
- 8 (incl. scripts, references, assets)
- Skills in repo
- 644
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Hunt for data exfiltration by analyzing Zeek and Suricata network telemetry for unusual data flows, DNS tunneling via large/frequent TXT queries, uploads to personal cloud storage, and…
- Works in 7 steps: Define Exfiltration Channels: Identify… → Baseline Normal Data Flows: Establish… → Detect Volume Anomalies: Identify hosts… → …
- Hunting for data theft in a compromised environment
- SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
- Runs Python scripts from its folder
What it does
Hunting For Data Exfiltration Indicators is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Hunt for data exfiltration by analyzing Zeek and Suricata network telemetry for unusual data flows, DNS tunneling via large/frequent TXT queries, uploads to personal cloud storage, and encrypted-channel abuse, correlated against threat intel on destination domains. Use when hunting for data theft in a compromised environment, investigating unusual outbound data volumes, or determining what data was stolen during incident response.
Its SKILL.md is about 1.2k 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 DevOps & Cloud, covering Incident response. 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
- Hunting for data theft in a compromised environment
- Investigating unusual outbound data volumes
- Determining what data was stolen during incident response
Example prompts
- “/hunting-for-data-exfiltration-indicators”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Define Exfiltration Channels: Identify potential channels (HTTP/S uploads, DNS tunneling, email attachments, cloud storage, removable…
- Baseline Normal Data Flows: Establish baseline outbound data transfer volumes per user, host, and destination over a 30-day window.
- Detect Volume Anomalies: Identify hosts or users transferring significantly more data than baseline to external destinations.
- Analyze Transfer Destinations: Check destination domains/IPs against threat intel, identify newly registered domains, personal cloud…
- Inspect Protocol Abuse: Look for DNS tunneling (large/frequent TXT queries), ICMP tunneling, or data hidden in allowed protocols.
- Correlate with File Access: Link exfiltration indicators to file access events on sensitive file shares, databases, or repositories.
- Report and Contain: Document findings with evidence, estimate data exposure, and recommend containment actions.
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
No URLs in SKILL.md.
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
Hunting For Data Exfiltration Indicators loads about 1.2k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 119 tokens; SKILL.md has 413 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.
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). 413 words, ~1,197 tokens.
Download SKILL.mdSave it as
.claude/skills/hunting-for-data-exfiltration-indicators/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- hunting-for-data-exfiltration-indicators
- description
- Hunt for data exfiltration by analyzing Zeek and Suricata network telemetry for unusual data flows, DNS tunneling via large/frequent TXT queries, uploads to personal cloud storage, and encrypted-channel abuse, correlated against threat intel on destination domains. Use when hunting for data theft in a compromised environment, investigating unusual outbound data volumes, or determining what data was stolen during incident response.
- domain
- cybersecurity
- subdomain
- threat-hunting
- tags
- threat-hunting, mitre-attack, data-exfiltration, dlp, network-analysis, proactive-detection
- version
- 1.0
- author
- mahipal
- license
- Apache-2.0
- atlas_techniques
- AML.T0024, AML.T0056
- nist_ai_rmf
- MEASURE-2.7, MAP-5.1, MANAGE-2.4
- d3fend_techniques
- File Metadata Consistency Validation, Certificate Analysis, Application Protocol Command Analysis, Content Format Conversion, File Content Analysis
- nist_csf
- DE.CM-01, DE.AE-02, DE.AE-07, ID.RA-05
Hunting for Data Exfiltration Indicators
When to Use
- When hunting for data theft in compromised environments
- After detecting unusual outbound data volumes or patterns
- When investigating potential insider threat data theft
- During incident response to determine what data was stolen
- When threat intel indicates data exfiltration campaigns targeting your sector
Prerequisites
- Network proxy/firewall logs with byte-level data transfer metrics
- DLP solution or CASB with cloud upload visibility
- DNS query logs for DNS exfiltration detection
- Email gateway logs for attachment monitoring
- SIEM with data volume anomaly detection capabilities
Workflow
- Define Exfiltration Channels: Identify potential channels (HTTP/S uploads, DNS tunneling, email attachments, cloud storage, removable media, encrypted protocols).
- Baseline Normal Data Flows: Establish baseline outbound data transfer volumes per user, host, and destination over a 30-day window.
- Detect Volume Anomalies: Identify hosts or users transferring significantly more data than baseline to external destinations.
- Analyze Transfer Destinations: Check destination domains/IPs against threat intel, identify newly registered domains, personal cloud storage, and foreign infrastructure.
- Inspect Protocol Abuse: Look for DNS tunneling (large/frequent TXT queries), ICMP tunneling, or data hidden in allowed protocols.
- Correlate with File Access: Link exfiltration indicators to file access events on sensitive file shares, databases, or repositories.
- Report and Contain: Document findings with evidence, estimate data exposure, and recommend containment actions.
