Creator · FTShare-Lab
Last updated · Sep 1, 2026
批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。
Creator · FTShare-Lab
Last updated · Sep 1, 2026
批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。
Creator · FTShare-Lab
Last updated · Sep 1, 2026
批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。
Creator · FTShare-Lab
Last updated · Sep 1, 2026
批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。
Sandbox only
Install targets
Codex install prompt
Install the "convertible-bond-candlesticks-batch" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/convertible-bond-candlesticks-batch. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"ftshare-lab-convertible-bond-candlesticks-batch","task":"Install convertible-bond-candlesticks-batch","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Maintenance
fresh
13d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
58
65/100 Quality · 75/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
58 GitHub stars
Repo activity
58 stars, 11 forks
Maintenance
13d since push
License
MIT
Install
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batchDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
Agent should check
Copy prompt
Task: Use convertible-bond-candlesticks-batch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
LLM text format
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install?format=text
Find alternatives
/api/skills/search?q=convertible-bond-candlesticks-batch&limit=3
Agent prompt
Use convertible-bond-candlesticks-batch for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batchRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/ftshare-lab-convertible-bond-candlesticks-batch
LLM text
/api/registry/manifest/ftshare-lab-convertible-bond-candlesticks-batch?format=text
Install alias
/api/registry/install/ftshare-lab-convertible-bond-candlesticks-batch
Recommend
/api/registry/recommend?task=Use%20convertible-bond-candlesticks-batch%20in%20an%20agent%20workflow&limit=3
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK58 GitHub stars
Stars/forks activity
CHECK58 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: convertible-bond-candlesticks-batch description: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。 ---
# 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[] | 是 | 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 | 是 | 周期单位 | Day | Minute/Day/Week/Month/Year | | interval_value | int | 否 | 间隔数值 | 1 | 默认 1;Minute+5 表示 5 分钟 K 线 | | adjust_kind | string | 否 | 复权类型 | Forward | None(默认)/Forward(前复权)/Backward(后复权) | | since_ts_millis | int | 否 | 开始时间戳(毫秒) | 1756700000000 | 分钟 K 线与 until 跨度 ≤3 天 | | until_ts_millis | int | 是 | 结束时间戳(毫秒) | 1756791000000 | - | | limit | int | 否 | 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
```bash 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
- `symbols`、`interval_unit`、`until_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。
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for convertible-bond-candlesticks-batch, ready for a manual X post.
convertible-bond-candlesticks-batch: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债... 58 stars https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=x
Listing + install path for convertible-bond-candlesticks-batch: https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to FTShare-Lab but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)FTShare-Lab
@ftshare-lab
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsSandbox only
Install targets
Codex install prompt
Install the "convertible-bond-candlesticks-batch" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/convertible-bond-candlesticks-batch. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"ftshare-lab-convertible-bond-candlesticks-batch","task":"Install convertible-bond-candlesticks-batch","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Maintenance
fresh
13d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
58
65/100 Quality · 75/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
58 GitHub stars
Repo activity
58 stars, 11 forks
Maintenance
13d since push
License
MIT
Install
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batchDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
Agent should check
Copy prompt
Task: Use convertible-bond-candlesticks-batch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
LLM text format
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install?format=text
Find alternatives
/api/skills/search?q=convertible-bond-candlesticks-batch&limit=3
Agent prompt
Use convertible-bond-candlesticks-batch for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batchRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/ftshare-lab-convertible-bond-candlesticks-batch
LLM text
/api/registry/manifest/ftshare-lab-convertible-bond-candlesticks-batch?format=text
Install alias
/api/registry/install/ftshare-lab-convertible-bond-candlesticks-batch
Recommend
/api/registry/recommend?task=Use%20convertible-bond-candlesticks-batch%20in%20an%20agent%20workflow&limit=3
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK58 GitHub stars
Stars/forks activity
CHECK58 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: convertible-bond-candlesticks-batch description: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。 ---
# 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[] | 是 | 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 | 是 | 周期单位 | Day | Minute/Day/Week/Month/Year | | interval_value | int | 否 | 间隔数值 | 1 | 默认 1;Minute+5 表示 5 分钟 K 线 | | adjust_kind | string | 否 | 复权类型 | Forward | None(默认)/Forward(前复权)/Backward(后复权) | | since_ts_millis | int | 否 | 开始时间戳(毫秒) | 1756700000000 | 分钟 K 线与 until 跨度 ≤3 天 | | until_ts_millis | int | 是 | 结束时间戳(毫秒) | 1756791000000 | - | | limit | int | 否 | 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
```bash 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
- `symbols`、`interval_unit`、`until_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。
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for convertible-bond-candlesticks-batch, ready for a manual X post.
