Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/netmindai-open/narranexus/circuit_breaker.pygit clone --depth 1 https://github.com/NetMindAI-Open/NarraNexusWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/netmindai-open/narranexus/circuit_breaker.py)<a href="https://agentmods.dev/agents/netmindai-open/narranexus/circuit_breaker.py"><img src="https://agentmods.dev/badge/agents/netmindai-open/narranexus/circuit_breaker.py.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00303 |
| Opus 5 | $0.00000 | $0.00151 |
| Sonnet 5 | $0.00000 | $0.00061 |
| Haiku 4.5 | $0.00000 | $0.00030 |
Grade A, and why
circuit_breaker.py scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
agents/circuit_breaker.py — 熔断器状态查询 + 手动"恢复"路由
为什么存在
实时层熔断器会在换 key 后自动恢复；这个路由是手动恢复的另一半——owner 的"Resume"
按钮。两个端点：GET /{agent_id}/circuit-breaker（查状态，无行则合成 active）、
POST /{agent_id}/circuit-breaker/reset（清 PAUSE 回 active，幂等）。
上下游关系
挂在 /api/agents 聚合路由下（agents.py include_router）。GET 读
AgentCircuitBreakerRepository；reset 调 agent_circuit_breaker.reset_agent。前端
api.getAgentCircuitBreaker / resetAgentCircuitBreaker 消费，App.tsx 的熔断横幅
"Resume agent" 按钮触发 reset。
设计决策
按 viewer 租户隔离，完全照搬 agents/bus_failures.py：viewer_id 只从 session 取
（?user_id= 直接 400 拒绝），非 owner 一律 404（同时掩盖"无此 agent"与"不是你的"）。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 25 lines · 0 tokens per session scan A b75201ec8b15
circuit_breaker.py is an agent published in the GitHub repository NetMindAI-Open/NarraNexus (86 stars, last pushed 3d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 303 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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