Show full SKILL.md (196 more words)Show less
Key Concepts
| Concept | Description |
|---|---|
| T1041 | Exfiltration Over C2 Channel |
| T1048 | Exfiltration Over Alternative Protocol |
| T1048.001 | Exfiltration Over Symmetric Encrypted Non-C2 |
| T1048.002 | Exfiltration Over Asymmetric Encrypted Non-C2 |
| T1048.003 | Exfiltration Over Unencrypted/Obfuscated Non-C2 |
| T1567 | Exfiltration Over Web Service |
| T1567.002 | Exfiltration to Cloud Storage |
| T1052 | Exfiltration Over Physical Medium |
| T1029 | Scheduled Transfer |
| T1030 | Data Transfer Size Limits (staging) |
| T1537 | Transfer Data to Cloud Account |
| T1020 | Automated Exfiltration |
Tools & Systems
| Tool | Purpose |
|---|---|
| Splunk | SIEM for data volume analysis and SPL queries |
| Zeek | Network metadata for data flow analysis |
| Microsoft Defender for Cloud Apps | CASB for cloud exfiltration |
| Netskope | Cloud DLP and exfiltration detection |
| Suricata | Network IDS for protocol anomaly detection |
| RITA | DNS exfiltration and beacon detection |
| ExtraHop | Network traffic analysis for data flow |
Common Scenarios
- Cloud Storage Exfiltration: User uploads sensitive documents to personal Google Drive or Dropbox via browser.
- DNS Tunneling: Malware exfiltrates data encoded in DNS subdomain queries to attacker-controlled nameserver.
- HTTPS Upload: Compromised system POSTs large data blobs to C2 server over encrypted HTTPS.
- Email Attachment Exfiltration: Insider forwards sensitive documents to personal email accounts.
- Staging and Compression: Adversary stages data in compressed archives before slow exfiltration to avoid detection.
Output Format
Hunt ID: TH-EXFIL-[DATE]-[SEQ]
Exfiltration Channel: [HTTP/DNS/Email/Cloud/USB]
Source: [Host/User]
Destination: [Domain/IP/Service]
Data Volume: [Bytes/MB/GB]
Time Period: [Start - End]
Protocol: [HTTPS/DNS/SMTP/SMB]
Files Involved: [Count/Types]
Risk Level: [Critical/High/Medium/Low]
Confidence: [High/Medium/Low]© 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/hunting-for-data-exfiltration-indicators 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
Hunting For Data Exfiltration Indicators 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 |
|---|---|---|---|---|---|---|
| Hunting For Data Exfiltration Indicators this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Kubernetes Network Root Cause Analysiskubeshark/kubeshark | 12k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 | |
| UModel Root Cause Analysisalibaba/UnifiedModel | 415 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Learningskortix-ai/suna | 20k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Nix Config Debugryan4yin/nix-config | 2.1k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Oncallpigweed-project/pigweed | 548 | — | ~963 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Hunting For Data Exfiltration Indicators
What does Hunting For Data Exfiltration Indicators do?
Hunt for data exfiltration by analyzing Zeek and Suricata network telemetry for unusual data flows, DNS tunneling via large/frequent TXT queries, uploads to personal cloud storage, and…. Hunting For Data Exfiltration Indicators is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Hunt for data exfiltration by analyzing Zeek and Suricata network telemetry for unusual data flows, DNS tunneling via large/frequent TXT queries, uploads to personal cloud storage, and encrypted-channel abuse, correlated against threat intel on destination domains.
When should I use Hunting For Data Exfiltration Indicators?
Hunting For Data Exfiltration Indicators fits situations like: hunting for data theft in a compromised environment; investigating unusual outbound data volumes; determining what data was stolen during incident response.
How do I install Hunting For Data Exfiltration Indicators in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hunting-for-data-exfiltration-indicators -a claude-code`. Or copy the skill folder (skills/hunting-for-data-exfiltration-indicators in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/hunting-for-data-exfiltration-indicators in your project. Claude Code loads it when a task matches its description.
How do I install Hunting For Data Exfiltration Indicators in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hunting-for-data-exfiltration-indicators -a codex`. Or copy the skill folder (skills/hunting-for-data-exfiltration-indicators in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/hunting-for-data-exfiltration-indicators in your project. Codex loads it when a task matches its description.
Can I use Hunting For Data Exfiltration Indicators 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 hunting-for-data-exfiltration-indicators -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hunting-for-data-exfiltration-indicators, .gemini/skills/hunting-for-data-exfiltration-indicators, .github/skills/hunting-for-data-exfiltration-indicators and .opencode/skills/hunting-for-data-exfiltration-indicators in your project.
What does Hunting For Data Exfiltration Indicators need to run?
Going by SKILL.md and its folder, Hunting For Data Exfiltration Indicators needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Hunting For Data Exfiltration Indicators access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Hunting For Data Exfiltration Indicators 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 Hunting For Data Exfiltration Indicators use?
Hunting For Data Exfiltration Indicators 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 Hunting For Data Exfiltration Indicators use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Hunting For Data Exfiltration Indicators?
Skills that share tags, products or a category with Hunting For Data Exfiltration Indicators: Kubernetes Network Root Cause Analysis (kubeshark/kubeshark, 12k stars), UModel Root Cause Analysis (alibaba/UnifiedModel, 415 stars), Learnings (kortix-ai/suna, 20k stars) and Nix Config Debug (ryan4yin/nix-config, 2.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hunting For Data Exfiltration Indicators?
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.