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 Stahl-G/briefloop --skill multi-searchgit clone --depth 1 https://github.com/Stahl-G/briefloopWrote 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/stahl-g/briefloop/multi-search)<a href="https://agentmods.dev/skills/stahl-g/briefloop/multi-search"><img src="https://agentmods.dev/badge/skills/stahl-g/briefloop/multi-search/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/stahl-g/briefloop/multi-search"><img src="https://agentmods.dev/badge/skills/stahl-g/briefloop/multi-search.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00021 | $0.00576 |
| Opus 5.5 | $0.00008 | $0.00230 |
| Sonnet 5.5 | $0.00004 | $0.00115 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
multi-search 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 6d 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
多渠道来源检索
读取下方的本轮冻结策略，优先首选，必要时使用已启用补充渠道。完整调用由 {tool} 提供，本轮 ID 是 {run_id}。
根据任务的研究策略选择下一步；缺少线索时可用互补查询发现事件，已有线索则按主体、当地语言与一手发布聚焦；补查重要缺口，材料充分即可交接。覆盖对照用于检查单一渠道可能漏掉的地区和观点，不给每条查询机械地同时调用所有渠道。
受控渠道统一用 web-search，可传 --provider、--purpose、--reason、--gap-id、--query、--topic general|news、--time-range day|week|month|year、--start-date、--end-date、--include-domain、--exclude-domain、--max-results、--search-depth basic|advanced。博查为网页搜索，不提供独立news/depth模式；工具返回有效映射。不得读取API密钥或手写网络请求绕过记录。
候选 URL 先用 {tool} add-url --run {run_id} --url "URL" 获取原文。Tavily 在允许渠道内时才可对失败页面用 tavily-extract；提取响应不是网站原始字节。HTTP成功、source_id、搜索分数都不是事实证明。摘要和挑战页不算正文。
失败按原因处理：限流尊重retry-after，预算内有限重试；过滤过窄可改关键词/日期/域名；取证失败可查其他公开发布路径。认证或余额错误保留实际状态，已允许替代渠道可继续，不通过换源突破预算或访问权限。公众号、小红书只有链接/摘要时保留具体缺口或请求用户提供材料，不宣称已读全文。
所有Scout共用硬预算；受控search失败也计次，跨渠道同URL与正文复用既有缓存。原生搜索调用数无法可靠观测时为未知，不能加进“全部可控”计数。budget_exhausted时停止受控新增请求并交接，不能绕到其他渠道耗用同一个已耗尽额度。
交接：真实 source_id、指向所在行/页的 locator、原文逐字的 excerpt、重要事实/冲突、覆盖缺口和实际发现渠道；证据足够就停止，不因剩余额度继续堆转载。不改写原件、不安排递归generate。独立Reviewer只读取已保存材料。
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.
- 6d ago Changed 0c144206de1f
- 23d ago Changed 270cbe4c0dfa
- 1mo ago First seen · 21 lines · 21 tokens per session scan A 2184b620e0ef
multi-search is a skill published in the GitHub repository Stahl-G/briefloop (9 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 576 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-14.
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