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 skills/tzz123-hub/devwhale/loop-budgetnpx skills add tzz123-hub/DevWhale --skill loop-budgetgit clone --depth 1 https://github.com/tzz123-hub/DevWhaleWrote 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/tzz123-hub/devwhale/loop-budget)<a href="https://agentmods.dev/skills/tzz123-hub/devwhale/loop-budget"><img src="https://agentmods.dev/badge/skills/tzz123-hub/devwhale/loop-budget.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 | $0.00033 | $0.00398 |
| Opus 5 | $0.00016 | $0.00199 |
| Sonnet 5 | $0.00007 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
loop-budget 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
Loop Budget Guard（循环预算守卫）
在每次循环迭代的开始和结束时运行。
运行开始
- 读取
loop-budget.md获取每日上限和 kill-switch 标志。 - 读取
loop-run-log.md最近 24 小时的条目。 - 汇总当日该模式的
tokens_estimate。 - 如果花费 ≥ 模式每日上限的 80% → 仅报告模式（禁止子代理、禁止自动修复）。
- 如果花费 ≥ 100% 或
loop-pause-all已设置 → 立即退出，在 STATE.md 中写一行说明。 - 如果观察列表/状态中无可操作项 → 在 <5k token 内退出（不创建子代理）。
运行结束
向 loop-run-log.md 追加一条 JSON 对象：
{
"run_id": "<ISO8601>",
"pattern": "<pattern-id>",
"duration_s": <number>,
"items_found": <number>,
"actions_taken": <number>,
"escalations": <number>,
"tokens_estimate": <number>,
"outcome": "no-op | report-only | fix-proposed | escalated"
}
规则
- 绝不超出
loop-budget.md中max sub-agent spawns/run的限制。 - 高频模式（CI Sweeper、PR Babysitter）必须在无待办时提前退出。
- 自我节流时，在
loop-budget.md的 Alerts This Period 下追加一行。
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 · 41 lines · 33 tokens per session scan A 9afa1314c99f
loop-budget is a skill published in the GitHub repository tzz123-hub/DevWhale (10 stars, last pushed 2mo ago), licensed MIT. It adds 33 tokens to every session and 398 once invoked, about $0.0002 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 2026-08-31.
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