Security And Hardening
penpot/penpot
Hardens code against vulnerabilities. An agent skill from penpot/penpot.
Agent skill
Uses OWASP Threat Dragon (web or desktop) to build data flow diagrams, identify threats with STRIDE, LINDDUN, CIA, DIE, or PLOT4ai methodologies via its auto-generation rule engine, and produce PDF…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-threat-modeling-with-owasp-threat-dragon -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-threat-modeling-with-owasp-threat-dragon --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/performing-threat-modeling-with-owasp-threat-dragon .claude/skills/performing-threat-modeling-with-owasp-threat-dragon && 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 "performing-threat-modeling-with-owasp-threat-dragon" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-threat-modeling-with-owasp-threat-dragon into .claude/skills/performing-threat-modeling-with-owasp-threat-dragon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-threat-modeling-with-owasp-threat-dragon", 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/performing-threat-modeling-with-owasp-threat-dragonType 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 performing-threat-modeling-with-owasp-threat-dragon -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-threat-modeling-with-owasp-threat-dragon --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/performing-threat-modeling-with-owasp-threat-dragon .agents/skills/performing-threat-modeling-with-owasp-threat-dragon && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performing-threat-modeling-with-owasp-threat-dragon" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-threat-modeling-with-owasp-threat-dragon into .agents/skills/performing-threat-modeling-with-owasp-threat-dragon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-threat-modeling-with-owasp-threat-dragon", 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 performing-threat-modeling-with-owasp-threat-dragon -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-threat-modeling-with-owasp-threat-dragon --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/performing-threat-modeling-with-owasp-threat-dragon .cursor/skills/performing-threat-modeling-with-owasp-threat-dragon && 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 "performing-threat-modeling-with-owasp-threat-dragon" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-threat-modeling-with-owasp-threat-dragon into .cursor/skills/performing-threat-modeling-with-owasp-threat-dragon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-threat-modeling-with-owasp-threat-dragon", 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/performing-threat-modeling-with-owasp-threat-dragon--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 performing-threat-modeling-with-owasp-threat-dragon -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-threat-modeling-with-owasp-threat-dragon --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/performing-threat-modeling-with-owasp-threat-dragon .gemini/skills/performing-threat-modeling-with-owasp-threat-dragon && 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 "performing-threat-modeling-with-owasp-threat-dragon" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-threat-modeling-with-owasp-threat-dragon into .gemini/skills/performing-threat-modeling-with-owasp-threat-dragon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-threat-modeling-with-owasp-threat-dragon", 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 performing-threat-modeling-with-owasp-threat-dragonInstalls 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 performing-threat-modeling-with-owasp-threat-dragon -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/performing-threat-modeling-with-owasp-threat-dragon .github/skills/performing-threat-modeling-with-owasp-threat-dragon && 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 "performing-threat-modeling-with-owasp-threat-dragon" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-threat-modeling-with-owasp-threat-dragon into .github/skills/performing-threat-modeling-with-owasp-threat-dragon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-threat-modeling-with-owasp-threat-dragon", 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 performing-threat-modeling-with-owasp-threat-dragon -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 performing-threat-modeling-with-owasp-threat-dragon --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/performing-threat-modeling-with-owasp-threat-dragon .opencode/skills/performing-threat-modeling-with-owasp-threat-dragon && 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 "performing-threat-modeling-with-owasp-threat-dragon" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-threat-modeling-with-owasp-threat-dragon into .opencode/skills/performing-threat-modeling-with-owasp-threat-dragon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-threat-modeling-with-owasp-threat-dragon", 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.
performing-threat-modeling-with-owasp-threat-dragonUses OWASP Threat Dragon (web or desktop) to build data flow diagrams, identify threats with STRIDE, LINDDUN, CIA, DIE, or PLOT4ai methodologies via its auto-generation rule engine, and produce PDF…
Performing Threat Modeling With Owasp Threat Dragon is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Uses OWASP Threat Dragon (web or desktop) to build data flow diagrams, identify threats with STRIDE, LINDDUN, CIA, DIE, or PLOT4ai methodologies via its auto-generation rule engine, and produce PDF threat model reports. Use during secure design review of an application architecture to build a formal threat model and document mitigations for GRC compliance.
Its SKILL.md is about 2.1k 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 Threat modeling and Web application vulnerabilities. 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 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/ (Python), which the agent can run.
