Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/cellrishi-code-threat-modeling
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/threat-modeling
What's inside
- Skill name
threat-modeling- Description
- None
- License
- MIT
- Instructions
- 34 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# Lightweight Threat Modeling ## Purpose Help teams identify security risks early by systematically examining assets, trust boundaries, threats, and mitigations. ## When to use Use during feature planning, architecture reviews, major dependency changes, or before exposing a new service or API. ## Instructions 1. Define the system boundary, intended use, deployment context, and explicit exclusions. 2. List important assets, such as credentials, personal data, business records, and privileged operations. 3. Draw or describe components, data flows, entry points, external services, and trust boundaries. 4. For each flow, ask who can send input, what is trusted, what authorization is enforced, and what happens on failure. 5. Consider relevant threat categories: spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege. 6. Rank each threat using likelihood, impact, assumptions, and existing controls. Do not imply numeric precision without a defined scoring method. 7. Recommend mitigations that map directly to threats and identify an owner or verification test where possible. 8. Revisit the model when system boundaries, data sensitivity, or trust assumptions change. ## Inputs - System purpose and architecture - Data-flow description or diagram - Assets and trust boundaries - Deployment assumptions and existing controls ## Outputs A concise threat register containing the threat, affected asset or flow, assumptions, impact, existing controls, recommended mitigation, and validation approach. ## Example For a file-upload service, examine file type and size validation, storage permissions, malware scanning, access checks on downloads, and resource-exhaustion limits. ## Limitations A threat model identifies plausible risks; it does not prove that a vulnerability exists. Validate important assumptions against implementation and deployment evidence.
From cellrishi-code/claude-skills-atlas, MIT.
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Signals
- Stars
- 6
- Forks
- 6
- Open issues
- 143
- Last commit (this folder)
- Oct 4, 2026 (25 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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SkillAFreshness: A★ 6Claude Code +9 - 0.622score
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Use when entering an unfamiliar codebase and you need to understand architecture, entry points, dependencies, conventions, and data flow before editing.
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skill-author
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Design or improve a reusable Claude Agent Skill with precise activation criteria, focused instructions, examples, verification, and safe boundaries.
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Cite this page
threat-modeling skill. Agent Mart. https://agentmart.dev/skills/cellrishi-code-threat-modeling (last updated 2026-10-24)