Agent skill

Biotech Rnpv Modeler

by hh-health-AI in hh-health-AI/healthcare-equity

A skill your agent uses to construct or audit biotech risk-adjusted NPV, development-cost timing, commercial cash flows, outcome scenarios and equity-value bridges.

MITAuto-check passedBusiness, Finance & HR

Install Biotech Rnpv Modeler

skills CLI
$ npx skills add hh-health-AI/healthcare-equity --skill biotech-rnpv-modeler -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hh-health-AI/healthcare-equity biotech-rnpv-modeler --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/hh-health-ai-research/skills/biotech-rnpv-modeler .claude/skills/biotech-rnpv-modeler && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
biotech-rnpv-modeler
GitHub stars
101
Token cost
~910 tokens
SKILL.md length
423 words
Files
6 (incl. references)
Skills in repo
72
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses to construct or audit biotech risk-adjusted NPV, development-cost timing, commercial cash flows, outcome scenarios and equity-value bridges.

  • Works in 8 steps: Specify asset, indication, geography,… → Separate sourced observations from… → Build signed, end-of-year cash-flow… → …
  • Audit biotech risk-adjusted NPV
  • SKILL.md covers Workflow, Output and Shared controls and output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Biotech Rnpv Modeler is an agent skill from hh-health-AI/healthcare-equity. Use to construct or audit biotech risk-adjusted NPV, development-cost timing, commercial cash flows, outcome scenarios and equity-value bridges. Require explicit probability and unit assumptions; avoid double weighting and do not present scenarios as validated forecasts or personal trading instructions.

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/connector-routing.md` and `references/evidence-brief.md`).

It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.

When your agent uses it

  • Audit biotech risk-adjusted NPV
  • Development-cost timing
  • Commercial cash flows
  • Outcome scenarios and equity-value bridges

Example prompts

  • “/biotech-rnpv-modeler”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Specify asset, indication, geography, valuation date, currency, cash-flow units and the economic ownership being valued. Separate assets…
  2. Separate sourced observations from commercial, cost, launch, exclusivity, tax, probability and discount-rate assumptions. Trace clinical…
  3. Build signed, end-of-year cash-flow rows. Assign each row its unconditional probability of being incurred or received. Current committed…
  4. Use unlevered after-tax cash flows for asset/enterprise valuation. Explicitly address royalties, partner shares, capex, working capital…
  5. Calculate each row as PV = signed_cash_flow * unconditional_probability / (1 + discount_rate) years_from_valuation. State timing…
  6. Keep mutually exclusive scenario probabilities separate from within-scenario row probabilities. Explain what uncertainty each layer…
  7. Use an actual calculation tool and independently recompute at least one cost row, one revenue row and the equity bridge. Show formulas and…
  8. Stress probability, launch delay, peak sales, market penetration, margins, exclusivity, financing and discount rate with explicit inputs…

What it can do on your machine

Read from SKILL.md and the folder at commit 6c7bda8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Biotech Rnpv Modeler loads about 910 tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 423 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~910
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hh-health-AI/healthcare-equity at commit 6c7bda8, republished under its MIT licence (© hh-health-AI). 423 words, ~910 tokens.

Download SKILL.mdSave it as .claude/skills/biotech-rnpv-modeler/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
biotech-rnpv-modeler
description
Use to construct or audit biotech risk-adjusted NPV, development-cost timing, commercial cash flows, outcome scenarios and equity-value bridges. Require explicit probability and unit assumptions; avoid double weighting and do not present scenarios as validated forecasts or personal trading instructions.

Biotech rNPV Modeler

Workflow

  1. Specify asset, indication, geography, valuation date, currency, cash-flow units and the economic ownership being valued. Separate assets and partnered economics. Use bear, base and bull for decision-facing work, stating which assumptions distinguish them.
  2. Separate sourced observations from commercial, cost, launch, exclusivity, tax, probability and discount-rate assumptions. Trace clinical evidence to a specific changed, unchanged, uncertain or missing input. Do not invent a prior model when none was supplied.
  3. Build signed, end-of-year cash-flow rows. Assign each row its unconditional probability of being incurred or received. Current committed costs normally have probability one; later development costs depend on reaching the stage, not on ultimate approval. Distinguish conditional stage success probabilities from their cumulative product.
  4. Use unlevered after-tax cash flows for asset/enterprise valuation. Explicitly address royalties, partner shares, capex, working capital, taxes, maintenance/development costs and post-exclusivity erosion. Include terminal or residual cash flow only as an explicit, justified input; do not hide it inside a growth assumption.
  5. Calculate each row as PV = signed_cash_flow * unconditional_probability / (1 + discount_rate) ** years_from_valuation. State timing convention. Sum rows for asset value. Add cash and nonoperating assets, subtract debt and separately valued unallocated overhead once, and reconcile to equity. Divide by matching-unit diluted shares. Show financing/dilution scenarios when cash runway matters.
  6. Keep mutually exclusive scenario probabilities separate from within-scenario row probabilities. Explain what uncertainty each layer represents so the same approval risk is not discounted twice. Do not multiply a probability-weighted rNPV output by PoS again.
  7. Use an actual calculation tool and independently recompute at least one cost row, one revenue row and the equity bridge. Show formulas and input lineage. The upstream hh-research calculator is optional external software, not a tool installed by this plugin.
  8. Stress probability, launch delay, peak sales, market penetration, margins, exclusivity, financing and discount rate with explicit inputs. Where an input is absent, supply a clearly labeled illustrative scenario or mark valuation incomplete rather than presenting a fabricated fair value.
Show full SKILL.md (96 more words)Show less

