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 agentii-ai/agentii-investment-intelligence --skill recent-quartergit clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligenceWrote 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/agentii-ai/agentii-investment-intelligence/recent-quarter)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/recent-quarter"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/recent-quarter/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/agentii-ai/agentii-investment-intelligence/recent-quarter"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/recent-quarter.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 | $0.00047 | $0.01994 |
| Opus 5 | $0.00023 | $0.00997 |
| Sonnet 5 | $0.00009 | $0.00399 |
| Haiku 4.5 | $0.00005 | $0.00199 |
Grade A, and why
recent-quarter 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 2d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Recent Quarter Performance
Preflight
Run the canonical pre-flight sequence — MCP health probe, ticker resolution, workspace style.md override, memory load, and coverage check. See contracts/preflight.md.
Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md.
Triggers
- analyze recent quarter performance for {ticker}
- quarterly earnings review for {ticker}
- last quarter results {ticker}
- quarterly financial performance {ticker}
- analyze {ticker} recent quarter
- {ticker} Q4 earnings
- {ticker} quarterly revenue breakdown
- EPS this quarter {ticker}
- margin analysis recent quarter {ticker}
- sequential growth {ticker}
Defaults
| Parameter | Default | Notes |
|---|---|---|
| lookback_quarters | 1 | Single most-recent quarter |
| include_sequential | true | Show QoQ growth rates |
Methodology
1. Retrieval Scope
This skill performs structured data retrieval (XBRL facts + earnings calendar) plus earnings call transcript document search (search_documents(form_type="earnings_call_transcript") → read_source_pages) to cross-reference management's call commentary against the reported quarter. Business-model structural analysis is handled by /agentii:business-model . This skill is TEMPORAL/QUANTITATIVE .
2. Retrieval Strategy
- ** Pre-flight (mandatory)**:
get_company_fiscal_calendar/{ticker}thenget_ticker_coverage/{ticker}. Route based on coverage. - XBRL retrieval:
search_xbrl_facts(ticker, concept=["Revenues","GrossProfit","OperatingIncomeLoss","NetIncomeLoss","EarningsPerShareDiluted"], fiscal_year=[latest])— returnsis_primary: truerows by default. - Earnings calendar:
search_earnings_calendar(ticker, fiscal_year=[latest, latest-1])— returns EPS actual/estimate/surprise. Useget_company_fiscal_calendarfor fiscal period orientation, NOTsearch_earnings_calendar. - Consolidated P&L:
get_company_financials/{ticker}returns IS/BS/CF highlights with XBRL data.
What ships with it
5 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.
- 2d ago Changed · +1 lines 4f3d580bb530
- 7d ago Changed · +8 lines f7856d70d0f4
- 12d ago First seen · 125 lines · 47 tokens per session scan A 5f07479c3148
recent-quarter is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 47 tokens to every session and 1,994 once invoked, about $0.0002 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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