a-share-research-red-team

a-share-research-red-team is a skill for Claude Code from cyijun/china-financial-services. It costs 82 tokens per session (571 once invoked), scanned A, original, Apache-2.0.

A red-team review workflow for research on Chinese A-share companies, which are stocks listed on mainland Chinese exchanges. It challenges conclusions using evidence audits, bias checks, failure scenarios, and alternative explanations.

In plain words
What is it for?
Use it to freeze a research snapshot, audit data sources, examine biases, build failure-path matrices, compare competing explanations, and identify the smallest additional evidence needed.
Why use it?
It helps expose weak data, hidden assumptions, future-data leakage, and conclusions that cannot be tested or disproved.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the china-market-researcher plugin — 17 skills, 1 agent shipped together

Good fit Use it to freeze a research snapshot, audit data sources, examine biases, build failure-path matrices, compare competing explanations, and identify the smallest additional evidence needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cyijun/china-financial-services/a-share-research-red-team
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 cyijun/china-financial-services --skill a-share-research-red-team
Clone the repo
git clone --depth 1 https://github.com/cyijun/china-financial-services

Made for: Claude Code.

Or install china-market-researcher, the plugin that ships this one along with the rest of its 17 skills, 1 agent.

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 a-share-research-red-team

README.md
[![agentmods](https://agentmods.dev/badge/skills/cyijun/china-financial-services/a-share-research-red-team/github.svg)](https://agentmods.dev/skills/cyijun/china-financial-services/a-share-research-red-team)
Your own site
<a href="https://agentmods.dev/skills/cyijun/china-financial-services/a-share-research-red-team"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/a-share-research-red-team/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.

agentmods 80×15 button for a-share-research-red-team

Your own site · 80×15
<a href="https://agentmods.dev/skills/cyijun/china-financial-services/a-share-research-red-team"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/a-share-research-red-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 571 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00082 $0.00571
Opus 5 $0.00041 $0.00285
Sonnet 5 $0.00016 $0.00114
Haiku 4.5 $0.00008 $0.00057

Measured 12d ago against content hash c556580864bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

a-share-research-red-team 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.

plugins/china-market-researcher/skills/a-share-research-red-team/SKILL.md · 33 lines

What it actually says

A股研究红队

工作流

  1. 冻结研究问题、as_of、证据包、核心结论、关键假设和估值版本;不得先改写证据适配反方。
  2. 记录审阅上下文:同一Agent/同一对话只能称structured challenge;分离上下文、未见原推理链且可独立取证时才称independent review
  3. 审计china-market-data元信息,检查是否发生不安全降级、未来行泄漏、当前成员回填或数据源口径混合。
  4. 检查龙头、语言、叙事、确认、近因、幸存者和权威偏差。
  5. 把核心结论改写成可证伪句子;无法证伪本身就是缺陷。
  6. 从需求、供给/竞争、产能、资产负债表、政策、治理、会计、技术替代和价格隐含预期构造失败路径。
  7. 每条路径记录因果链、已有证据、反证、触发器、时间尺度、影响和区分证据。未知不能填成低概率。
  8. 构造能与原结论竞争的最强替代解释,并指出最小判别数据。
  9. 输出原论点最强部分、最强反方、未知、需降级结论和下一步取证。

硬约束

  • 不为形式平衡制造无机制的反方。
  • 不引用“大师会怎么做”作为结论,不做框架投票。
  • 不给失败路径主观精确概率。
  • 区分永久损失、暂时波动、估值压缩和论点推翻。
  • 只分析,不给交易或仓位动作。

输出契约

输出冻结快照、数据链审计、偏差检查、失败路径矩阵、最强替代解释、框架适用性、应保留/降级部分、未知和最小新增取证计划。

需要挑战卡时读取references/red-team-cards.md

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 33 lines · 82 tokens per session scan A c556580864bc

Subscribe to this mod's changes

a-share-research-red-team is a skill published in the GitHub repository cyijun/china-financial-services (19 stars, last pushed 18d ago), licensed Apache-2.0. It adds 82 tokens to every session and 571 once invoked, about $0.0004 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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