Shell commands in SKILL.md call:
openssldockerFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comowasp.orgcheatsheetseries.owasp.orglearn.microsoft.comlinddun.orgFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ENCRYPTION_JWT_SIGNING_KEYENCRYPTION_JWT_REFRESH_SIGNING_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Performing Threat Modeling With Owasp Threat Dragon loads about 2.1k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 810 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). 810 words, ~2,136 tokens.
.claude/skills/performing-threat-modeling-with-owasp-threat-dragon/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.OWASP Threat Dragon is an open-source threat modeling tool that enables security teams and developers to create threat model diagrams, identify threats using established methodologies (STRIDE, LINDDUN, CIA, DIE, PLOT4ai), and generate comprehensive reports. Threat Dragon runs as both a web application and desktop application (Windows, macOS, Linux), supporting distributed teams working collaboratively on threat models. Version 2.x provides drag-and-drop diagram creation, an auto-generation rule engine for threats and mitigations, and PDF report output for documentation and GRC compliance.
| Category | Threat Type | Description | Example |
|---|---|---|---|
| S | Spoofing | Impersonating a user or system | Stolen session tokens |
| T | Tampering | Modifying data in transit or at rest | SQL injection altering records |
| R | Repudiation | Denying an action occurred | Missing audit logs |
| I | Information Disclosure | Exposing sensitive data | API returning excessive fields |
| D | Denial of Service | Making a service unavailable | Resource exhaustion attack |
| E | Elevation of Privilege | Gaining unauthorized access | Broken access control |
| Category | Threat Type | Description |
|---|---|---|
| L | Linkability | Associating data items across contexts |
| I | Identifiability | Identifying an individual from data |
| N | Non-repudiation | Inability to deny an action (privacy risk) |
| D | Detectability | Determining if data about a subject exists |
| D | Disclosure | Exposing personal information |
| U | Unawareness | User unaware of data collection |
| N | Non-compliance | Violating privacy regulations |
Desktop Application: Download the installer from the OWASP Threat Dragon releases page for Windows (.exe), macOS (.dmg), or Linux (.AppImage/.deb/.rpm).
Web Application (Docker):
docker run -p 3000:3000 \
-e ENCRYPTION_JWT_SIGNING_KEY=$(openssl rand -hex 32) \
-e ENCRYPTION_JWT_REFRESH_SIGNING_KEY=$(openssl rand -hex 32) \
-e ENCRYPTION_KEYS='[{"isPrimary":true,"id":0,"value":"'$(openssl rand -hex 16)'"}]' \
-e NODE_ENV=production \
owasp/threat-dragon:latestBefore creating diagrams, document the scope:
In Threat Dragon, create a new threat model and add diagrams using the following DFD elements:
Processes: Applications, microservices, API endpoints that transform data. Represented as circles/rounded rectangles.
Data Stores: Databases, file systems, caches, message queues that persist data. Represented as parallel lines.
External Entities: Users, external systems, third-party services outside the trust boundary. Represented as rectangles.
Data Flows: Communication channels between elements showing data direction. Represented as arrows with labels describing the data.
Trust Boundaries: Dashed lines separating zones of different trust levels (internet/DMZ/internal network, user/admin).
For each DFD element, apply the STRIDE methodology:
| Element Type | Applicable STRIDE Categories |
|---|---|
| External Entity | Spoofing, Repudiation |
| Process | Spoofing, Tampering, Repudiation, Information Disclosure, DoS, Elevation of Privilege |
| Data Store | Tampering, Information Disclosure, DoS |
| Data Flow | Tampering, Information Disclosure, DoS |
Threat Dragon's rule engine automatically suggests threats based on element types. Review each suggestion and mark as:
For each open threat, document:
Threat Dragon produces PDF reports containing:
Threat Dragon uses JSON format for threat models, enabling version control and programmatic manipulation:
{
"version": "2.2.0",
"summary": {
"title": "E-Commerce Application",
"owner": "Security Team",
"description": "Threat model for the checkout flow"
},
"detail": {
"contributors": [
{"name": "Security Architect"}
],
"diagrams": [
{
"id": 0,
"title": "Checkout Flow",
"diagramType": "STRIDE",
"cells": []
}
]
}
}Threat Dragon participates in the CycloneDX Threat Model Bill of Materials (TMBOM) effort, enabling export to a common format that can be consumed by other threat modeling tools and GRC platforms, preventing vendor lock-in.
