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.
Agent skill
Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill deploying-active-directory-honeytokens -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills deploying-active-directory-honeytokens --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/deploying-active-directory-honeytokens .claude/skills/deploying-active-directory-honeytokens && 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 "deploying-active-directory-honeytokens" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-active-directory-honeytokens into .claude/skills/deploying-active-directory-honeytokens/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-active-directory-honeytokens", 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/deploying-active-directory-honeytokensType 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 deploying-active-directory-honeytokens -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills deploying-active-directory-honeytokens --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/deploying-active-directory-honeytokens .agents/skills/deploying-active-directory-honeytokens && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deploying-active-directory-honeytokens" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-active-directory-honeytokens into .agents/skills/deploying-active-directory-honeytokens/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-active-directory-honeytokens", 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 deploying-active-directory-honeytokens -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills deploying-active-directory-honeytokens --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/deploying-active-directory-honeytokens .cursor/skills/deploying-active-directory-honeytokens && 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 "deploying-active-directory-honeytokens" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-active-directory-honeytokens into .cursor/skills/deploying-active-directory-honeytokens/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-active-directory-honeytokens", 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/deploying-active-directory-honeytokens--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 deploying-active-directory-honeytokens -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills deploying-active-directory-honeytokens --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/deploying-active-directory-honeytokens .gemini/skills/deploying-active-directory-honeytokens && 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 "deploying-active-directory-honeytokens" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-active-directory-honeytokens into .gemini/skills/deploying-active-directory-honeytokens/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-active-directory-honeytokens", 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 deploying-active-directory-honeytokensInstalls 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 deploying-active-directory-honeytokens -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/deploying-active-directory-honeytokens .github/skills/deploying-active-directory-honeytokens && 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 "deploying-active-directory-honeytokens" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-active-directory-honeytokens into .github/skills/deploying-active-directory-honeytokens/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-active-directory-honeytokens", 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 deploying-active-directory-honeytokens -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 deploying-active-directory-honeytokens --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/deploying-active-directory-honeytokens .opencode/skills/deploying-active-directory-honeytokens && 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 "deploying-active-directory-honeytokens" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/deploying-active-directory-honeytokens into .opencode/skills/deploying-active-directory-honeytokens/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploying-active-directory-honeytokens", 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.
deploying-active-directory-honeytokensDeploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps…
Deploying Active Directory Honeytokens is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps, and fake BloodHound paths. Monitors Windows Security Event IDs 4769, 4625, 4662, 5136 for honeytoken interaction. Use when implementing AD deception defenses for detecting lateral movement, credential theft, and reconnaissance.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
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.
6 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 2 files in scripts/ (PowerShell and Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
adsecurity.orghub.trimarcsecurity.comtechcommunity.microsoft.comspecterops.ioapt29a.blogspot.comFrom 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.
Deploying Active Directory Honeytokens loads about 2.4k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 116 tokens; SKILL.md has 550 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). 550 words, ~2,413 tokens.
.claude/skills/deploying-active-directory-honeytokens/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Traditional signature-based detection misses novel attack techniques. Honeytokens provide high-fidelity detection with near-zero false positives because any interaction with a decoy object is inherently suspicious. In Active Directory:
| Event ID | Description | Honeytoken Use |
|---|---|---|
| 4769 | Kerberos TGS ticket requested | Detect Kerberoast against honey SPN |
| 4625 | Failed logon attempt | Detect use of fake credentials from decoy GPO |
| 4662 | Directory service object accessed | Detect DACL read on honeytoken user |
| 5136 | Directory service object modified | Detect modification of decoy GPO |
| 5137 | Directory service object created | Detect GPO creation mimicking decoy |
| 4768 | Kerberos TGT requested | Detect AS-REP roasting of honey account |
Per Trimarc Security research, effective honeytokens must appear legitimate:
Create a honeytoken account that mimics a legacy privileged service account.
# Import the deployment module
Import-Module .\scripts\Deploy-ADHoneytokens.ps1
# Create a honeytoken admin account
$honeyAdmin = New-HoneytokenAdmin `
-SamAccountName "svc_sqlbackup_legacy" `
-DisplayName "SQL Backup Service (Legacy)" `
-Description "Legacy SQL Server backup service account - DO NOT DELETE" `
-OU "OU=Service Accounts,DC=corp,DC=example,DC=com" `
-PasswordLength 128 `
-SetAdminCount $true
Write-Host "Honeytoken admin created: $($honeyAdmin.DistinguishedName)"Assign a realistic but fake SPN to the honeytoken account. Any TGS request for this SPN is definitively malicious (honeyroasting).
# Add fake SPN to honeytoken account
$honeySPN = Add-HoneytokenSPN `
-SamAccountName "svc_sqlbackup_legacy" `
-ServiceClass "MSSQLSvc" `
-Hostname "sql-legacy-bak01.corp.example.com" `
-Port 1433
Write-Host "Honey SPN registered: $($honeySPN.SPN)"
Write-Host "Monitor Event ID 4769 for TGS requests targeting this SPN"Create a fake GPO in SYSVOL with an embedded cpassword (Group Policy Preference password). Attackers using tools like Get-GPPPassword or gpp-decrypt will find and attempt to use these credentials, triggering detection.
