diff --git a/pipeline/test_loop_engineering_meta_prompt.py b/pipeline/test_loop_engineering_meta_prompt.py index 95f2751..7ac9c21 100644 --- a/pipeline/test_loop_engineering_meta_prompt.py +++ b/pipeline/test_loop_engineering_meta_prompt.py @@ -23,6 +23,12 @@ def test_loop_engineering_meta_prompt_locks_safety_fields(): "Team manages agents", "vault/proxy credential injection", "YouTube `hLUGXO5DSpo`", + "External research anchors", + "NVIDIA Secure Agent Workspace", + "Infisical Agent Vault", + "Anthropic agent evals", + "OWASP AI Agent Security Cheat Sheet", + "signed-action-only", "Model Workspace Protocol", "00-intake/", "40-ship/", diff --git a/plans/meta-prompts/loop_engineering.md b/plans/meta-prompts/loop_engineering.md index 2b975c8..135bd16 100644 --- a/plans/meta-prompts/loop_engineering.md +++ b/plans/meta-prompts/loop_engineering.md @@ -85,6 +85,19 @@ Every autonomous work-agent plan must include: Reference: Latent Space, "The Blueprint for Autonomous Work Agents" with Gavriel Cohen / NanoClaw (YouTube `hLUGXO5DSpo`). +## External research anchors + +Ground agent plans against external production guidance, not just video notes: + +- NVIDIA Secure Agent Workspace: always-on agents need a managed workspace with credential proxy, enterprise tool access, governance, and runtime controls. +- Infisical Agent Vault: secrets stay in the vault and requests receive credentials through a proxy; agents must not hold raw secrets. +- Anthropic agent evals: judge trajectories and environment outcomes, not just final answers. +- OWASP AI Agent Security Cheat Sheet: treat prompt injection, memory poisoning, tool abuse, sandboxing, and access control as first-class risks. + +These anchors support TAC's local rule: deploy remains signed-action-only through `git-proxy:8099/deploy`; do not reintroduce raw command deploy paths. + +References: NVIDIA Secure Agent Workspace (`docs.nvidia.com/enterprise-reference-architectures/secure-agent-workspace-reference-design`), Infisical Agent Vault (`infisical.com/blog/agent-vault-the-open-source-credential-proxy-and-vault-for-agents`), Anthropic "Demystifying evals for AI agents" (`anthropic.com/engineering/demystifying-evals-for-ai-agents`), OWASP AI Agent Security Cheat Sheet (`cheatsheetseries.owasp.org/cheatsheets/AI_Agent_Security_Cheat_Sheet.html`). + ## Model Workspace Protocol note For sequential workflows with human review between stages, prefer folder-structured orchestration before multi-agent framework code. The Model Workspace Protocol pattern treats numbered folders as stages, markdown files as role/context carriers, and local scripts as the boring mechanical layer.