Fla Ascend Performance
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
Agent skill
Implementing Privileged Access Workstation
Design and implement Privileged Access Workstations (PAWs) using the tiered administration model, with device hardening, device compliance enforcement via Microsoft Intune or Group Policy…
Install Implementing Privileged Access Workstation
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-privileged-access-workstation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-privileged-access-workstation --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/implementing-privileged-access-workstation .claude/skills/implementing-privileged-access-workstation && 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 "implementing-privileged-access-workstation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-privileged-access-workstation into .claude/skills/implementing-privileged-access-workstation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-privileged-access-workstation", 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/implementing-privileged-access-workstationType 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 implementing-privileged-access-workstation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-privileged-access-workstation --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/implementing-privileged-access-workstation .agents/skills/implementing-privileged-access-workstation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "implementing-privileged-access-workstation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-privileged-access-workstation into .agents/skills/implementing-privileged-access-workstation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-privileged-access-workstation", 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 implementing-privileged-access-workstation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-privileged-access-workstation --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/implementing-privileged-access-workstation .cursor/skills/implementing-privileged-access-workstation && 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 "implementing-privileged-access-workstation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-privileged-access-workstation into .cursor/skills/implementing-privileged-access-workstation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-privileged-access-workstation", 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/implementing-privileged-access-workstation--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 implementing-privileged-access-workstation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-privileged-access-workstation --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/implementing-privileged-access-workstation .gemini/skills/implementing-privileged-access-workstation && 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 "implementing-privileged-access-workstation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-privileged-access-workstation into .gemini/skills/implementing-privileged-access-workstation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-privileged-access-workstation", 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 implementing-privileged-access-workstationInstalls 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 implementing-privileged-access-workstation -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/implementing-privileged-access-workstation .github/skills/implementing-privileged-access-workstation && 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 "implementing-privileged-access-workstation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-privileged-access-workstation into .github/skills/implementing-privileged-access-workstation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-privileged-access-workstation", 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 implementing-privileged-access-workstation -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 implementing-privileged-access-workstation --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/implementing-privileged-access-workstation .opencode/skills/implementing-privileged-access-workstation && 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 "implementing-privileged-access-workstation" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-privileged-access-workstation into .opencode/skills/implementing-privileged-access-workstation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-privileged-access-workstation", 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
implementing-privileged-access-workstation- GitHub stars
- 34k
- Token cost
- ~650 tokens
- SKILL.md length
- 219 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 637
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Design and implement Privileged Access Workstations (PAWs) using the tiered administration model, with device hardening, device compliance enforcement via Microsoft Intune or Group Policy…
- Works in 7 steps: Audit current privileged access patterns… → Configure device hardening baselines… → Enforce compliance policies via Intune… → …
- Hardening admin endpoints
- SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
- Runs Python scripts from its folder
What it does
Implementing Privileged Access Workstation is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Design and implement Privileged Access Workstations (PAWs) using the tiered administration model, with device hardening, device compliance enforcement via Microsoft Intune or Group Policy, just-in-time (JIT) access provisioning, and integration with PAM platforms like CyberArk or BeyondTrust. Use when hardening admin endpoints, designing a tiered administration model, or securing privileged administrative operations.
Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Security. 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
- Hardening admin endpoints
- Designing a tiered administration model
- Securing privileged administrative operations
Example prompts
- “/implementing-privileged-access-workstation”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Audit current privileged access patterns and identify Tier 0/1/2 assets
- Configure device hardening baselines (AppLocker, Credential Guard, Device Guard)
- Enforce compliance policies via Intune or GPO
- Implement just-in-time access with time-limited admin group membership
- Integrate with CyberArk/BeyondTrust for credential vaulting
- Validate PAW configuration against CIS and Microsoft PAW guidance
- Monitor privileged sessions and generate compliance reports
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 1 file 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
Implementing Privileged Access Workstation loads about 650 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 116 tokens; SKILL.md has 219 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). 219 words, ~650 tokens.
Download SKILL.mdSave it as
.claude/skills/implementing-privileged-access-workstation/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- implementing-privileged-access-workstation
- description
- Design and implement Privileged Access Workstations (PAWs) using the tiered administration model, with device hardening, device compliance enforcement via Microsoft Intune or Group Policy, just-in-time (JIT) access provisioning, and integration with PAM platforms like CyberArk or BeyondTrust. Use when hardening admin endpoints, designing a tiered administration model, or securing privileged administrative operations.