convertible-bond-candlesticks-batch: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债... 58 stars https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=x
Listing + install path for convertible-bond-candlesticks-batch: https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to FTShare-Lab but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)FTShare-Lab
@ftshare-lab
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsSandbox only
Install targets
Codex install prompt
Install the "convertible-bond-candlesticks-batch" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/convertible-bond-candlesticks-batch. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"ftshare-lab-convertible-bond-candlesticks-batch","task":"Install convertible-bond-candlesticks-batch","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Maintenance
fresh
13d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
58
65/100 Quality · 75/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
58 GitHub stars
Repo activity
58 stars, 11 forks
Maintenance
13d since push
License
MIT
Install
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batchDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
Agent should check
Copy prompt
Task: Use convertible-bond-candlesticks-batch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
LLM text format
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install?format=text
Find alternatives
/api/skills/search?q=convertible-bond-candlesticks-batch&limit=3
Agent prompt
Use convertible-bond-candlesticks-batch for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batchRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/ftshare-lab-convertible-bond-candlesticks-batch
LLM text
/api/registry/manifest/ftshare-lab-convertible-bond-candlesticks-batch?format=text
Install alias
/api/registry/install/ftshare-lab-convertible-bond-candlesticks-batch
Recommend
/api/registry/recommend?task=Use%20convertible-bond-candlesticks-batch%20in%20an%20agent%20workflow&limit=3
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK58 GitHub stars
Stars/forks activity
CHECK58 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: convertible-bond-candlesticks-batch description: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。 ---
# 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[] | 是 | 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 | 是 | 周期单位 | Day | Minute/Day/Week/Month/Year | | interval_value | int | 否 | 间隔数值 | 1 | 默认 1;Minute+5 表示 5 分钟 K 线 | | adjust_kind | string | 否 | 复权类型 | Forward | None(默认)/Forward(前复权)/Backward(后复权) | | since_ts_millis | int | 否 | 开始时间戳(毫秒) | 1756700000000 | 分钟 K 线与 until 跨度 ≤3 天 | | until_ts_millis | int | 是 | 结束时间戳(毫秒) | 1756791000000 | - | | limit | int | 否 | 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
```bash 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
- `symbols`、`interval_unit`、`until_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。
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for convertible-bond-candlesticks-batch, ready for a manual X post.
convertible-bond-candlesticks-batch: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债... 58 stars https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=x
Listing + install path for convertible-bond-candlesticks-batch: https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to FTShare-Lab but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)FTShare-Lab
@ftshare-lab
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsSandbox only
Install targets
Codex install prompt
Install the "convertible-bond-candlesticks-batch" agent skill from https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/convertible-bond-candlesticks-batch. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"ftshare-lab-convertible-bond-candlesticks-batch","task":"Install convertible-bond-candlesticks-batch","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Maintenance
fresh
13d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
58
65/100 Quality · 75/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
58 GitHub stars
Repo activity
58 stars, 11 forks
Maintenance
13d since push
License
MIT
Install
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batchDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
Agent should check
Copy prompt
Task: Use convertible-bond-candlesticks-batch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20convertible-bond-candlesticks-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
Install command: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install
LLM text format
/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install?format=text
Find alternatives
/api/skills/search?q=convertible-bond-candlesticks-batch&limit=3
Agent prompt
Use convertible-bond-candlesticks-batch for this task. Review https://www.openagentskill.com/api/skills/ftshare-lab-convertible-bond-candlesticks-batch/install, then install with: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batchRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/ftshare-lab-convertible-bond-candlesticks-batch
LLM text
/api/registry/manifest/ftshare-lab-convertible-bond-candlesticks-batch?format=text
Install alias
/api/registry/install/ftshare-lab-convertible-bond-candlesticks-batch
Recommend
/api/registry/recommend?task=Use%20convertible-bond-candlesticks-batch%20in%20an%20agent%20workflow&limit=3
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK58 GitHub stars
Stars/forks activity
CHECK58 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: convertible-bond-candlesticks-batch description: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债日 K/周 K/月 K/年 K 时使用。必填 --symbols、--interval-unit、--until-ts-millis;可选 --interval-value、--adjust-kind、--since-ts-millis、--limit。 ---
# 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[] | 是 | 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 | 是 | 周期单位 | Day | Minute/Day/Week/Month/Year | | interval_value | int | 否 | 间隔数值 | 1 | 默认 1;Minute+5 表示 5 分钟 K 线 | | adjust_kind | string | 否 | 复权类型 | Forward | None(默认)/Forward(前复权)/Backward(后复权) | | since_ts_millis | int | 否 | 开始时间戳(毫秒) | 1756700000000 | 分钟 K 线与 until 跨度 ≤3 天 | | until_ts_millis | int | 是 | 结束时间戳(毫秒) | 1756791000000 | - | | limit | int | 否 | 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
```bash 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
- `symbols`、`interval_unit`、`until_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。
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for convertible-bond-candlesticks-batch, ready for a manual X post.
convertible-bond-candlesticks-batch: 批量获取多只可转债 K 线 POST 接口(market.ft.tech,convertible-bond-candlesticks/batch)。用户问多只可转债的 K 线、批量可转债... 58 stars https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=x
Listing + install path for convertible-bond-candlesticks-batch: https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=x Install: npx skills add FTShare-Lab/FTShare-skill --skill convertible-bond-candlesticks-batch
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to FTShare-Lab but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch/audit)
[](https://www.openagentskill.com/skills/ftshare-lab-convertible-bond-candlesticks-batch?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)FTShare-Lab
@ftshare-lab
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsPermission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness