Anthropic Cybersecurity Skills is a library of structured cybersecurity procedures for AI agents, covering security domains and mappings to established security frameworks. It is for authorized security analysis, penetration testing, incident response, research, defense, and education across compatible AI platforms. The catalogue entries package parts of this library as agent skills, instructions, or a plugin.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill abusing-dpapi-for-credential-accessgit clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/abusing-dpapi-for-credential-access)<a href="https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/abusing-dpapi-for-credential-access"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/abusing-dpapi-for-credential-access/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mukul975/anthropic-cybersecurity-skills/abusing-dpapi-for-credential-access"><img src="https://agentmods.dev/badge/skills/mukul975/anthropic-cybersecurity-skills/abusing-dpapi-for-credential-access.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket fail
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- high Privilege Escalation · line 80 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 141 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00097 | $0.02594 |
| Opus 5 | $0.00048 | $0.01297 |
| Sonnet 5 | $0.00019 | $0.00519 |
| Haiku 4.5 | $0.00010 | $0.00259 |
Grade A, and why
abusing-dpapi-for-credential-access scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- abusing-dpapi-for-credential-access — 100% identical, 0 lines differ
- abusing-dpapi-for-credential-access — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Abusing DPAPI for Credential Access
Legal Notice: This skill is for authorized penetration testing, red-team engagements, and educational purposes only. Extracting credentials from systems you do not own or lack explicit written authorization to test is illegal and may violate computer fraud and abuse laws. Always operate within a signed rules-of-engagement and document every action.
Overview
The Windows Data Protection API (DPAPI) is the operating system's built-in symmetric-encryption service that applications use to protect secrets at rest: saved RDP and Windows Credential Manager credentials, web and Wi-Fi credentials in the Credential Vault, browser saved logins and cookies (Chrome/Edge), KeePass keys, certificate private keys, and Scheduled Task passwords. DPAPI derives a per-user (or per-machine) master key from the user's password (or the machine account secret), and that master key encrypts individual "DPAPI blobs." The encrypted master keys live under %APPDATA%\Microsoft\Protect\<SID>\ (user) and %WINDIR%\System32\Microsoft\Protect\ (machine).
Red teamers abuse DPAPI to recover plaintext secrets after gaining a foothold, mapping to MITRE ATT&CK T1555.004 (Credentials from Password Stores: Windows Credential Manager). There are three primary decryption paths:
- Online / context-based — running as the target user, DPAPI APIs (
CryptUnprotectData) transparently decrypt the user's blobs. SharpDPAPI's/unprotectflag uses this. - Offline with the user password or NTLM hash — decrypt the user's master keys with
/password:or/ntlm:, then decrypt the blobs offline (great for triaged files pulled from a host). - Domain-wide with the DPAPI backup key — Domain Admins can extract the domain's RSA DPAPI backup key (
.pvk) once, then decrypt any domain user's master keys forever, online or offline, with/pvk:.
The canonical tooling is SharpDPAPI (GhostPack, a C# port of Mimikatz DPAPI functionality) for Windows, SharpChrome for browser secrets, and Mimikatz (dpapi::*) as the original implementation. On Linux, Impacket's dpapi.py and donpapi perform remote/offline triage.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 210 lines · 97 tokens per session scan A e62c6659059f
abusing-dpapi-for-credential-access is a skill published in the GitHub repository mukul975/Anthropic-Cybersecurity-Skills (32,457 stars, last pushed 10d ago), licensed Apache-2.0. It adds 97 tokens to every session and 2,594 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
abusing-dpapi-for-credential-access
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…
abusing-dpapi-for-credential-access
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…
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Active Directory post-exploitation skill — covers everything after gaining initial access to a Windows domain environment. Activate when the user has valid domain credentials, a shell on a domain-joined machine, or escalated privileges and wants to: move laterally across the network, escalate to Domain Admin, harvest…
conducting-domain-persistence-with-dcsync
Perform DCSync attacks to replicate Active Directory credentials and establish domain persistence by extracting KRBTGT, Domain Admin, and service account hashes for Golden Ticket creation.
analyzing-windows-prefetch-with-python
Parse Windows Prefetch files using the windowsprefetch Python library to reconstruct application execution history, detect renamed or masquerading binaries, and identify suspicious program execution patterns.
conducting-internal-reconnaissance-with-bloodhound-ce
Conduct internal Active Directory reconnaissance using BloodHound Community Edition to map attack paths, identify privilege escalation chains, and discover misconfigurations in domain environments.