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 adambbhe/TDX-finance-mcp-plugin-v3 --skill tdx-report-ratinggit clone --depth 1 https://github.com/adambbhe/TDX-finance-mcp-plugin-v3Wrote 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/adambbhe/tdx-finance-mcp-plugin-v3/tdx-report-rating)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-report-rating"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-report-rating/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/adambbhe/tdx-finance-mcp-plugin-v3/tdx-report-rating"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-report-rating.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00047 | $0.00694 |
| Opus 5.5 | $0.00019 | $0.00278 |
| Sonnet 5.5 | $0.00009 | $0.00139 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
查询个股研报评级一致预期 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 1mo 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
TDX Report Rating
何时使用
当用户想看个股研报评级一致预期、目标价预期、时间序列变化或分析师一致预期概览时使用本 skill。
入参规则
entry固定为TdxSharePCCW.tdxf10_gg_ybpj- 结构化路由会自动推导到
mode="code-fixed-tag" code必须是 6 位股票代码字符串fixedTag固定为yzyq- 默认
preset为report_rating_consensus - 如果显式传
responseTransform，要保证它与fixedTag=yzyq对应一致；当前代码不会自动纠正不匹配的 preset - 如果用户明确要求原始上游响应，使用
mode="raw"并按上游顺序传params
查询类型映射
| 查询类型 | 适用场景 | fixedTag |
默认 preset |
结果表名 |
|---|---|---|---|---|
consensus |
研报评级一致预期、目标价预期、时间序列变化 | yzyq |
report_rating_consensus |
overview、consensus_timeline、adjustment_factors、price_series |
选择规则
- 用户问“评级一致预期”“目标价一致预期”“分析师一致预期”时，使用
consensus - 如果用户没有细分，只要问题仍属于研报评级预期，默认使用
consensus
调用方式
推荐写法：依赖自动推导
tdx_api_data entry="TdxSharePCCW.tdxf10_gg_ybpj" code="000001" fixedTag="yzyq"
显式覆盖默认转换
tdx_api_data entry="TdxSharePCCW.tdxf10_gg_ybpj" code="000001" fixedTag="yzyq" responseTransform={"kind":"preset","preset":"report_rating_consensus"}
原始上游结果
tdx_api_data mode="raw" entry="TdxSharePCCW.tdxf10_gg_ybpj" params=["000001","yzyq"]
结果处理
- 优先读取
response.transformed.tables - 重点关注
overview中的预测截止期、基准报告期、最近更新时间 - 需要看趋势时，再展开
consensus_timeline、adjustment_factors、price_series - 如果用户要求原始字段，再补充
response.data
输出要求
- 先说明查询对象和调用参数
- 再总结最新预期、时间序列条数和关键变化
- 最后补充需要展开的明细表或异常说明
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.
- 1mo ago First seen · 65 lines · 47 tokens per session scan A 1f2f6847b77d
查询个股研报评级一致预期 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (42 stars, last pushed 3d ago), licensed MIT. It adds 47 tokens to every session and 694 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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