About this skill
Defending an LLM agent against adversarial input — prompt injection, jailbreak attempts, ambiguous edge cases, and malformed model output — as an explicit design phase rather than a bug-fixing afterthought. Use when building any agent that processes untrusted or user-supplied input, when a challenge dataset is described as containing edge cases or injection attempts, or when reviewing an agent for failure modes before submission.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
1 potential finding · Scanned 11/4/2026 · Scanner 0.2.1
- high: instruction override — SKILL.md, line 19
Content SHA-256: a873486a5f5310428ca11d0dc1451bb0185f1eff25ea3fa28975fe0a0cc310fe
About this listing
- Category
- General
- Reported license
- Not specified
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.