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 earnings-preview-medgit 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/earnings-preview-med)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/earnings-preview-med"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/earnings-preview-med/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/earnings-preview-med"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/earnings-preview-med.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 | $0.00050 | $0.01414 |
| Opus 5.5 | $0.00020 | $0.00566 |
| Sonnet 5.5 | $0.00010 | $0.00283 |
| Haiku 4.5 | $0.00005 | $0.00141 |
Grade A, and why
earnings-preview-med 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.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Methodology inspired by publicly taught earnings-preview frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| surprise_window | 8 quarters | Standard surprise history window |
| include_catalysts | true | Med prints move on catalysts as much as EPS |
| guidance_sensitivity | true | Guidance is the swing factor for pharma |
Preflight
Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).
Triggers
- "Preview [biotech ticker]'s upcoming earnings."
- "What should I expect at [ticker]'s next print?"
- "How has [ticker] surprised historically?"
- "Which catalysts land near [ticker]'s earnings date?"
- "Build an earnings preview with consensus estimates."
- "What's the guidance risk for [ticker] this quarter?"
- "Summarize the last few quarters for [ticker]."
- "Earnings + FDA calendar overlap for [ticker]."
- "What are the swing factors for [ticker]'s print?"
- "Historical reaction to [ticker]'s earnings surprises."
- "What changed in my estimates, thesis, and positioning ahead of [ticker]'s print?"
Production Grounding
- Med prints have TWO drivers: financials (revenue/EPS/guidance) and catalysts (PDUFA/AdCom/readouts). The catalyst overlay is mandatory — a clean quarter can be undone by a CRL days earlier.
- Every preview closes with model-vs-consensus deltas (our modeled numbers vs consensus from
search_earnings_calendar, signed with the driver named) and the three what's-changed vectors (estimates / thesis / positioning) — estimates move first, thesis and positioning follow only when the facts justify them. - For pre-revenue biotechs, the print is mostly about cash runway + pipeline updates; consensus EPS is secondary.
- Grounding frameworks:
references/knowledge-frameworks.md(道/法 review knowledge).
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 Changed 2f5e52366b71
- 1mo ago Changed · +8 lines f4b329f4b198
- 1mo ago First seen · 146 lines · 50 tokens per session scan A a782233e991a
earnings-preview-med is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (208 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 1,414 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 2026-09-09.
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