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A Share Dark Pool · aifinlab | DecimalAI

financeby aifinlab

A Share Dark Pool

aifinlab/a-share-dark-pool

Source aifinlab/finclaw ↗License Apache-2.0

A股暗池/大宗交易策略。当用户说"暗池"、"dark pool"、"大宗交易"、"大宗减持"、"盘后大宗"、"协议转让"、"大宗折价"时触发。基于 cn-stock-data 获取数据，分析大宗交易机会与策略。支持 formal/brief 两种输出风格。

SkillScore65Maintained

Automatic

Finance & Accounting pack

Last verified 8/27/2026

What it changes

Passed 14 of 21 test cases with the skill, and 13 of 21 without it.

Without skill61%

With skill65%

Checks it passed that the model alone missed

Includes section header "## 二、信号解读"
Includes section header "## 三、策略建议"
Includes section header "## 一、大宗交易概览"

and 1 more in the full report

2 fixed13 passed either way7 still failing1 broke

Pass-rate lift: +4 pp
Tokens: +17%
Agent turns: 0%
Response time: +2%

Model gemini-3.6-flashMeasured 8/27/2026v115 of 23 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/aifinlab-a-share-dark-pool/SKILL.md https://app.decimal.ai/s/aifinlab-a-share-dark-pool/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add aifinlab-a-share-dark-pool, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/aifinlab-a-share-dark-pool/ and pins it in .decimal/skills.lock

decimalai skills add aifinlab-a-share-dark-pool

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/aifinlab-a-share-dark-pool/SKILL.md https://app.decimal.ai/s/aifinlab-a-share-dark-pool/SKILL.md

Raw file: /s/aifinlab-a-share-dark-pool/SKILL.md ↗ · machine-readable summary at /s/aifinlab-a-share-dark-pool.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 2

Prompt

在大宗交易与暗池分析的前置数据准备工作中，分析工具需要从外部获取哪三大类关键数据？

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies block trade data including price and volume	Passed	Passed
Identifies daily stock data including closing price	Passed	Passed
Identifies shareholder data including lock-up expiration announcements	Missed	Passed

case-18 · gemini-3.6-flash · 8/27/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md84 lines2 files

暗池/大宗交易策略助手

数据获取

通过 cn-stock-data skill 获取数据：

大宗交易数据: 成交价/量/买卖方营业部
日线数据: 收盘价/成交量
股东数据: 减持公告/限售解禁

分析工作流

Step 1: 大宗交易分析

大宗成交价 vs 收盘价的折溢价率
大宗成交量占日成交量的比例
买卖方营业部识别：机构/游资/产业资本
连续大宗交易的累计规模与方向

Step 2: 折价信号解读

折价<5%：正常减持，影响有限
折价5-10%：较大抛压，短期承压
折价>10%：可能存在特殊原因(质押/纠纷)
溢价大宗：机构抢筹信号，偏正面

Step 3: 大宗交易策略

接盘策略：折价接大宗，等待价格回归
信号策略：大宗方向作为多空信号
减持预判：限售解禁前的大宗交易预期
配对策略：大宗卖出+二级市场买入的时间差套利

Step 4: 风险管理

锁定期风险：部分大宗有6个月锁定期
信息不对称：卖方可能掌握负面信息
流动性风险：大宗接盘后的退出难度
合规风险：内幕交易/利益输送的合规审查

Step 5: 输出报告

输出格式

formal 风格（研报级）

Track record

Benchmark

14 / 21

test cases passed, vs 13 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

aifinlab / finclaw

skills/a-share-dark-pool/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1Bundled 1 file

More skills from the same source and nearby in the registry, with their headline benchmark lift.