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-goodwill-market-overviewgit 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-goodwill-market-overview)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-goodwill-market-overview"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-goodwill-market-overview/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-goodwill-market-overview"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-goodwill-market-overview.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 | $0.00052 | $0.00642 |
| Opus 5 | $0.00026 | $0.00321 |
| Sonnet 5 | $0.00010 | $0.00128 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
stock-goodwill-market-overview 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 7d 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
查询A股商誉市场概况
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询A股商誉市场概况 |
| 外部接口 | GET /api/v1/market/data/goodwill/market-overview |
| 请求方式 | GET |
| 适用场景 | 查询 A 股全市场商誉历史概况，包含商誉规模、减值金额、占净资产/净利润比例等汇总指标 |
请求参数
无需参数，返回全部历史数据，按报告期倒序排列。
执行方式
python scripts/handler.py
响应结构
{
"code": 0,
"message": "success",
"data": {
"total": 17,
"items": [
{
"report_date": "2026-03-31 00:00:00",
"goodwill_scale": "1224218430250.2300",
"goodwill_impairment": null,
"net_assets": "56278253157394.5000",
"goodwill_to_net_assets_ratio": "0.02175296",
"impairment_to_net_assets_ratio": null,
"net_profit_scale": "1133013378865.3600",
"impairment_to_net_profit_ratio": null
}
]
}
}
字段说明（GoodwillMarketOverviewItem）
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
| report_date | string | 是 | 报告期，格式 YYYY-MM-DD HH:MM:SS |
| goodwill_scale | string | 是 | 全市场商誉规模（元） |
| goodwill_impairment | string | 是 | 全市场商誉减值金额（元） |
| net_assets | string | 是 | 全市场净资产（元） |
| goodwill_to_net_assets_ratio | string | 是 | 商誉占净资产比例 |
| impairment_to_net_assets_ratio | string | 是 | 减值占净资产比例 |
| net_profit_scale | string | 是 | 全市场净利润规模（元） |
| impairment_to_net_profit_ratio | string | 是 | 减值占净利润比例 |
注意事项
- 无需参数，返回全量历史数据，按 report_date 倒序
- 金额字段均为 Decimal 类型，以字符串形式返回以保持精度
- goodwill_impairment 对应数据库 goodwill_change 列（response 层做了语义化重命名）
调用示例
python <RUN_PY> stock-goodwill-market-overview
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.
- 7d ago First seen · 75 lines · 52 tokens per session scan A a0a4b90fd417
stock-goodwill-market-overview is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 642 once invoked, about $0.0003 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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