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 FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batchgit clone --depth 1 https://github.com/FTShare-Lab/FTShare-skillWrote 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/ftshare-lab/ftshare-skill/convertible-bond-candlesticks-batch)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00142 | $0.01418 |
| Opus 5.5 | $0.00057 | $0.00567 |
| Sonnet 5.5 | $0.00028 | $0.00284 |
| Haiku 4.5 | $0.00014 | $0.00142 |
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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
批量可转债历史K线
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 批量可转债历史K线（convertible_bond_candlesticks_batch） |
| 外部接口 | GET /api/v2/market/data/convertible-bond-candlesticks/batch |
| 请求方式 | GET（query 参数，symbols 使用逗号分隔） |
| 适用场景 | 一次批量获取 1～20 只可转债的历史日/周/月/年 K 线（开高低收、成交量、成交额），支持前复权/后复权/不复权 |
| 数据范围 | 以各标的实际历史行情覆盖为准；不含当日盘中实时行情 |
| 单次限量 | 每次 1～20 个标的；无分页；所有周期单次时间跨度不超过 12 个自然月 |
2. 请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| symbols | string | 是 | 可转债代码列表，逗号分隔传给 CLI | 113042.SH,123107.SZ | 1～20 只；也接受 .XSHG/.SH、.XSHE/.SZ；接口侧以逗号分隔发送，兼容旧的重复参数和 JSON 字符串数组格式 |
| interval_unit | string | 是 | 周期单位 | day | day/week/month/year（大小写不敏感）；不支持 minute |
| adjust_kind | string | 否 | 复权类型 | forward | none（默认，不复权）/forward（前复权）/backward（后复权） |
| since_ts_millis | int | 是 | 开始时间戳（毫秒） | 1786291200000 | 不得晚于 until_ts_millis |
| until_ts_millis | int | 是 | 结束时间戳（毫秒） | 1786377599999 | 与起始时间相差不超过 12 个自然月 |
| limit | int | 否 | 每个标的返回条数上限 | 1 | 省略时返回窗口内全部记录 |
3. 响应说明
外层固定为 code（成功 200）/ message（成功 success）/ data（失败时为 null）。data 为按请求顺序排列的非分页分组数组，每项结构为 {symbol, items, total}：
| 字段名 | 类型 | 说明 |
|---|---|---|
| symbol | string | 可转债代码，使用 .SH/.SZ 短后缀 |
| items | array | 该标的的 K 线数组；无数据时为 [] |
| total | integer | items 的 K 线条数；无数据时为 0 |
items 中每根 K 线字段：
| 字段名 | 类型 | 说明 | 单位 |
|---|---|---|---|
| open / high / low / close | string | 开/高/低/收盘价；进行中的 K 线 close 为最新价；JSON 中为字符串以保留精度 |
元 |
| ts_millis | integer | K 线结束时间戳 | 毫秒 |
| ts_millis_open | integer | K 线开始时间戳 | 毫秒 |
| turnover | string | 成交额；JSON 中为字符串以保留精度 | 元 |
| volume | integer | 成交量 | - |
| turnover_rate | number / null | 换手率；可转债批量历史 K 线当前固定为 null |
% |
4. 调用方式
python <RUN_PY> convertible-bond-candlesticks-batch --symbols 113042.SH,123107.SZ --interval-unit day --since-ts-millis 1786291200000 --until-ts-millis 1786377599999 --limit 1
python <RUN_PY> convertible-bond-candlesticks-batch --symbols 113042.XSHG,123107.XSHE --interval-unit week --adjust-kind forward --since-ts-millis 1783000000000 --until-ts-millis 1786377599999
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.
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.
- 4d ago Changed · +8 lines 45e808fd737a
- 1mo ago Changed · -1 lines · -4 tokens per session d8e1fe4f6b50
- 1mo ago Changed · +3 lines · +41 tokens per session 54249137b538
- 1mo ago First seen · 59 lines · 105 tokens per session scan A 211484b1fcc8
convertible-bond-candlesticks-batch is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed 5d ago), licensed MIT. It adds 142 tokens to every session and 1,418 once invoked, about $0.0006 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 2026-08-30.
Other skills, from other repositories
defeatbeta-earnings-analysis
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when…
tickdb-market-data
A real-time market-data API for foreign exchange, metals, indexes, stocks, and cryptocurrencies. An API is a service that software can call to request data.
defeatbeta-earnings-preview
Build pre-earnings analysis with normalized baselines, weighted decision models, company-specific veto gates, scenario frameworks, catalysts, historical reactions, and options-implied moves. Use before a company reports quarterly earnings to prepare positioning notes or bilingual three-page PDF reports.
defeatbeta-analyst
Professional financial analysis using 60+ market data APIs. Use for: company fundamentals (revenue, margins, EPS, balance sheet), valuation (P/E, P/B, P/S, PEG, DCF, intrinsic value), profitability (ROE, ROA, ROIC), growth trends (YoY revenue/earnings/FCF), earnings transcripts (key data, changes, guidance), industry…
defeatbeta-earnings-key-data
Run one of three traceable earnings-call transcript templates through the DefeatBeta MCP tools: (1) extract current-quarter results plus next-quarter and full-year guidance, (2) extract factual QoQ or YoY financial-metric change sentences, or (3) extract numerical forward-looking forecast sentences with…
sprr
Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".