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Recent Quarter Med

Community
agentii-ai
recent-quarter-med

Med-adapted recent-quarter review: last print financials, pipeline-milestone awareness, and FDA-event context — reads the quarter through the med lens (milestones moved, runway, regulatory updates) rather than generic financials alone.

Overview

Publisheragentii-ai
Repositoryagentii-investment-intelligence
Skill namerecent-quarter-med
Stars
207
Forks
16
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agentii-ai on GitHub. Read the source before you install it.

Installation

Install the Recent Quarter Med AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/marketplace-beachhead/plugins/bio-pharm/skills/agentii/recent-quarter-med
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git /tmp/agentii-investment-intelligence
mkdir -p .claude/skills
cp -r /tmp/agentii-investment-intelligence/marketplace-beachhead/plugins/bio-pharm/skills/agentii/recent-quarter-med .claude/skills/recent-quarter-med
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Recent Quarter Med in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Recent Quarter Med on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Recent Quarter Med is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Methodology inspired by publicly taught quarter-review frameworks; all text is an original paraphrase.

Defaults

ParameterDefault ValueRationale
review_quarters1Recent quarter focus
include_milestonestruePipeline milestones are med quarter content
include_regulatorytrueCRL/approval/AdCom updates belong in the review

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

  • "Review [biotech ticker]'s most recent quarter."
  • "What happened at [ticker]'s last earnings?"
  • "Summarize [ticker]'s latest 10-Q."
  • "How did [ticker]'s pipeline progress last quarter?"
  • "Any regulatory updates for [ticker] recently?"
  • "Quarterly review with milestone tracking for [ticker]."
  • "What did management say about the pipeline?"
  • "Runway update for [ticker] after the last print."
  • "What moved for [ticker] last quarter?"
  • "Quarter in review: financials + catalysts for [ticker]."
  • "What changed in my estimates, thesis, and positioning after [ticker]'s print?"

Production Grounding

  • A med quarter is judged on BOTH reported financials and pipeline/regulatory progress; milestone slips and CRLs are first-class quarter content.
  • Quarter close-out: model-vs-consensus deltas on key line items (our modeled numbers vs consensus from search_earnings_calendar) + the three what's-changed vectors (estimates / thesis / positioning) — estimates move first, thesis and positioning follow only when the facts justify them.
  • Cash runway (quarters of cash) is a primary metric for clinical-stage names.
  • Grounding frameworks: references/knowledge-frameworks.md (道/法 review knowledge).

Data Source Priority

  1. search_xbrl_facts / get_statement — reported financials.
  2. search_earnings_calendar — consensus values for model-vs-consensus deltas.
  3. search_documents / read_source_* — management commentary, pipeline updates.
  4. get_company_profile — company context.
  5. Knowledge layer: search_investment_cases for similar quarter dynamics.

Methodology

Retrieval Scope

unstructured_document_search

Retrieval Strategy

  1. Pull the latest statements via get_statement + key facts via search_xbrl_facts.
  2. Pull consensus via search_earnings_calendar; compute model-vs-consensus deltas on each key line item; annotate coverage_gap where no consensus value exists.
  3. Read management commentary (read_source_outline/read_source_pages) for milestones/regulatory.
  4. Slot-refresh the three what's-changed vectors: estimates / thesis / positioning.
  5. Assess runway + milestone trajectory.
  6. Ground with historical cases via knowledge tools.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

  1. Financial review
  2. Model-vs-consensus deltas
  3. What's-changed vectors (estimates / thesis / positioning)
  4. Milestone & regulatory review
  5. Runway assessment
  6. Quarter synthesis

Modes

  • Standard (default): financials + milestones + regulatory.
  • Pre-revenue: runway-focused review.
  • Regulatory-heavy: quarter framed around FDA events.

Tool Fallbacks

FailureFallback
get_statement unavailableReconstruct from search_xbrl_facts; annotate
search_earnings_calendar emptyState deltas vs last-modeled values only; annotate consensus coverage_gap
No commentary foundNote coverage gap; use filings only
Knowledge tools emptyProceed with structured data only

Output File

{ticker}/{YYYY-MM-DD_HHMM}_recent-quarter-med_{affix}.md

Output Structure

  1. Executive Summary — quarter verdict in 2-3 sentences
  2. Financial Review — key line items + trends
  3. Model vs Consensus — our modeled numbers vs consensus (search_earnings_calendar) with signed deltas and named drivers
  4. What's Changed — the three vectors: estimates / thesis / positioning (estimates move first, ratings last)
  5. Milestone & Regulatory Review — pipeline progress, FDA updates
  6. Runway & Cash — runway assessment
  7. Historical Context — cases with /v/ citations
  8. Coverage Gaps — degraded flags

Error Handling

ErrorFallback
No recent filingsFlag stale coverage; use latest available
Milestone data missingNote explicitly; do not infer

Memory Load

See contracts/memory-load.md.

Snapshot

See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs.

References

  • contracts/citation-and-memory.md
  • contracts/output-frontmatter-schema.md
  • contracts/memory-load.md
  • contracts/snapshot-synthesis.md
  • contracts/preflight.md
  • references/knowledge-frameworks.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Recent Quarter Med AI skill do?

Med-adapted recent-quarter review: last print financials, pipeline-milestone awareness, and FDA-event context — reads the quarter through the med lens (milestones moved, runway, regulatory updates) rather than generic financials alone.

Why use Recent Quarter Med on TypingMind?

Because you install it once and use it with any model. Recent Quarter Med is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Recent Quarter Med in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/marketplace-beachhead/plugins/bio-pharm/skills/agentii/recent-quarter-med. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Recent Quarter Med?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Recent Quarter Med?

As many as you like. As long as a model supports skills, you can use Recent Quarter Med with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Recent Quarter Med AI skill free?

Yes. It is published on GitHub by agentii-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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