Improve existing skill
This Claude Code skill provides a template for identifying and documenting improvements needed in existing cybersecurity skills from the Anthropic-Cybersecurity-Skills repository. Use it when reviewing skill implementations that contain errors, incomplete documentation, incorrect threat mapping, or missing metadata fields to systematically catalog and prioritize enhancement work across agent code, API references, skill documentation, and ATT&CK framework alignments.
git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills /tmp/improve-existing-skill && cp -r /tmp/improve-existing-skill/.github/ISSUE_TEMPLATE/improve- ~/.claude/skills/improve-existing-skillimprove-skill.md
## Skill to improve <!-- Folder name of the skill --> ## What needs improvement? - [ ] agent.py has errors or placeholders - [ ] api-reference.md is incomplete - [ ] SKILL.md frontmatter is missing fields - [ ] ATT&CK mapping is incorrect - [ ] Other: ## Suggested improvement
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket's dpapi.py, including domain-wide decryption via the DPAPI backup key. Use during authorized red-team credential-access engagements after gaining a foothold or when triaging DPAPI blobs pulled from a host.
Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target's NT hash without a password reset. Use when BloodHound shows GenericWrite/GenericAll/AddKeyCredentialLink over a target, as a stealthier alternative to ForceChangePassword, during authorized red-team engagements.
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Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.
Detect dangerous ACL misconfigurations in Active Directory using ldap3
Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect