FIELD NOTE / X
Agents should inherit standards, not guess them.
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The written argument is here.
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Agents should inherit standards, not guess them.
Video caption
Agents should inherit standards, not guess them. Support and failure behavior differ by runtime. Prove the boundary before scaling agents. #EricFieldNotes
Full written post / accessibility read
Give ten coding agents the same architecture note and they may all read it. That still does not prove the next shell command, database write or deployment obeyed it. Team standards become reliable when the actual runtime can deny an unsafe call and CI can test the resulting artifact.
Cursor documents pre-tool and post-tool hooks, but also says some hook failures proceed by default and cloud coverage differs from local. A policy that depends on one hook must be tested in the exact agent, runtime and tool path used by the team.
For a dangerous action, write a small Python or shell guard that parses the actual tool request and returns a documented deny result. Run a harmless canary that must be blocked. Remove the credential from agents that should never act. CI then checks the outcome outside the agent's worktree.
Record which host, agent version and tool path passed the deny test. Block rollout when a route can bypass it or the protected test did not run. Do this because a rule only becomes a control after a negative test shows it can stop a real action.
#EricFieldNotes
Four-beat scene transcript
1. Agents should inherit standards, not guess them.
Give ten coding agents the same architecture note and they may all read it. That still does not prove the next shell command, database write or deployment obeyed it. Team standards become reliable when the actual runtime can deny an unsafe call and CI can test the resulting artifact.
Visual: A markdown rule is a reminder, not an enforcement boundary.
2. A hook may miss the path you care about.
Cursor documents pre-tool and post-tool hooks, but also says some hook failures proceed by default and cloud coverage differs from local. A policy that depends on one hook must be tested in the exact agent, runtime and tool path used by the team.
Visual: Support and failure behavior differ by runtime.
3. Write the rule as a script and test.
For a dangerous action, write a small Python or shell guard that parses the actual tool request and returns a documented deny result. Run a harmless canary that must be blocked. Remove the credential from agents that should never act. CI then checks the outcome outside the agent's worktree.
Visual: Pre-call denial, scoped identity and protected CI.
4. Fail the standard if the canary passes.
Record which host, agent version and tool path passed the deny test. Block rollout when a route can bypass it or the protected test did not run. Do this because a rule only becomes a control after a negative test shows it can stop a real action.
Visual: Prove the boundary before scaling agents.
Research and claim limits
- Cursor hooks documentation (S04)
- OpenAI plugin architecture (S06)
- OpenAI Agents SDK/Codex orchestration example (S07)
The examples identified as illustrative or simulated are design probes, not reported incidents. Vendor specifications do not establish workload performance.