Agent skill

Investable View

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

This skill should be used when the user says "build the investable view for [TICKER]", "assemble the evidence layers", "synthesize everything into a view", "run the full framework on X", "what's the…

MITAuto-check passedBusiness, Finance & HR

Install Investable View

skills CLI
$ npx skills add hh-health-AI/healthcare-equity --skill investable-view -a claude-code

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

GitHub CLI
$ gh skill install hh-health-AI/healthcare-equity investable-view --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/skills/investable-view .claude/skills/investable-view && 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
investable-view
GitHub stars
101
Token cost
~1k tokens
SKILL.md length
446 words
Files
2 (incl. references)
Skills in repo
72
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user says "build the investable view for [TICKER]", "assemble the evidence layers", "synthesize everything into a view", "run the full framework on X", "what's the…

  • Works in 8 steps: Frame the name. From filings/IR: the 1–3… → Collect the layer briefs. Gather… → Interrogate each layer against the… → …
  • Says build the investable view for [TICKER]
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Assemble the evidence layers

What it does

Investable View is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user says "build the investable view for [TICKER]", "assemble the evidence layers", "synthesize everything into a view", "run the full framework on X", "what's the falsifiable thesis here", or wants clinical, regulatory, commercial, competitive, and financial evidence converted into one underwriting statement.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/investable-view-builder.md`).

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

When your agent uses it

  • Says build the investable view for [TICKER]
  • Assemble the evidence layers
  • Synthesize everything into a view
  • Run the full framework on X

Example prompts

  • “build the investable view for [TICKER]”
  • “assemble the evidence layers”
  • “synthesize everything into a view”
  • “/investable-view”

Workflow steps

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

  1. Frame the name. From filings/IR: the 1–3 revenue units that matter and the sub-sector — this selects the economic unit, dominant formula…
  2. Collect the layer briefs. Gather EVIDENCE BRIEF blocks from the engine plugins — clinical & regulatory(FDA) & competitive from…
  3. Interrogate each layer against the Investable View Builder's question / required model output / minimum evidence standard. Evidence below…
  4. Translate. Push every brief through the evidence-translation rules: which assumption is affected, whether it changes and why, and what the…
  5. Build scenarios on the sub-sector's primary discriminator: mechanism-distinct bear/base/bull with the matrix's boundary discipline…
  6. Reverse-engineer the price. Solve for the price-implied variable (implied PoA, patient-years, utilization, MCR, NRR, margin) using current…
  7. State the view in the template sentence — "At the current price, the market appears to imply [X]. Evidence [E] gives implication [status]…
  8. Hand off: falsifiers and early signals → sell-discipline (SELL-02 watchlist); catalysts → the calendar; the view → comms-compliance…

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

Investable View loads about 1k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 446 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

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). 446 words, ~1,003 tokens.

Download SKILL.mdSave it as .claude/skills/investable-view/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
investable-view
description
This skill should be used when the user says "build the investable view for [TICKER]", "assemble the evidence layers", "synthesize everything into a view", "run the full framework on X", "what's the falsifiable thesis here", or wants clinical, regulatory, commercial, competitive, and financial evidence converted into one underwriting statement.
metadata.version
0.1.0

Investable View (capstone)

Convert the five evidence layers into a falsifiable underwriting statement — the suite's terminal output. Method reference: ${CLAUDE_PLUGIN_ROOT}/skills/investable-view/references/investable-view-builder.md; framework tables in ../model-valuation/references/evidence-to-valuation.md.

