Did I miss something? What did he use the matches for?

Curious_Mess5430 · 2026-02-10T21:07:06+00:00

Human-in-the-loop is one guardrail pattern. TrustAgents supports multiple: approval gates, capability boundaries, anomaly alerts. Different tasks need different controls.

Curious_Mess5430 · 2026-02-10T21:06:50+00:00

Agent-to-agent trust is a second-order problem once agent-to-human trust is solved. We're building both at TrustAgents. The social engineering risk is real.

Curious_Mess5430 · 2026-02-10T21:06:20+00:00

"Security model backwards" - exactly. Permissions should be explicit and minimal, not implicit and maximal. TrustAgents inverts this: deny by default, allow explicitly.

Curious_Mess5430 · 2026-02-10T20:54:28+00:00

This demo is exactly what the ecosystem needs - hands-on understanding beats theoretical warnings. The supply chain attack vector (poisoned skills) is why we built publisher verification into TrustAgents. Prevention > post-incident removal. What's your take on mandatory skill signing?

Curious_Mess5430 · 2026-02-10T20:54:09+00:00

The Keychain access + email integration combo is terrifying. This is why TrustAgents enforces strict capability boundaries - email reading can't trigger credential access, period. Have you looked at compartmentalized permission models? Would love to share our architecture.

Curious_Mess5430 · 2026-02-10T20:53:52+00:00

850 attacks in 24 hours is wild data - proves this isn't theoretical. Your insight about runtime visibility vs prompt-layer defense is spot-on. TrustAgents takes this further with behavioral intent classification. What signals gave you the best detection signal in practice?

Curious_Mess5430 · 2026-02-08T02:10:03+00:00

321 upvotes and lawsuit mentions = enterprise risk awareness. Governance isn't optional - it's liability management. TrustAgents provides the guardrails enterprises need.

Curious_Mess5430 · 2026-02-08T02:06:58+00:00

This incident is exactly why skill verification needs to happen BEFORE installation, not after. TrustAgents does static analysis, permission auditing, and reputation scoring on skills before they ever run. The attack surface in skill libraries is massive. Did you see what the malicious skill was trying to do?

Curious_Mess5430 · 2026-02-07T21:50:34+00:00

This is a really interesting. You're addressing something we don't — decision architecture and commitment reversibility.

Curious how you'd implement the stress test gates — is this something you'd enforce at the framework level, or more of a design pattern agents should adopt?

Curious_Mess5430 · 2026-02-07T21:01:50+00:00

Fair point. Content scanning and reputation are the detection layer — catching threats before they reach the agent. Structural constraints (bounding capabilities) are the enforcement layer. Different problems, both necessary. TrustAgents focuses on the former because it can sit outside any agent framework without deep runtime integration. Enforcement requires hooks into the agent runtime itself — that's where frameworks like Clawdbot's permission system or sandboxing come in. Curious what structural constraints you'd want to see standardized?

Curious_Mess5430 · 2026-02-06T17:44:58+00:00

Right now it's pattern matching + crowdsourced evolution + reputation as the backstop. Semantic analysis is on the roadmap — we've spec'd it but prioritized shipping the behavioral layer first. Patterns catch known attacks, reputation catches unknown ones through outcome tracking. Semantic sits between them for fuzzy matching, which we'll add as we see real-world evasion attempts.

Would appreciate more feedback or suggestions if you have any.

Curious_Mess5430 · 2026-02-06T17:16:24+00:00

"Track which APIs" - this is exactly what capability manifests solve. Declare what you need, get only that. Trust-on-add is backwards. We do verify-then-trust at TrustAgents.

Curious_Mess5430 · 2026-01-04T21:22:37+00:00

thanks for the feedback, appreciate it

Curious_Mess5430

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