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 stock-comment-indexgit 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/stock-comment-index)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-comment-index"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-comment-index/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/stock-comment-index"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-comment-index.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 | $0.00071 | $0.00561 |
| Opus 5 | $0.00036 | $0.00280 |
| Sonnet 5 | $0.00014 | $0.00112 |
| Haiku 4.5 | $0.00007 | $0.00056 |
Grade A, and why
stock-comment-index 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 8d 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.
What it actually says
千股千评主表
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 千股千评综合诊断主表 |
| 外部接口 | GET /api/v1/market/data/stock-comment/index |
| 请求方式 | GET |
| 适用场景 | 查询东方财富千股千评综合诊断主表，获取全市场股票的综合评分与排名 |
2. 请求参数
无参数，返回全量数据。
3. 响应说明
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
| data.total | int | 否 | 总记录数 |
| data.items[].seq | int | 否 | 序号 |
| data.items[].security_code | string | 否 | 股票代码 |
| data.items[].security_name_abbr | string | 是 | 股票简称 |
| data.items[].trade_date | string | 是 | 交易日期 |
| data.items[].close_price | string | 是 | 收盘价 |
| data.items[].change_rate | string | 是 | 涨跌幅 |
| data.items[].turnover_rate | string | 是 | 换手率 |
| data.items[].pe_dynamic | string | 是 | 动态市盈率 |
| data.items[].prime_cost | string | 是 | 主力成本 |
| data.items[].org_participate | string | 是 | 机构参与度 |
| data.items[].total_score | string | 是 | 综合评分 |
| data.items[].rank | string | 是 | 当前排名 |
| data.items[].focus | string | 是 | 关注指数 |
4. 用法
python <RUN_PY> stock-comment-index
5. 注意事项
- 返回全量数据（约 5000+ 条），数据量较大，可能因响应过大导致服务端截断（HTTP/2 限制）。如遇到 JSON 解析失败，说明数据被截断，需等服务端修复或通过单股接口（
stock-comment-score/stock-comment-focus等）按个股查询。 - 数值类字段以字符串形式返回以保持精度。
What ships with it
1 file 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.
- 8d ago First seen · 50 lines · 71 tokens per session scan A f40db6cbf98d
stock-comment-index is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 561 once invoked, about $0.0004 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 2026-09-03.
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