七代理 Grok Bot 集群审计出 99% 空跑任务

Nyxera @Nyxera0x原推发布于 2026.10.14

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THIS GROK BOT SWARM CAUGHT AN AGENT WASTING 99% OF ITS SCHEDULED RUNS and the fix had nothing to do with a smarter model. 7 agents handle X, email, CI, deployments, documents and routine audits. each has its own schedule, but one keeps waking up just to report NO_CHANGE. [the audit catches what the scheduler misses] → SCOUT checks for new activity → QUANT filters out unchanged inputs → EXEC runs only when there's actual work → RISK stops actions that need approval → SCRIBE records what happened → AUDIT finds schedules wasting tokens then the audit finds the actual problem. one routine returns NO_CHANGE 99% of the time. the system recommends moving it to daily checks instead of running the same job over and over. the simulated cost model: → frequent full runs: $397/month → cheap checks + selective execution: $45/month → 89% lower estimated API spending → risky actions stay behind human approval no magic prompt. no extra model. just fewer pointless executions. [try this with your Grok Bot] "Review my existing routines and find wasted executions. 1. List every routine, schedule and trigger. 2. Calculate how often each run finds no changes. 3. Flag routines with a NO_CHANGE rate above 95%. 4. Recommend slower schedules or event triggers where appropriate. 5. Estimate the monthly cost before and after. 6. Keep risky actions behind human approval. Return an audit report with evidence and proposed changes. Do not modify anything until I approve." the numbers in the video are simulated, but the audit pattern is something you can apply to your own setup. i'd rather have 7 agents that question their schedules than 70 that never question a single run.

这条是引用着另一条写的：x.com/gippp69/status/2109235458383216811