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 pledge-summarygit 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/pledge-summary)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/pledge-summary"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/pledge-summary/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/pledge-summary"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/pledge-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 10 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 12 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 14 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00085 | $0.00848 |
| Opus 5 | $0.00043 | $0.00424 |
| Sonnet 5 | $0.00017 | $0.00170 |
| Haiku 4.5 | $0.00009 | $0.00085 |
Grade A, and why
pledge-summary 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 6d 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.
查询所有期股权质押总揽数据
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询所有期股权质押总揽数据 |
| 外部接口 | /api/v1/market/data/pledge/pledge-summary |
| 请求方式 | GET |
| 适用场景 | 获取 A 股市场所有报告期的股权质押总揽数据，包括质押公司数量、质押笔数、质押总股数、质押总市值、沪深300指数等信息，支持沪深京股票 |
请求参数
本接口无需任何请求参数。
执行方式
通过根目录的 run.py 调用（推荐）：
python <RUN_PY> pledge-summary
<RUN_PY>为主SKILL.md同级的run.py绝对路径，参见主 SKILL.md 的「调用方式」说明。
响应结构
接口直接返回数组，不含分页信息。
[
{
"trade_date": "2025-09-30",
"pledge_total_ratio": 0,
"pledge_company_count": 1234,
"pledge_deal_count": 5678,
"pledge_total_shares": 1234567890000.0,
"pledge_total_market_value": 98765432100000.0,
"hs300_index": 3456.78,
"hs300_week_change_ratio": 2.34
}
]
PledgeMarketSummary 字段说明
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| trade_date | String | 否 | 报告日期，固定格式为 YYYY-MM-DD | - |
| pledge_total_ratio | float | 否 | A 股质押总比例，当前返回 0 | % |
| pledge_company_count | int | 否 | 质押公司数量（有质押的上市公司数量） | 家 |
| pledge_deal_count | int | 否 | 质押笔数（所有质押交易的总笔数） | 笔 |
| pledge_total_shares | float | 否 | 质押总股数（所有质押股票的总股数） | 股 |
| pledge_total_market_value | float | 否 | 质押总市值（所有质押股票的总市值） | 元 |
| hs300_index | float | 否 | 沪深300指数（报告日期的沪深300指数收盘价） | - |
| hs300_week_change_ratio | float | 否 | 沪深300周涨跌幅（与一周前对比的涨跌幅） | % |
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.
- 6d ago First seen · 69 lines · 85 tokens per session scan A 08d2414523f1
pledge-summary is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 85 tokens to every session and 848 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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