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 fda-catalyst-medicinesgit 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/fda-catalyst-medicines)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/fda-catalyst-medicines"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/fda-catalyst-medicines/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/fda-catalyst-medicines"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/fda-catalyst-medicines.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 | $0.00077 | $0.02030 |
| Opus 5.5 | $0.00031 | $0.00812 |
| Sonnet 5.5 | $0.00015 | $0.00406 |
| Haiku 4.5 | $0.00008 | $0.00203 |
Grade A, and why
fda-catalyst-medicines 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Methodology inspired by publicly taught biotech catalyst frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| forward_window_quarters | 4 | Standard catalyst window; extend to 8 on request |
| include_superseded | false | Active-only events by default; supersede chains on request |
| exclusivity_tracking | true | Orange Book and 180-day exclusivity state attached to launch-relevant events |
| holiday_labeling | true | Holiday-shifted weeks flagged on every calendar row |
| horizon_days | 180 | Default for get_upcoming_pdufa horizon |
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). Confirm ticker resolution via search_companies before catalyst queries.
Triggers
- "When is the PDUFA date for [drug/ticker]?"
- "What AdCom meetings are coming up for [ticker]?"
- "Has [drug]'s sNDA/sBLA label expansion been approved?"
- "Which biosimilars have interchangeability designation, and when does 180-day exclusivity run?"
- "What is [drug]'s Orange Book patent and exclusivity state?"
- "How is [ticker]'s CRL remediation timeline shaping up?"
- "Build a PDUFA/AdCom calendar for my pharma watchlist."
- "Evaluate the approval odds for [drug] ahead of its AdCom."
- "What label expansions are pending for [ticker] this year?"
- "Which medicine decisions land this quarter?"
- "How do biosimilar launches erode the reference product's share?"
- "Which catalysts overlap with [ticker]'s earnings date?"
Production Grounding
- CDER mechanics: NDA/BLA review tracks, PDUFA target dates, priority review, breakthrough designation, accelerated approval, CRL deficiency classes and the remediation reset, AdCom vote patterns.
- Label expansions (sNDA/sBLA) are the commercial catalysts beyond first approval; Orange Book patent and exclusivity state sets the generic or biosimilar entry window.
- Biosimilar timeline note: interchangeability plus 180-day exclusivity for the first interchangeable delays competing entry — and approval is not launch; commercial timing follows exclusivity expiry and patent-settlement terms.
- Holiday-week labeling discipline: comps across holiday-shifted weeks are noisy; every calendar row carries its caveat, and holiday weeks are labeled explicitly.
- Apply AdCom-style scrutiny axes when framing outcome odds; never fabricate dates, votes, or outcomes — annotate coverage gaps instead (per
references/knowledge-frameworks.md).
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 d456a7272a86
- 1mo ago First seen · 167 lines · 77 tokens per session scan A efdc962aa68e
fda-catalyst-medicines is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (208 stars, last pushed yesterday), licensed Apache-2.0. It adds 77 tokens to every session and 2,030 once invoked, about $0.0003 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 2026-09-15.
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