- domain
- cybersecurity
- subdomain
- identity-and-access-management
- tags
- privileged-access, PAW, zero-trust, device-hardening, CyberArk, BeyondTrust, just-in-time-access
- version
- 1.0
- author
- mahipal
- license
- Apache-2.0
- nist_csf
- PR.AA-01, PR.AA-02, PR.AA-05
- mitre_attack
- T1078, T1190, T1059
Implementing Privileged Access Workstation
Overview
A Privileged Access Workstation (PAW) is a hardened device dedicated to performing sensitive administrative tasks. This skill covers PAW design using the tiered administration model, device compliance enforcement via Microsoft Intune or Group Policy, just-in-time (JIT) access provisioning, and integration with privileged access management (PAM) platforms like CyberArk and BeyondTrust.
When to Use
- When deploying or configuring implementing privileged access workstation capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- Windows 10/11 Enterprise with Virtualization Based Security (VBS)
- Microsoft Intune or Active Directory Group Policy
- CyberArk Privileged Access Security or BeyondTrust Password Safe (optional)
- Python 3.9+ with
requests,subprocess,json - Administrative access to target endpoints
Steps
- Audit current privileged access patterns and identify Tier 0/1/2 assets
- Configure device hardening baselines (AppLocker, Credential Guard, Device Guard)
- Enforce compliance policies via Intune or GPO
- Implement just-in-time access with time-limited admin group membership
- Integrate with CyberArk/BeyondTrust for credential vaulting
- Validate PAW configuration against CIS and Microsoft PAW guidance
- Monitor privileged sessions and generate compliance reports
Expected Output
- JSON report listing device compliance status, hardening checks, JIT access windows, and PAM integration verification
- Risk scoring per workstation with remediation recommendations
© 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 3 other files (scripts, references) in skills/implementing-privileged-access-workstation of mukul975/Anthropic-Cybersecurity-Skills.
- SKILL.md
- LICENSE
- references/api-reference.md
- scripts/agent.py
Open the folder on GitHubat commit 54a7988
Compare with similar skills
Implementing Privileged Access Workstation 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 |
|---|---|---|---|---|---|---|
| Implementing Privileged Access Workstation this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~650 | Automated safety check: Pass | Apache-2.0 | |
| Fla Ascend Performancefla-org/flash-linear-attention | 5.8k | — | ~6.3k | Automated safety check: Pass | MIT | |
| Deepsec Documentation Guidevercel-labs/deepsec | 8.1k | — | ~956 | Automated safety check: Pass | Apache-2.0 | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit | 480 | 1 repos | ~3.3k | Automated safety check: Pass | None | |
| Security Alert Triageelastic/agent-skills | 592 | 1 repos | ~3.5k | Automated safety check: Notes | Apache-2.0 |
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Related
Categories
Questions about Implementing Privileged Access Workstation
What does Implementing Privileged Access Workstation do?
Design and implement Privileged Access Workstations (PAWs) using the tiered administration model, with device hardening, device compliance enforcement via Microsoft Intune or Group Policy…. Implementing Privileged Access Workstation is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Design and implement Privileged Access Workstations (PAWs) using the tiered administration model, with device hardening, device compliance enforcement via Microsoft Intune or Group Policy, just-in-time (JIT) access provisioning, and integration with PAM platforms like CyberArk or BeyondTrust.
When should I use Implementing Privileged Access Workstation?
Implementing Privileged Access Workstation fits situations like: hardening admin endpoints; designing a tiered administration model; securing privileged administrative operations.
How do I install Implementing Privileged Access Workstation in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-privileged-access-workstation -a claude-code`. Or copy the skill folder (skills/implementing-privileged-access-workstation in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-privileged-access-workstation in your project. Claude Code loads it when a task matches its description.
How do I install Implementing Privileged Access Workstation in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-privileged-access-workstation -a codex`. Or copy the skill folder (skills/implementing-privileged-access-workstation in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-privileged-access-workstation in your project. Codex loads it when a task matches its description.
Can I use Implementing Privileged Access Workstation 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 implementing-privileged-access-workstation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-privileged-access-workstation, .gemini/skills/implementing-privileged-access-workstation, .github/skills/implementing-privileged-access-workstation and .opencode/skills/implementing-privileged-access-workstation in your project.
What does Implementing Privileged Access Workstation need to run?
Going by SKILL.md and its folder, Implementing Privileged Access Workstation needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Implementing Privileged Access Workstation 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 Implementing Privileged Access Workstation 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 Implementing Privileged Access Workstation use?
Implementing Privileged Access Workstation 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 Implementing Privileged Access Workstation use?
About 650 tokens (SKILL.md is roughly 2.6k 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 517 tokens, read only when the agent opens those files.
What are the alternatives to Implementing Privileged Access Workstation?
Skills that share tags, products or a category with Implementing Privileged Access Workstation: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 480 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Implementing Privileged Access Workstation?
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,922 GitHub stars. The repository holds 637 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.