Authorization Bypass Detection
Tencent/AI-Infra-Guard
Probes an AI agent through dialogue for cross-user data access, privilege escalation and login bypass, and reports confirmed findings as structured vulnerability entries.
Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769) targeting service accounts with SPNs, which attackers request offline to crack service account passwords.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-kerberoasting-attacks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-kerberoasting-attacks --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/detecting-kerberoasting-attacks .claude/skills/detecting-kerberoasting-attacks && 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 "detecting-kerberoasting-attacks" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-kerberoasting-attacks into .claude/skills/detecting-kerberoasting-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-kerberoasting-attacks", 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/detecting-kerberoasting-attacksType 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 detecting-kerberoasting-attacks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-kerberoasting-attacks --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/detecting-kerberoasting-attacks .agents/skills/detecting-kerberoasting-attacks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "detecting-kerberoasting-attacks" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-kerberoasting-attacks into .agents/skills/detecting-kerberoasting-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-kerberoasting-attacks", 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 detecting-kerberoasting-attacks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-kerberoasting-attacks --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/detecting-kerberoasting-attacks .cursor/skills/detecting-kerberoasting-attacks && 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 "detecting-kerberoasting-attacks" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-kerberoasting-attacks into .cursor/skills/detecting-kerberoasting-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-kerberoasting-attacks", 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/detecting-kerberoasting-attacks--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 detecting-kerberoasting-attacks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-kerberoasting-attacks --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/detecting-kerberoasting-attacks .gemini/skills/detecting-kerberoasting-attacks && 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 "detecting-kerberoasting-attacks" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-kerberoasting-attacks into .gemini/skills/detecting-kerberoasting-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-kerberoasting-attacks", 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 detecting-kerberoasting-attacksInstalls 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 detecting-kerberoasting-attacks -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/detecting-kerberoasting-attacks .github/skills/detecting-kerberoasting-attacks && 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 "detecting-kerberoasting-attacks" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-kerberoasting-attacks into .github/skills/detecting-kerberoasting-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-kerberoasting-attacks", 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 detecting-kerberoasting-attacks -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 detecting-kerberoasting-attacks --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/detecting-kerberoasting-attacks .opencode/skills/detecting-kerberoasting-attacks && 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 "detecting-kerberoasting-attacks" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-kerberoasting-attacks into .opencode/skills/detecting-kerberoasting-attacks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-kerberoasting-attacks", 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.
detecting-kerberoasting-attacksDetect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769) targeting service accounts with SPNs, which attackers request offline to crack service account passwords.
Detecting Kerberoasting Attacks is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769) targeting service accounts with SPNs, which attackers request offline to crack service account passwords. Use when hunting for MITRE T1558 credential access activity or investigating suspected service account password cracking attempts in Active Directory Kerberos logs.
Its SKILL.md is about 910 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 Security, covering Red teaming and adversary simulation. 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.
7 steps, taken from the first numbered list 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 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Detecting Kerberoasting Attacks loads about 914 tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 292 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). 292 words, ~914 tokens.
.claude/skills/detecting-kerberoasting-attacks/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.| Concept | Description |
|---|---|
| T1558.003 | Kerberoasting |
| T1558.004 | AS-REP Roasting |
| T1558.001 | Golden Ticket |
| Tool | Purpose |
|---|---|
| CrowdStrike Falcon | EDR telemetry and threat detection |
| Microsoft Defender for Endpoint | Advanced hunting with KQL |
| Splunk Enterprise | SIEM log analysis with SPL queries |
| Elastic Security | Detection rules and investigation timeline |
| Sysmon | Detailed Windows event monitoring |
| Velociraptor | Endpoint artifact collection and hunting |
| Sigma Rules | Cross-platform detection rule format |
Hunt ID: TH-DETECT-[DATE]-[SEQ]
Technique: T1558.003
Host: [Hostname]
User: [Account context]
Evidence: [Log entries, process trees, network data]
Risk Level: [Critical/High/Medium/Low]
Confidence: [High/Medium/Low]
Recommended Action: [Containment, investigation, monitoring]© 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/detecting-kerberoasting-attacks of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Detecting Kerberoasting Attacks 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 |
|---|---|---|---|---|---|---|
| Detecting Kerberoasting Attacks this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~914 | Automated safety check: Pass | Apache-2.0 | |
| Authorization Bypass DetectionTencent/AI-Infra-Guard | 6.8k | — | ~753 | Automated safety check: Pass | Apache-2.0 | |
| Run Assert Evalresponsibleai/ASSERT | 330 | — | ~11k | Automated safety check: Notes | MIT | |
| Osint Methodologyelementalsouls/Claude-OSINT | 2.8k | — | ~8.7k | Automated safety check: Notes | MIT | |
| Lfd Designelvisun/loss-function-development | 176 | — | ~2.9k | Automated safety check: Notes | MIT | |
| Acl AbuseADScanPro/Claude-AD | 211 | — | ~2.6k | Automated safety check: Pass | MIT |
Tencent/AI-Infra-Guard
Probes an AI agent through dialogue for cross-user data access, privilege escalation and login bypass, and reports confirmed findings as structured vulnerability entries.
responsibleai/ASSERT
Run an ASSERT evaluation against a described risk. An agent skill from responsibleai/ASSERT.
elementalsouls/Claude-OSINT
Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments.
elvisun/loss-function-development
Design a loss function and harness for a long-running /goal optimization run (loss-function development, LFD).
ADScanPro/Claude-AD
Abusing Active Directory object ACLs (DACL/ownership) for privilege escalation and lateral movement (GenericAll, GenericWrite, WriteDACL, WriteOwner, AddMember, ForceChangePassword, and replication…
Tencent/AI-Infra-Guard
Probes whether an agent with web fetch and stored user memory can be tricked by a malicious page into leaking data through chained URL paths.
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.
Categories
Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769) targeting service accounts with SPNs, which attackers request offline to crack service account passwords. Detecting Kerberoasting Attacks is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769) targeting service accounts with SPNs, which attackers request offline to crack service account passwords.
Detecting Kerberoasting Attacks fits situations like: hunting for MITRE T1558 credential access activity; investigating suspected service account password cracking attempts in Active Directory Kerberos logs.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-kerberoasting-attacks -a claude-code`. Or copy the skill folder (skills/detecting-kerberoasting-attacks in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-kerberoasting-attacks in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-kerberoasting-attacks -a codex`. Or copy the skill folder (skills/detecting-kerberoasting-attacks in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-kerberoasting-attacks 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 detecting-kerberoasting-attacks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-kerberoasting-attacks, .gemini/skills/detecting-kerberoasting-attacks, .github/skills/detecting-kerberoasting-attacks and .opencode/skills/detecting-kerberoasting-attacks in your project.
Going by SKILL.md and its folder, Detecting Kerberoasting Attacks needs Python for the scripts in its folder. Our summary lists: Python 3.
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.
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.
Detecting Kerberoasting Attacks 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 914 tokens (SKILL.md is roughly 3.7k 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.
Skills that share tags, products or a category with Detecting Kerberoasting Attacks: Authorization Bypass Detection (Tencent/AI-Infra-Guard, 6.8k stars), Run Assert Eval (responsibleai/ASSERT, 330 stars), Osint Methodology (elementalsouls/Claude-OSINT, 2.8k stars) and Lfd Design (elvisun/loss-function-development, 176 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 33,993 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.