# Create decoy GPO with cpassword trap
$decoyGPO = New-DecoyGPO `
-GPOName "Server Maintenance Policy (Legacy)" `
-DecoyUsername "admin_maintenance" `
-DecoyDomain "CORP" `
-SYSVOLPath "\\corp.example.com\SYSVOL\corp.example.com\Policies" `
-EnableAuditSACL $true
Write-Host "Decoy GPO created: $($decoyGPO.GPOGuid)"
Write-Host "SACL audit enabled - any read attempt will generate Event ID 4663"Set ACL permissions that create fake attack paths visible to BloodHound/SharpHound reconnaissance, leading attackers toward monitored honeytokens.
# Create fake BloodHound attack path
$deceptivePath = New-DeceptiveBloodHoundPath `
-HoneytokenSamAccount "svc_sqlbackup_legacy" `
-TargetHighValueGroup "Domain Admins" `
-IntermediateOU "OU=Service Accounts,DC=corp,DC=example,DC=com"
Write-Host "Deceptive path created: $($deceptivePath.PathDescription)"Set up SIEM detection rules to alert on any honeytoken interaction.
# Using the Python detection agent
from agent import ADHoneytokenMonitor
monitor = ADHoneytokenMonitor(config_path="honeytoken_config.json")
# Register all honeytokens for monitoring
monitor.register_honeytoken("svc_sqlbackup_legacy", token_type="admin_account")
monitor.register_honeytoken("MSSQLSvc/sql-legacy-bak01.corp.example.com:1433", token_type="spn")
monitor.register_honeytoken("admin_maintenance", token_type="gpo_credential")
# Generate SIEM detection rules
splunk_rules = monitor.generate_detection_rules(siem="splunk")
sentinel_rules = monitor.generate_detection_rules(siem="sentinel")
sigma_rules = monitor.generate_detection_rules(siem="sigma")
for rule in sigma_rules:
print(f"Rule: {rule['title']}")
print(f" Detection: {rule['detection_logic']}")Test the honeytokens to ensure detection fires correctly.
# Validate honeytoken deployment
$validation = Test-HoneytokenDeployment `
-SamAccountName "svc_sqlbackup_legacy" `
-ValidateAdminCount `
-ValidateSPN `
-ValidateGPODecoy `
-ValidateAuditPolicy
$validation | Format-Table Check, Status, Details -AutoSizeImport-Module .\scripts\Deploy-ADHoneytokens.ps1
# Deploy complete honeytoken suite
$deployment = Deploy-FullHoneytokenSuite `
-Environment "Production" `
-ServiceAccountOU "OU=Service Accounts,DC=corp,DC=example,DC=com" `
-SYSVOLPath "\\corp.example.com\SYSVOL\corp.example.com\Policies" `
-TokenCount 3 `
-IncludeSPN $true `
-IncludeGPODecoy $true `
-IncludeBloodHoundPath $true `
-SIEMType "Splunk"
# Output deployment report
$deployment.Tokens | Format-Table Name, Type, SPN, DetectionRule -AutoSize
$deployment | Export-Csv "honeytoken_deployment_report.csv" -NoTypeInformationindex=wineventlog EventCode=4769 ServiceName="svc_sqlbackup_legacy"
| eval alert_severity="critical"
| eval alert_type="honeytoken_kerberoast"
| table _time, src_ip, Account_Name, ServiceName, Ticket_Encryption_Type
| sort - _timeSecurityEvent
| where EventID == 4769
| where ServiceName in ("svc_sqlbackup_legacy", "svc_exchange_legacy")
| extend AlertType = "Honeytoken Kerberoast Detected"
| project TimeGenerated, Computer, Account, ServiceName, IpAddress, TicketEncryptionType© 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 4 other files (scripts, references) in skills/deploying-active-directory-honeytokens of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Deploying Active Directory Honeytokens 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 |
|---|---|---|---|---|---|---|
| Deploying Active Directory Honeytokens this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.4k | 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
Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps…. Deploying Active Directory Honeytokens is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps, and fake BloodHound paths.
Deploying Active Directory Honeytokens fits situations like: implementing AD deception defenses for detecting lateral movement; credential theft.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill deploying-active-directory-honeytokens -a claude-code`. Or copy the skill folder (skills/deploying-active-directory-honeytokens in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/deploying-active-directory-honeytokens in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill deploying-active-directory-honeytokens -a codex`. Or copy the skill folder (skills/deploying-active-directory-honeytokens in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/deploying-active-directory-honeytokens 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 deploying-active-directory-honeytokens -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deploying-active-directory-honeytokens, .gemini/skills/deploying-active-directory-honeytokens, .github/skills/deploying-active-directory-honeytokens and .opencode/skills/deploying-active-directory-honeytokens in your project.
Going by SKILL.md and its folder, Deploying Active Directory Honeytokens needs PowerShell and Python for the scripts in its folder. Our summary lists: Python 3; PowerShell.
SKILL.md names 5 domains. As links in the text: adsecurity.org, hub.trimarcsecurity.com, techcommunity.microsoft.com, specterops.io and apt29a.blogspot.com. 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.
Deploying Active Directory Honeytokens 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 2.4k tokens (SKILL.md is roughly 9.7k 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 3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Deploying Active Directory Honeytokens: 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 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.