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 iFurySt/aifi --skill aifi-daily-reportgit clone --depth 1 https://github.com/iFurySt/aifiWrote 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/ifuryst/aifi/aifi-daily-report)<a href="https://agentmods.dev/skills/ifuryst/aifi/aifi-daily-report"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/aifi-daily-report/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/ifuryst/aifi/aifi-daily-report"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/aifi-daily-report.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 | $0.00123 | $0.01206 |
| Opus 5 | $0.00062 | $0.00603 |
| Sonnet 5 | $0.00025 | $0.00241 |
| Haiku 4.5 | $0.00012 | $0.00121 |
Grade A, and why
aifi-daily-report 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 11d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIFi Daily Report
Use this skill to produce the final daily report the user reads. The report is a polished investment research artifact, not a log of how AIFi maintains data. Do not expose archive mechanics, skill names, or repository maintenance details inside the report unless the user explicitly asks for provenance diagnostics.
Output Contract
-
Language: Chinese, professional, concise, data-driven.
-
Format: one self-contained HTML file led by tables and compact charts, with short text used only for key conclusions and interpretation.
-
File path:
research/daily-reports/YYYY/MM/美股收盘日报-YYYY-MM-DD.htmlYYYY-MM-DDis the US trading session date being reviewed. -
The first viewport should read like a real market note: title, session date, 3-5 sentence headline summary, and key market cards. It should not explain AIFi internals.
-
End-of-turn response: one line with the saved file path and a 2-3 sentence headline summary. Do not paste the full report.
Data Sourcing
- Resolve the correct US session date first. On Beijing mornings, the latest completed US session is usually the prior US calendar day.
- Use
research/targets/*as durable AIFi context for tracked companies, open questions, earnings history, filings, and recurring watchlists. - Use web search / fetch for fresh market data, macro data, breadth, sector moves, earnings calendars, and newly reported company news. Prefer primary or market-standard sources: company IR, SEC, Nasdaq, NYSE, CME FedWatch, Treasury, FRED, EIA, Yahoo Finance, CNBC, Reuters, Bloomberg, MarketWatch, WSJ, Barchart, Finviz, TradingView, Koyfin, FactSet.
- If fresh research materially improves a tracked target, update
research/targets/<target>/before composing the final report. - Never fabricate numbers. If a value cannot be verified, write
暂无可靠数据in the report. - Cite important numbers and claims with visible source links or source labels.
Report Structure
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.
- 11d ago First seen · 108 lines · 123 tokens per session scan A 97c4084710bd
aifi-daily-report is a skill published in the GitHub repository iFurySt/aifi (22 stars, last pushed 1mo ago), licensed MIT. It adds 123 tokens to every session and 1,206 once invoked, about $0.0006 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 2026-08-30.
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