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 pipeline-analysisgit 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/pipeline-analysis)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/pipeline-analysis"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/pipeline-analysis/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/pipeline-analysis"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/pipeline-analysis.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 | $0.00046 | $0.01219 |
| Opus 5 | $0.00023 | $0.00609 |
| Sonnet 5 | $0.00009 | $0.00244 |
| Haiku 4.5 | $0.00005 | $0.00122 |
Grade A, and why
pipeline-analysis 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Methodology inspired by publicly taught pipeline-valuation frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| asset_scope | all disclosed assets | Full-pipeline enumeration first |
| include_devices | true | Devices via PMA/De Novo share catalyst logic |
| valuation_frame | risk-adjusted | rNPV-style thinking, not raw NPV |
Preflight
Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.
Triggers
- "Analyze [biotech ticker]'s pipeline."
- "What's in [ticker]'s clinical portfolio?"
- "Map [ticker]'s assets by phase and indication."
- "What are [ticker]'s next catalysts?"
- "How much runway does [ticker] have?"
- "Risk-adjusted view of [ticker]'s pipeline value."
- "Which of [ticker]'s programs matter most?"
- "Pipeline deep-dive for [ticker]."
- "What devices does [ticker] have in the works?"
- "Compare [ticker]'s pipeline to its peers."
Production Grounding
- Enumerate assets from
get_company_drugs/get_company_devices(049 universes); supplement with filings (search_sec_filings,read_source_*) for trial phase/status. - Phase-aware valuation: discovery/preclinical minimal; P1/P2 option-value; P3/registered majority of risk-adjusted value. Apply AdCom-style scrutiny axes when sizing pivotal-stage assets (per
references/knowledge-frameworks.md). - Cash runway (quarters) gates which catalysts the company can reach; funding risk is pipeline risk.
Data Source Priority
get_company_drugs/get_company_devices— asset inventory from the 049 universes.search_sec_filings/read_source_*— phase, status, trial data, guidance.search_xbrl_facts— cash/R&D spend for runway.- Knowledge layer:
search_investment_strategies(sectors=med)+ cases for playbook grounding.
Methodology
Retrieval Scope
unstructured_document_search
Retrieval Strategy
- Pull asset inventory (
get_company_drugs/get_company_devices). - Enrich per-asset phase/status/next-catalyst from filings.
- Compute runway from balance-sheet facts.
- Size each asset risk-adjusted; ground in strategies/cases.
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.
- 2d ago Changed · +1 lines 029698facf11
- 7d ago First seen · 149 lines · 46 tokens per session scan A f31fcb9bcc1a
pipeline-analysis is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed 2d ago), licensed Apache-2.0. It adds 46 tokens to every session and 1,219 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 2026-09-05.
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