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 news-reaction-snapshotgit 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/news-reaction-snapshot)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/news-reaction-snapshot"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/news-reaction-snapshot/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/news-reaction-snapshot"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/news-reaction-snapshot.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 | $0.00436 |
| Opus 5.5 | $0.00019 | $0.00174 |
| Sonnet 5.5 | $0.00009 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
news-reaction-snapshot 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
消息量价共振
接口：GET /api/v3/market/data/news-reaction-snapshot
参数：--symbol 必填（带交易所后缀，如 600519.SH，兼容 .XSHG/.XSHE/.BJSE、SH:600000 等写法，响应统一为六位数字加 .SH/.SZ/.BJ）；--start-date、--end-date 必填（YYYYMMDD 或 YYYY-MM-DD，与起始日相隔不超过 31 天）；--lookback-hours 可选，仅 24 或 48，不传返回两套窗口；--page 默认 1（上限 1000）、--page-size 默认 50（上限 200）；支持 --all 自动翻页。
python <RUN_PY> news-reaction-snapshot --symbol 600519.SH --start-date 20260818 --end-date 20260828 --lookback-hours 48 --page 1 --page-size 5
返回 code/message/data 分页信封，快照位于 data.records；每条包含 trade_date、symbol、stock_name、lookback_hours、reaction_direction、reaction_stage、trend_interaction、price_volume_signature、relative_performance、participation_state、event_attention_state、observation_sufficiency、state_summary、confidence、data_insufficient、signal_ambiguous。枚举字段保持英文码，中文解释只出现在 state_summary；接口只读历史成功快照，不重新调用模型，也不预测收益。
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.
- 1mo ago First seen · 17 lines · 47 tokens per session scan A 6153d1475eb3
news-reaction-snapshot is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (65 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 436 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 2026-09-17.
Other skills, from other repositories
tickdb-market-data
A real-time market-data API for foreign exchange, metals, indexes, stocks, and cryptocurrencies. An API is a service that software can call to request data.
defeatbeta-earnings-analysis
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when…
defeatbeta-earnings-preview
Build pre-earnings analysis with normalized baselines, weighted decision models, company-specific veto gates, scenario frameworks, catalysts, historical reactions, and options-implied moves. Use before a company reports quarterly earnings to prepare positioning notes or bilingual three-page PDF reports.
defeatbeta-analyst
Professional financial analysis using 60+ market data APIs. Use for: company fundamentals (revenue, margins, EPS, balance sheet), valuation (P/E, P/B, P/S, PEG, DCF, intrinsic value), profitability (ROE, ROA, ROIC), growth trends (YoY revenue/earnings/FCF), earnings transcripts (key data, changes, guidance), industry…
defeatbeta-earnings-key-data
Run one of three traceable earnings-call transcript templates through the DefeatBeta MCP tools: (1) extract current-quarter results plus next-quarter and full-year guidance, (2) extract factual QoQ or YoY financial-metric change sentences, or (3) extract numerical forward-looking forecast sentences with…
sprr
Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".