team-research

team-research is a skill for Claude Code from ketor/cto-fleet. It costs 103 tokens per session (6,758 once invoked), scanned B, original, Apache-2.0.

A structured research workflow using two researchers, an analyst, a critic, and a writer. It investigates a topic in exploration and deeper follow-up rounds before producing a report.

In plain words
What is it for?
Use it to research a defined topic and produce quick, standard, or deep structured reports in Chinese or English.
Why use it?
It reduces reliance on a single search or interpretation. The critic checks the combined findings and flags conclusions that need correction.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; names the AskUserQuestion tool.

Good fit Use it to research a defined topic and produce quick, standard, or deep structured reports in Chinese or English.

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Install with agentmods
npx agentmods add skills/ketor/cto-fleet/team-research
Install

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.

Any agent
npx skills add ketor/cto-fleet --skill team-research
Clone the repo
git clone --depth 1 https://github.com/ketor/cto-fleet

Made for: Claude Code.

Wrote 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.

agentmods badge for team-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/ketor/cto-fleet/team-research.svg)](https://agentmods.dev/skills/ketor/cto-fleet/team-research)
Your own site
<a href="https://agentmods.dev/skills/ketor/cto-fleet/team-research"><img src="https://agentmods.dev/badge/skills/ketor/cto-fleet/team-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,758 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.06758
Opus 5 $0.00051 $0.03379
Sonnet 5 $0.00021 $0.01352
Haiku 4.5 $0.00010 $0.00676

Measured 8d ago against content hash 5260ffdcc9bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade B, and why

team-research scanned grade B with 1 finding 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 8d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- 目录路径:`/tmp/{team-name}/`(team lead 在 TeamCreate 后执行 `mkdir -p /tmp/{team-name} && chmod 700 /tmp/{team-name}`)
team-research/SKILL.md · 537 lines

How it starts

The opening of the file, as written. The whole thing — 537 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble (run first)

_UPD=$(~/.claude/skills/cto-fleet/bin/cto-fleet-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true

If output shows UPGRADE_AVAILABLE <old> <new>: read ~/.claude/skills/cto-fleet/cto-fleet-upgrade/SKILL.md and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If JUST_UPGRADED <from> <to>: tell user "Running cto-fleet v{to} (just updated!)" and continue.

参数解析:从 $ARGUMENTS 中检测以下标志:

  • --auto:完全自主模式(不询问用户任何问题,全程自动决策)
  • --once:单轮确认模式(将所有需要确认的问题合并为一轮提问,确认后全程自动执行)
  • --depth=quick|standard|deep:调研深度(默认 standard
  • --lang=zh|en:报告语言(默认 zh 中文)
模式 用户确认范围 条件节点处理
标准模式(默认) 主题确认 + 中间检查点 + 分歧仲裁 + 最终报告确认 正常询问用户
单轮确认模式--once 仅最终报告确认 自动决策 + 收尾汇总
完全自主模式--auto 不询问用户 全部自动决策,收尾汇总所有决策

单轮确认模式下条件节点自动决策规则:

  • 主题范围不确定 → team lead 自行界定范围,在最终报告中说明
  • 两位 researcher 分歧 → analyst 标注分歧,team lead 综合论证后裁决,收尾时汇总
  • 分歧超过 50%不可跳过,必须暂停问用户(熔断机制)
  • 两位 researcher 均报告"网络信息不足"不可跳过,必须暂停问用户调整主题/关键词(熔断机制)
  • critic 发现 ≥ 3 个核心结论需修正不可跳过,必须暂停问用户(熔断机制,单轮确认模式和完全自主模式均适用)

完全自主模式下:所有节点均自动决策,不询问用户。熔断机制仍然生效——触发熔断条件时是唯一会暂停询问用户的情况。

调研深度说明:

深度 调研范围 调研轮次
quick 快速概览,仅搜索网络热门结果,本地文档粗扫 仅第一轮,跳过第二轮和对抗验证
standard 多轮搜索 + 本地文档细读,交叉验证信息 两轮调研 + 对抗验证
deep 全面调研,额外包括学术文献、竞品对比、趋势预测 两轮调研 + 对抗验证

使用 TeamCreate 创建 team(名称格式 team-research-{YYYYMMDD-HHmmss},如 team-research-20260308-143022,避免多次调用冲突),你作为 team lead 按以下流程协调。

文件交接规范(File-Based Handoff)

所有 agent 间传递详细报告时,必须采用文件交接模式(防止上下文溢出触发 20MB 限制):

  1. 写入文件:将完整报告写入团队工作目录:
    • 目录路径:/tmp/{team-name}/(team lead 在 TeamCreate 后执行 mkdir -p /tmp/{team-name} && chmod 700 /tmp/{team-name}
    • 单个文件 ≤ 2000 行;超大报告拆分为 summary + details 文件
  2. 发送引用:通过 SendMessage 仅发送(≤500 字符):
    • 文件路径(1 行)
    • 关键摘要(含核心指标/发现/评分)
  3. 按需读取:接收方使用 Read 按需读取文件,发送方不内联完整内容
  4. 路径转发:team lead 转发报告时只转发文件路径 + 摘要,不 Read 后再 SendMessage
  5. 遵从校验:team lead 收到超 1000 字符且不含 /tmp/team- 路径前缀的消息时,要求 agent 以文件交接模式重发

Read the full file on GitHub · 537 lines

Changes

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.

  1. 8d ago First seen · 537 lines · 0 tokens per session scan B 5260ffdcc9bf

Subscribe to this mod's changes

team-research is a skill published in the GitHub repository ketor/cto-fleet (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 103 tokens to every session and 6,758 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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