jmanico/grim-prompter
Threat modeling for AI coding agents: point Claude Code, Codex or any agent at your repo and get an evidence-traced threat model. 36 architectures, 29 methods, MIT.
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README & documentation
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Grim Prompter Threat modeling for AI coding agents. Point Claude Code, Codex or any coding agent at your repo. Get a threat model traced to your code. Threat model your project with Claude Code, Codex, or another coding agent. Grim Prompter provides 36 architecture workflows and 29 method and analysis prompts. Your agent follows a structured review of the code, trust boundaries, threats, existing controls, and proposed mitigations, with evidence you can check. Inspired by Trim Reaper and Dread Ledger. Clone once, then link the threat-model skill into your agent. Check for an existing installation before running these commands. These commands use a local macOS or Linux shell. Keep the clone where it is, since the skill links to its prompts, and avoid duplicate installations. Start a new agent session when you're done. Installation details: Codex and Claude Code. For any other agent, add the project snippet to your project's…
Read the full README ↗ · Preview checked 2026-10-31T12:54:26.050Z
Inside the original README — Document outline
- Install
- Run it
- Review the results
- Use with any agent
- Architectures
- Methods
- Helpers
- Contributing
- About the author
- License
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What this repository does
Threat modeling for AI coding agents: point Claude Code, Codex or any agent at your repo and get an evidence-traced threat model. 36 architectures, 29 methods, MIT.
Repository facts
- Owner
- jmanico
- Primary language
- Not reported
- Stars
- 325
- Forks
- 27
- Open issues + pull requests
- 1
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-10-28T12:09:26.000Z
- Last push
- 2026-10-29T20:53:55.000Z
Topics and intended use
Owner-supplied topics: ai-agents, appsec, claude-code, codex, linddun, llm, pasta, prompt-engineering, security, stride, threat-modeling
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Source and freshness
Source: GitHub. Metadata observed 2026-11-01T12:17:46.653Z. Daily imports are snapshots, not real-time monitoring.
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