fund-net-value-performance-single-fund SKILL.md skillA
fund-net-value-performance-single-fund from ftshare-lab/ftshare-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ftshare-lab/ftshare-skill/fund-net-value-performance-single-fund@git:20260718.a0085e5Pins git:20260718.a0085e5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ftshare-lab/ftshare-skill
- Path
ftshare-market-data/sub-skills/fund-net-value-performance-single-fund/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260718.a0085e5, committed Jul 18, 2026
- Size
- 1,818 bytes
- Repository stars
- 64
- License
- MIT
按基金代码查净值口径收益表现。当用户需要查询基金多区间收益率（日/周/月/近三月/六月/今年/近一至十年/成立以来及对应年化收益率），通过 stat_date 单日或 start_date+end_date 区间（互斥）查询时使用。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 基金净值收益表现 ## 接口说明 | 项目 | 说明 | |----------|-------------------------------------------------------------------| | 接口名称 | 基金净值收益表现 | | 外部接口 | `/api/v1/market/data/fund/fund-net-value-performance` | | 请求方式 | GET | ## 请求参数 | 参数名 | 类型 | 是否必填 | 描述 | |--------|------|----------|------| | `--fund_code` | string | 是 | 基金代码 | | `--stat_date` | int | 否 | 统计日期 YYYYMMDD（与 start/end 互斥） | | `--start_date` | int | 否 | 统计开始日期（需与 end_date 同传） | | `--end_date` | int | 否 | 统计结束日期 | | `--page` | int | 否 | 页码，默认 1 | | `--page_size` | int | 否 | 每页记录数，默认 50，上限 200 | ## 执行方式 通过根目录的 `run.py` 调用（推荐）： ```bash python <RUN_PY> fund-net-value-performance-single-fund --fund_code 000001 --start_date 20260101 --end_date 20260717 --page 1 --page_size 50 ``` > `<RUN_PY>` 为主 `SKILL.md` 同级的 `run.py` 绝对路径。 ## 响应结构 JSON 对象或数组，结构请参考 [ftshare-doc](../..) 接口文档。 ## 注意事项 - 必填参数必须提供。 - 响应以 JSON 格式输出至 stdout，诊断信息输出至 stderr。
Read the whole file at its exact version.
How to install
mdr add ftshare-lab/ftshare-skill/fund-net-value-performance-single-fund@sha256:6e7528ec4aab7088The line at the top of this page pins the label git:20260718.a0085e5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_xgrrhtw4ttvj4leh)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 18, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1818 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ftshare-lab/ftshare-skill · 64 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xgrrhtw4ttvj4leh GET https://markdownregistry.com/api/v1/resolve?ref=ftshare-lab/ftshare-skill/fund-net-value-performance-single-fund GET https://markdownregistry.com/api/v1/blob/6e7528ec4aab70889a067ae25473c2aba98795c64c1ca4160891bdbce0b2988c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.