Output

Scope and units; sourced inputs versus assumptions; scenario assumptions; cash-flow audit; asset-to-equity bridge; sensitivities; dominant drivers; disconfirming evidence; financing risks; confidence. Use the host's spreadsheet capability for a requested workbook and verify actual formulas and output. Calculated precision does not validate clinical or commercial assumptions.

Shared controls and output

Read evidence controls before executing this workflow and use the connector map for source selection. Use the evidence brief when producing investment-related evidence. The workflows use the host's available tools; upstream Python utilities and the local MCP server are not included or deployed by this plugin.

© hh-health-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in plugins/hh-health-ai-research/skills/biotech-rnpv-modeler of hh-health-AI/healthcare-equity.

  • SKILL.md
  • agents/openai.yaml
  • references/connector-routing.md
  • references/evidence-brief.md
  • references/evidence-controls.md
  • references/source-notes.md

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Biotech Rnpv Modeler next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Biotech Rnpv Modeler compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Biotech Rnpv Modeler this skillhh-health-AI/healthcare-equity101—~910Automated safety check: PassMIT
Tushare Datazillionare/zillionare3222 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle878—~5.9kAutomated safety check: PassMIT
Polyclawchainstacklabs/polyclaw3591 repos~2kAutomated safety check: PassApache-2.0
Markdownfacioquo/stock-indicators-dotnet1.2k—~812Automated safety check: PassApache-2.0

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Questions about Biotech Rnpv Modeler

What does Biotech Rnpv Modeler do?

A skill your agent uses to construct or audit biotech risk-adjusted NPV, development-cost timing, commercial cash flows, outcome scenarios and equity-value bridges. Biotech Rnpv Modeler is an agent skill from hh-health-AI/healthcare-equity. Use to construct or audit biotech risk-adjusted NPV, development-cost timing, commercial cash flows, outcome scenarios and equity-value bridges.

When should I use Biotech Rnpv Modeler?

Biotech Rnpv Modeler fits situations like: audit biotech risk-adjusted NPV; development-cost timing; commercial cash flows; outcome scenarios and equity-value bridges.

How do I install Biotech Rnpv Modeler in Claude Code?

Run `npx skills add hh-health-AI/healthcare-equity --skill biotech-rnpv-modeler -a claude-code`. Or copy the skill folder (plugins/hh-health-ai-research/skills/biotech-rnpv-modeler in hh-health-AI/healthcare-equity) into .claude/skills/biotech-rnpv-modeler in your project. Claude Code loads it when a task matches its description.

How do I install Biotech Rnpv Modeler in Codex?

Run `npx skills add hh-health-AI/healthcare-equity --skill biotech-rnpv-modeler -a codex`. Or copy the skill folder (plugins/hh-health-ai-research/skills/biotech-rnpv-modeler in hh-health-AI/healthcare-equity) into .agents/skills/biotech-rnpv-modeler in your project. Codex loads it when a task matches its description.

Can I use Biotech Rnpv Modeler in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hh-health-AI/healthcare-equity --skill biotech-rnpv-modeler -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/biotech-rnpv-modeler, .gemini/skills/biotech-rnpv-modeler, .github/skills/biotech-rnpv-modeler and .opencode/skills/biotech-rnpv-modeler in your project.

What does Biotech Rnpv Modeler need to run?

SKILL.md names no scripts, command-line tools or credentials: Biotech Rnpv Modeler is instructions for the agent only. Our summary lists: Python 3.

Does Biotech Rnpv Modeler access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Biotech Rnpv Modeler safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Biotech Rnpv Modeler use?

Biotech Rnpv Modeler is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Biotech Rnpv Modeler use?

About 910 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Biotech Rnpv Modeler?

Skills that share tags, products or a category with Biotech Rnpv Modeler: Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Biotech Rnpv Modeler?

hh-health-AI (a GitHub user) maintains it in hh-health-AI/healthcare-equity, which has 101 GitHub stars. The repository holds 72 skills in this directory. The repository was last updated on October 8, 2026.

Source: hh-health-AI/healthcare-equity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.