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 skills add selvarajmurugesan90/ops-engineering-skills --skill agent-tool-call-loop-diagnosis-and-circuit-breakinggit clone --depth 1 https://github.com/selvarajmurugesan90/ops-engineering-skillsWrote 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/skills/selvarajmurugesan90/ops-engineering-skills/agent-tool-call-loop-diagnosis-and-circuit-breaking)<a href="https://agentmods.dev/skills/selvarajmurugesan90/ops-engineering-skills/agent-tool-call-loop-diagnosis-and-circuit-breaking"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/agent-tool-call-loop-diagnosis-and-circuit-breaking/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/selvarajmurugesan90/ops-engineering-skills/agent-tool-call-loop-diagnosis-and-circuit-breaking"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/agent-tool-call-loop-diagnosis-and-circuit-breaking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00118 | $0.04055 |
| Opus 5 | $0.00059 | $0.02027 |
| Sonnet 5 | $0.00024 | $0.00811 |
| Haiku 4.5 | $0.00012 | $0.00405 |
Grade A, and why
agent-tool-call-loop-diagnosis-and-circuit-breaking 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Tool Call Loop Diagnosis and Circuit Breaking
Purpose
A runaway tool-call loop — an agent calling the same tool repeatedly, or oscillating between two or three calls, without making progress — is one of the most common and most expensive agent failure modes in production: it burns tokens and API quota, can hammer a downstream system, and often goes unnoticed until a bill or a rate-limit alert fires. Preventing loops at design time (a hard iteration cap, stall detection in the dispatcher) is covered in agent-architecture-design and agent-tool-use-patterns; this skill is the operational companion — what to do when a loop is actually happening or has already happened: how to confirm it's really a loop and not a legitimate long-running task, how to stop an in-flight session safely, how to root-cause the trigger, and how to design a bounded retry with a hard ceiling rather than the reflexive, unsafe fix of just raising the existing limit. Raising a limit without addressing the cause doesn't stop the loop — it makes the loop more expensive before it stops.
When to use
- A cost or latency alert traces back to one agent session or one workflow making an unusually high number of tool calls (see agent-cost-and-latency-spike-investigation for the broader spike-triage process this often feeds into).
- An agent session is actively stuck and needs to be stopped safely without corrupting in-flight state.
- The transcript shows the same (or near-identical) tool call repeated many times with no new information between calls.
- Someone proposes "just raise
MAX_ITERATIONS" or "just increase the retry count" as the fix, and you need to evaluate whether that's masking the real problem. - Designing or auditing a circuit-breaker/retry policy for a tool-calling agent before it's given broader autonomy or higher-volume traffic.
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.
- 12d ago First seen · 317 lines · 118 tokens per session scan A ebdd6940c5df
agent-tool-call-loop-diagnosis-and-circuit-breaking is a skill published in the GitHub repository selvarajmurugesan90/ops-engineering-skills (39 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 118 tokens to every session and 4,055 once invoked, about $0.0006 per session on Opus 5. 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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