earnings-preview-med

earnings-preview-med is a skill for Claude Code from agentii-ai/agentii-investment-intelligence. It costs 50 tokens per session (1,180 once invoked), scanned A, original, Apache-2.0.

A biotech and pharmaceutical earnings-preview guide that combines company financial estimates with nearby FDA events, such as approval decisions, advisory meetings, and trial results.

In plain words
What is it for?
It helps review analyst estimates, past surprises, guidance risks, and nearby FDA catalysts for an earnings report.
Why use it?
It helps assess both expected financial results and medical events that may affect a company around its earnings date.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the bio-pharm plugin — 7 skills shipped together

Good fit It helps review analyst estimates, past surprises, guidance risks, and nearby FDA catalysts for an earnings report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentii-ai/agentii-investment-intelligence/earnings-preview-med
Install

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.

Any agent
npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-preview-med
Clone the repo
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence

Made for: Claude Code.

Or install bio-pharm, the plugin that ships this one along with the rest of its 7 skills.

Wrote 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.

agentmods badge for earnings-preview-med

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/earnings-preview-med/github.svg)](https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/earnings-preview-med)
Your own site
<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.

agentmods 80×15 button for earnings-preview-med

Your own site · 80×15
<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>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,180 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.01180
Opus 5 $0.00025 $0.00590
Sonnet 5 $0.00010 $0.00236
Haiku 4.5 $0.00005 $0.00118

Measured 2d ago against content hash a782233e991a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 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.

plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 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. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.

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."

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.
  • 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).

Data Source Priority

  1. search_earnings_calendar — estimates, actuals, surprise history, next date.
  2. search_xbrl_facts — revenue/EPS/margin trends.
  3. search_documents/read_source_* — prior-quarter commentary and guidance.
  4. Knowledge layer: search_investment_cases for historical print reactions.

Methodology

Retrieval Scope

unstructured_document_search

Retrieval Strategy

  1. Resolve the earnings event: search_earnings_calendar for dates/estimates/surprises.
  2. Pull fundamentals trend: search_xbrl_facts key line items.
  3. Catalyst overlay: nearest PDUFA/AdCom/readout vs print date.
  4. Ground with historical cases (print reactions) via knowledge tools.

Read the full file on GitHub · 146 lines

Files

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.

Changes

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.

  1. 2d ago First seen · 146 lines · 50 tokens per session scan A a782233e991a

Subscribe to this mod's changes

earnings-preview-med is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 1,180 once invoked, about $0.0003 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 2026-09-09.

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