convertible-bond-candlesticks-batch

convertible-bond-candlesticks-batch is a skill for Claude Code, Codex from FTShare-Lab/FTShare-skill. It costs 105 tokens per session (1,139 once invoked), scanned A, original, MIT.

Batch historical price charts for several convertible bonds. A convertible bond is a company bond that may be exchanged for shares; the data can use minute, daily, weekly, monthly or yearly intervals.

In plain words
What is it for?
Use it to compare several convertible bonds, retrieve their K-line data for analysis, or collect intraday and longer-term price history.
Why use it?
It removes the need to request each bond's chart separately. It also lets you choose a time range, interval size and whether prices are adjusted for past corporate actions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to compare several convertible bonds, retrieve their K-line data for analysis, or collect intraday and longer-term price history.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ftshare-lab/ftshare-skill/convertible-bond-candlesticks-batch
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 FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Clone the repo
git clone --depth 1 https://github.com/FTShare-Lab/FTShare-skill

Made for: Claude Code, Codex.

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 convertible-bond-candlesticks-batch

README.md
[![agentmods](https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/convertible-bond-candlesticks-batch/github.svg)](https://agentmods.dev/skills/ftshare-lab/ftshare-skill/convertible-bond-candlesticks-batch)
Your own site
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/convertible-bond-candlesticks-batch"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/convertible-bond-candlesticks-batch/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 convertible-bond-candlesticks-batch

Your own site · 80×15
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/convertible-bond-candlesticks-batch"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/convertible-bond-candlesticks-batch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,139 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00105 $0.01139
Opus 5 $0.00053 $0.00570
Sonnet 5 $0.00021 $0.00228
Haiku 4.5 $0.00011 $0.00114

Measured 9d ago against content hash 211484b1fcc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

convertible-bond-candlesticks-batch 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/handler.py, scripts/test_handler.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ftshare-market-data/sub-skills/convertible-bond-candlesticks-batch/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

批量可转债 K 线 - 批量查询多只可转债 K 线(convertible-bond-candlesticks/batch)

1. 接口描述

项目 说明
接口名称 批量查询多只可转债 K 线
外部接口 POST /api/v1/market/data/convertible-bond-candlesticks/batch
请求方式 POST(JSON body)
适用场景 一次拉取多只可转债的分/日/周/月/年 K 线。响应为嵌套数组 [[symbol, K线数组], ...]。仅接受可转债标的,任一 symbol 非可转债时整体返回系统错误

2. 请求参数

参数名 类型 是否必填 描述 取值示例 备注
symbols string[] 可转债代码列表 113027.SH,123001.SZ 逗号分隔;响应统一规范化为长后缀
interval_unit string 周期单位 Day Minute/Day/Week/Month/Year
interval_value int 间隔数值 1 默认 1;Minute+5 表示 5 分钟 K 线
adjust_kind string 复权类型 Forward None(默认)/Forward(前复权)/Backward(后复权)
since_ts_millis int 开始时间戳(毫秒) 1756700000000 分钟 K 线与 until 跨度 ≤3 天
until_ts_millis int 结束时间戳(毫秒) 1756791000000 -
limit int 每个标的返回条数上限 2 未传 since 和 limit 时每个标的默认最多返回 50 根

3. 响应说明

响应为二元数组列表,每项结构为 [symbol, K线数组]

字段名 类型 说明
[0] string 可转债代码;响应统一使用长市场后缀
[1] array 该标的的 K 线数组,字段同单只接口

K 线单根字段同 convertible-bond-candlesticks:open / high / low / close / ts_millis / ts_millis_open / turnover / volume。

4. 调用方式

python <RUN_PY> convertible-bond-candlesticks-batch --symbols 113027.SH,123001.SZ --interval-unit Day --until-ts-millis 1756791000000 --limit 2
python <RUN_PY> convertible-bond-candlesticks-batch --symbols 113027.SH,113028.SH --interval-unit Week --adjust-kind Forward --until-ts-millis 1756791000000 --limit 4

<RUN_PY> 为主 SKILL.md 同级 run.py 的绝对路径。输出 JSON,请求头已内置 X-Client-Name: ft-claw

5. 注意事项

  • symbolsinterval_unituntil_ts_millis 必填。
  • symbols 用逗号分隔;任一非可转债标的当前外部接口返回系统错误,不静默过滤。
  • 响应中的 symbol 会规范化为长市场后缀(.XSHG/.XSHE)。
  • 分钟 K 线(interval_unit=Minute)的 since/until 跨度硬限制 ≤3 天。
  • interval_value 仅在 interval_unit=Minute 时生效:不传或传 1 为 1 分钟 K,传 5/15/30/60/120 为对应多分钟 K;其他周期忽略该字段。
  • 多分钟 K 按北京时间的每个交易日分别聚合,不跨交易日;以 5 分钟 K 为例,首根为 09:30—09:35,开高低收取区间首根开盘价、最高价、最低价、末根收盘价,成交量和成交额按区间求和。
  • 默认不复权(None),Forward 前复权、Backward 后复权。
  • 价格字段 JSON 中为字符串以避免精度丢失。

Read the full file on GitHub · 59 lines

Files

What ships with it

2 files 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. 9d ago First seen · 59 lines · 105 tokens per session scan A 211484b1fcc8

Subscribe to this mod's changes

convertible-bond-candlesticks-batch is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 105 tokens to every session and 1,139 once invoked, about $0.0005 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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