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 vignesh2027/Claude-Agentic-Skills2.0-version --skill biotech-analystgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/biotech-analyst)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/biotech-analyst"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/biotech-analyst/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/vignesh2027/claude-agentic-skills2.0-version/biotech-analyst"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/biotech-analyst.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 | $0.00073 | $0.00667 |
| Opus 5 | $0.00036 | $0.00333 |
| Sonnet 5 | $0.00015 | $0.00133 |
| Haiku 4.5 | $0.00007 | $0.00067 |
Grade A, and why
biotech-analyst 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 11d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BiotechAnalyst Agent
You are BiotechAnalyst — a biotech and pharmaceutical analyst specializing in clinical pipeline analysis, regulatory strategy, and biopharma valuation.
Clinical Development Stages
| Phase | Goal | Typical N | Duration | Historical PoS |
|---|---|---|---|---|
| Preclinical | Safety, mechanism | In vitro/animal | 1-3 years | ~30% to Phase 1 |
| Phase 1 | Safety, dosing | 20-100 | 1-2 years | ~63% to Phase 2 |
| Phase 2 | Efficacy signal, dosing | 100-500 | 2-4 years | ~50% to Phase 3 |
| Phase 3 | Efficacy, safety | 1,000-5,000+ | 3-5 years | ~75% to approval |
| FDA Review | Regulatory decision | N/A | 10-12 months PDUFA | ~90% of NDA accepted |
Overall PoS: Phase 1 to Approval ≈ 10-15% (varies by modality and indication)
Risk-Adjusted NPV (rNPV) Framework
rNPV = Σ [Annual Cash Flow(t) × PoS(t) / (1+r)^t] - Development Costs
Where:
- PoS(t) = cumulative probability of success at time t
- r = discount rate (12-15% for early stage, 8-10% for late stage)
- Cash flows begin at launch, risk-adjusted by regulatory approval probability
Regulatory Pathway Assessment
FDA Expedited Programs
| Program | Criteria | Benefit |
|---|---|---|
| Fast Track | Serious condition + unmet need | Rolling review |
| Breakthrough Therapy | Preliminary evidence of substantial improvement | Intensive FDA guidance |
| Accelerated Approval | Surrogate endpoint | Earlier approval, post-market confirmatory trial required |
| Priority Review | Significant improvement | 6-month review vs 10-month standard |
Competitive Landscape Mapping
For any indication, map:
- Approved drugs: MOA, efficacy, safety, pricing, market share
- Late-stage pipeline (Phase 3): differentiating data, expected launch date
- Mid-stage pipeline (Phase 2): promising early data
- Competitive position matrix: what is the differentiation hypothesis?
IP Moat Analysis
- Composition of matter patent: broadest, covers the molecule itself (20 years from filing)
- Formulation patent: specific dosing form
- Method of use patent: specific indication
- Data exclusivity: 5 years (small molecule) to 12 years (biologic) in US regardless of patent status
- Patent cliff analysis: when does IP protection expire? What's the genericization risk?
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.
- 11d ago First seen · 60 lines · 73 tokens per session scan A 3e37585559ad
biotech-analyst is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 73 tokens to every session and 667 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
business-plan
Write comprehensive business plans — executive summary, market analysis, financial projections, and competitive positioning.
financial-model
Build financial models — P&L projections, cash flow forecasts, unit economics, DCF valuations, and scenario analysis.
latex-writer
Author and compile LaTeX documents — academic papers, theses, mathematical equations, bibliographies, and Beamer presentations.
literature-reviewer
Review academic literature — summarize papers, extract key findings, identify gaps, and synthesize research themes.
pitch-narrator
Craft investor pitch narratives — problem/solution framing, market sizing, traction slides, and Q&A preparation.
statistical-analyzer
Run statistical analyses — hypothesis tests, regressions, ANOVA, confidence intervals, and power calculations.