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 VictorZhang01/chat-across --skill chat-acrossgit clone --depth 1 https://github.com/VictorZhang01/chat-acrossWrote 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/victorzhang01/chat-across/chat-across)<a href="https://agentmods.dev/skills/victorzhang01/chat-across/chat-across"><img src="https://agentmods.dev/badge/skills/victorzhang01/chat-across/chat-across/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/victorzhang01/chat-across/chat-across"><img src="https://agentmods.dev/badge/skills/victorzhang01/chat-across/chat-across.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 | $0.00048 | $0.00720 |
| Opus 5.5 | $0.00019 | $0.00288 |
| Sonnet 5.5 | $0.00010 | $0.00144 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
chat-across 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 1mo 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
Chat Across 环境锚定 + 自动同步
调用 MCP 工具:chat-across 服务器的 chat_across_connect,参数:
-
title= 用户消息里本技能名之后跟的文本(环境名,如myproject); -
sessionUuid= 本会话的唯一身份号(如果你知道自己的 conversation/session UUID 就传; 不知道就省略,桥会按最新活跃文件推断)。这是桥定位本会话原生 transcript 用的。 -
created: true→ 告知「环境已创建,本会话为第一个锚定者」; -
created: false→ 告知「已加入既有环境」; -
用户没给环境名 → 提示用法
$chat-across <环境名>,不要调用工具。
锚定成功后立即自动双向同步,不要询问用户:
- 推:把本会话到目前为止的工作 compact 成一份简报(目标 / 已完成 / 关键决定 /
进行中 / 下一步 / 涉及文件),调
chat_across_sync,brief= 该简报。 还没有实质工作就写一行「刚接入,暂无进展」。 - 拉:connect / sync 返回的
peers是其他会话各自最新的简报——按会话 UUID 区分, 同厂商多个会话都分别列出。向用户用一两句话汇报每个 peer 在做什么(带 hostKind, 同厂商多会话时用 sessionUuid 指代);peers为空说明当前只有本会话。
接手某个 peer 的活时(用户要求继续/修改对方做的东西),三直读按需组合(传
hostKind = 对方厂商;同厂商多会话时改传目标 sessionUuid 精确定位):get_peer_tail(原生对话最近 10 条,精确接点;behindBytes
大就加大 count,上限 50)、get_peer_memory(对方原生记忆库,沉淀的坑与决定)、
get_peer_instructions(对方项目根 CLAUDE.md/AGENTS.md,项目规矩)。与简报拼合后再动手。
之后每完成一个重要节点(修完 bug、交付功能、关键决定),主动调 chat_across_sync
刷新简报,无需请示。用户说「同步」或 $chat-across-sync 时同样执行。
解除锚定用 $chat-across-disconnect。
环境管理:用户问「有哪些环境」→ list_environments(带厂商/会话数/最后活跃);
用户说「删除环境 XX」→ chat_across_delete(title=XX)——只清桥上簿记,不动任何人的
对话与文件,名字释放后同名重建即全新环境。
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.
- 1mo ago First seen · 38 lines · 48 tokens per session scan A bf1511e44b29
chat-across is a skill published in the GitHub repository VictorZhang01/chat-across (0 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 720 once invoked, about $0.0002 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 2026-08-31.
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