Workflow

  1. Frame the name. From filings/IR: the 1–3 revenue units that matter and the sub-sector — this selects the economic unit, dominant formula, scenario discriminator, and price-implied variable from the framework tables. State them up front.
  2. Collect the layer briefs. Gather EVIDENCE BRIEF blocks from the engine plugins — clinical & regulatory(FDA) & competitive from clinical-catalysts; regulatory(access)/commercial(payment) from cms-reimbursement; commercial(adoption) from provider-adoption; commercial(volume/exposure) from procedure-exposure — plus the financial layer from filings/transcripts (Quartr/EDGAR). Reuse briefs already produced in the session, the project, or the evidence ledger (~/.claude/data/<plugin>/briefs/ — check all five plugins' ledgers, citing brief dates); commission missing material ones (or offer the evidence-assembler agent to run the sweep). A layer skipped as immaterial is declared, not silent.
  3. Interrogate each layer against the Investable View Builder's question / required model output / minimum evidence standard. Evidence below the minimum standard gets marked thin and generates a next-diligence item — not a silent assumption.
  4. Translate. Push every brief through the evidence-translation rules: which assumption is affected, whether it changes and why, and what the "not automatic" column forbids inferring. Every evidence update must document a model implication: CHANGE, NO_CHANGE, UNCERTAINTY_ONLY, or NEEDS_DATA. State the affected assumption, prior and proposed values (or explicitly unavailable), rationale, source/locator, and next observable. Do not force a numerical change or double-count evidence already in the model.
  5. Build scenarios on the sub-sector's primary discriminator: mechanism-distinct bear/base/bull with the matrix's boundary discipline, probabilities summing to 1.00 with ≥5% unknown-unknown residual, an early signal per scenario, and value/share per leaf (valuation formula for the economic unit).
  6. Reverse-engineer the price. Solve for the price-implied variable (implied PoA, patient-years, utilization, MCR, NRR, margin) using current price and consensus provided by the user — request them; never fabricate market data. Run the five-leg variant-perception test: explicit market-implied variable · evidence moves it · survives probability weighting · catalyst can resolve it · observable falsifier exists. Fewer than five legs = narrative, not thesis; say so.
  7. State the view in the template sentence — "At the current price, the market appears to imply [X]. Evidence [E] gives implication [status] for variable [Y]: [A] → [B], because [rationale]. That produces [Δ] under the base case. Catalyst [C] should resolve the disagreement within [horizon]. Observation [F] would falsify the thesis." — then deliver the full output skeleton (what matters now → facts → inference → model impact → variant view → disconfirming evidence → next diligence → confidence), showing the five layer briefs as an appendix so every input is auditable.
  8. Hand off: falsifiers and early signals → sell-discipline (SELL-02 watchlist); catalysts → the calendar; the view → comms-compliance (COMM-01 IC memo) when it goes to committee.

© 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 1 other file (references) in skills/investable-view of hh-health-AI/healthcare-equity.

  • SKILL.md
  • references/investable-view-builder.md

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Investable View 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.

Investable View compared with similar skills
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Earnings Report Analysisbyteseek/Mira275—~2.6kAutomated safety check: PassApache-2.0
Xvary Stock Researchsickn33/agentic-awesome-skills47k2 repos~952Automated safety check: PassMIT
Trading Ledgersickn33/agentic-awesome-skills47k1 repos~2.2kAutomated safety check: PassMIT

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Questions about Investable View

What does Investable View do?

This skill should be used when the user says "build the investable view for [TICKER]", "assemble the evidence layers", "synthesize everything into a view", "run the full framework on X", "what's the…. Investable View is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user says "build the investable view for [TICKER]", "assemble the evidence layers", "synthesize everything into a view", "run the full framework on X", "what's the falsifiable thesis here", or wants clinical, regulatory, commercial, competitive, and financial evidence converted into one underwriting statement.

When should I use Investable View?

Investable View fits situations like: says build the investable view for [TICKER]; assemble the evidence layers; synthesize everything into a view; run the full framework on X.

How do I install Investable View in Claude Code?

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

How do I install Investable View in Codex?

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

Can I use Investable View 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 investable-view -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/investable-view, .gemini/skills/investable-view, .github/skills/investable-view and .opencode/skills/investable-view in your project.

What does Investable View need to run?

SKILL.md names no scripts, command-line tools or credentials: Investable View is instructions for the agent only.

Does Investable View 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 Investable View 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 Investable View use?

Investable View 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 Investable View use?

About 1k tokens (SKILL.md is roughly 4k 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 1k tokens, read only when the agent opens those files.

What are the alternatives to Investable View?

Skills that share tags, products or a category with Investable View: Equity Research Core (byteseek/Mira, 275 stars), Weekly Trading Plan (zhu1090093659/dsh-trading, 238 stars), Earnings Report Analysis (byteseek/Mira, 275 stars) and Xvary Stock Research (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Investable View?

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.