© 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/performing-threat-modeling-with-owasp-threat-dragon of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Performing Threat Modeling With Owasp Threat Dragon 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 |
|---|---|---|---|---|---|---|
| Performing Threat Modeling With Owasp Threat Dragon this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Security And Hardeningpenpot/penpot | 61k | 6 repos | ~4.7k | Automated safety check: Notes | MPL-2.0 | |
| Security Audit Scannerruvnet/ruflo | 74k | 1 repos | ~823 | Automated safety check: Pass | MIT | |
| Security and Hardeningaddyosmani/agent-skills | 105k | 1 repos | ~4.4k | Automated safety check: Notes | MIT | |
| CybersecurityAgriciDaniel/claude-cybersecurity | 228 | — | ~11k | Automated safety check: Warn | MIT | |
| Securitygaragon/nanostack | 207 | — | ~3.7k | Automated safety check: Notes | Apache-2.0 |
penpot/penpot
Hardens code against vulnerabilities. An agent skill from penpot/penpot.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
addyosmani/agent-skills
Applies a threat-model-first approach to web code that handles untrusted input, authentication, data storage, dependencies or personal data.
AgriciDaniel/claude-cybersecurity
Ultimate AI-powered cybersecurity code review skill. An agent skill from AgriciDaniel/claude-cybersecurity.
garagon/nanostack
Use before shipping to production. An agent skill from garagon/nanostack.
xenitV1/Antigravity-Workflows
Advanced vulnerability analysis principles. An agent skill from xenitV1/Antigravity-Workflows.
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
Uses OWASP Threat Dragon (web or desktop) to build data flow diagrams, identify threats with STRIDE, LINDDUN, CIA, DIE, or PLOT4ai methodologies via its auto-generation rule engine, and produce PDF…. Performing Threat Modeling With Owasp Threat Dragon is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Uses OWASP Threat Dragon (web or desktop) to build data flow diagrams, identify threats with STRIDE, LINDDUN, CIA, DIE, or PLOT4ai methodologies via its auto-generation rule engine, and produce PDF threat model reports.
Performing Threat Modeling With Owasp Threat Dragon fits situations like: tasks that involve Threat modeling; tasks that involve Web application vulnerabilities.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-threat-modeling-with-owasp-threat-dragon -a claude-code`. Or copy the skill folder (skills/performing-threat-modeling-with-owasp-threat-dragon in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-threat-modeling-with-owasp-threat-dragon in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-threat-modeling-with-owasp-threat-dragon -a codex`. Or copy the skill folder (skills/performing-threat-modeling-with-owasp-threat-dragon in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-threat-modeling-with-owasp-threat-dragon 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 performing-threat-modeling-with-owasp-threat-dragon -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-threat-modeling-with-owasp-threat-dragon, .gemini/skills/performing-threat-modeling-with-owasp-threat-dragon, .github/skills/performing-threat-modeling-with-owasp-threat-dragon and .opencode/skills/performing-threat-modeling-with-owasp-threat-dragon in your project.
Going by SKILL.md and its folder, Performing Threat Modeling With Owasp Threat Dragon needs Python for the scripts in its folder, the command-line tools its instructions call (openssl and docker) and credentials named ENCRYPTION_JWT_SIGNING_KEY and ENCRYPTION_JWT_REFRESH_SIGNING_KEY. Our summary lists: Python 3; Docker; A credential in ENCRYPTION_JWT_SIGNING_KEY; A credential in ENCRYPTION_JWT_REFRESH_SIGNING_KEY.
SKILL.md names 5 domains. As links in the text: github.com, owasp.org, cheatsheetseries.owasp.org, learn.microsoft.com and linddun.org. 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.
Performing Threat Modeling With Owasp Threat Dragon 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 2.1k tokens (SKILL.md is roughly 8.5k 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 1.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Performing Threat Modeling With Owasp Threat Dragon: Security And Hardening (penpot/penpot, 61k stars), Security Audit Scanner (ruvnet/ruflo, 74k stars), Security and Hardening (addyosmani/agent-skills, 105k stars) and Cybersecurity (AgriciDaniel/claude-cybersecurity, 228 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.