Equity Research Core
byteseek/Mira
Run Mira's core single-equity research workflow across fundamentals, financial quality, macro context, technical pricing, events, and thesis framing.
A skill your agent uses to build a falsifiable healthcare investment view from clinical, regulatory, commercial, competitive and financial evidence; assemble an underwriting thesis with explicit…
Install Investable View
$ npx skills add hh-health-AI/healthcare-equity --skill investable-view -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hh-health-AI/healthcare-equity investable-view --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/investable-view .claude/skills/investable-view && rm -rf skills-srcUse ~/.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/
Install the "investable-view" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/investable-view into .claude/skills/investable-view/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investable-view", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/investable-viewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hh-health-AI/healthcare-equity --skill investable-view -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hh-health-AI/healthcare-equity investable-view --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/hh-health-ai-research/skills/investable-view .agents/skills/investable-view && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "investable-view" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/investable-view into .agents/skills/investable-view/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investable-view", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hh-health-AI/healthcare-equity --skill investable-view -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hh-health-AI/healthcare-equity investable-view --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/hh-health-ai-research/skills/investable-view .cursor/skills/investable-view && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "investable-view" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/investable-view into .cursor/skills/investable-view/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investable-view", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hh-health-AI/healthcare-equity.git --path plugins/hh-health-ai-research/skills/investable-view--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hh-health-AI/healthcare-equity --skill investable-view -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hh-health-AI/healthcare-equity investable-view --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/hh-health-ai-research/skills/investable-view .gemini/skills/investable-view && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "investable-view" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/investable-view into .gemini/skills/investable-view/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investable-view", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hh-health-AI/healthcare-equity investable-viewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hh-health-AI/healthcare-equity --skill investable-view -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/hh-health-ai-research/skills/investable-view .github/skills/investable-view && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "investable-view" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/investable-view into .github/skills/investable-view/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investable-view", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hh-health-AI/healthcare-equity --skill investable-view -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hh-health-AI/healthcare-equity investable-view --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/hh-health-ai-research/skills/investable-view .opencode/skills/investable-view && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "investable-view" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/investable-view into .opencode/skills/investable-view/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investable-view", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
investable-view- GitHub stars
- 101
- Token cost
- ~1k tokens
- SKILL.md length
- 507 words
- Files
- 6 (incl. references)
- Skills in repo
- 72
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses to build a falsifiable healthcare investment view from clinical, regulatory, commercial, competitive and financial evidence; assemble an underwriting thesis with explicit…
- Works in 8 steps: Frame the economic unit. Resolve the… → Assemble five evidence layers. Gather… → Test the evidence boundary. For each… → …
- Build a falsifiable healthcare investment view from clinical
- SKILL.md covers Workflow and Shared controls and output
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Investable View is an agent skill from hh-health-AI/healthcare-equity. Use to build a falsifiable healthcare investment view from clinical, regulatory, commercial, competitive and financial evidence; assemble an underwriting thesis with explicit model implications, scenarios and market-implied expectations.
Its SKILL.md is about 1k 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 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
- Build a falsifiable healthcare investment view from clinical
- Competitive and financial evidence
- Assemble an underwriting thesis with explicit model implications
- Scenarios and market-implied expectations
Example prompts
- “/investable-view”
Requirements
- Python 3
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Frame the economic unit. Resolve the company and one to three material revenue units from filings. State subsector, valuation date…
- Assemble five evidence layers. Gather clinical, regulatory, commercial, competitive and financial briefs. Reuse dated evidence already…
- Test the evidence boundary. For each material finding, verify the primary source and whether it supports the precise population, endpoint…
- Translate each finding. Use CHANGE, NO_CHANGE, UNCERTAINTY_ONLY or NEEDS_DATA for every affected assumption. Record prior -> proposed…
- Build mechanism-distinct scenarios. Show bear, base and bull with early signals, swing assumptions and value per share where sufficient…
- Reverse-engineer the actual price. Obtain a timestamped current price through an available tool or dated user input. Reconcile shares and…
- Apply the five-leg test. A differentiated thesis needs an explicit market-implied variable, evidence that challenges it, a difference…
- State the view. Use: “At the observed price, the market appears to imply [X]. Evidence [E] gives [implication status] for [Y]: [prior] ->…
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 ~3.2k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 507 words of instructions outside code blocks.
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). 507 words, ~1,018 tokens.
Download SKILL.mdSave it as
.claude/skills/investable-view/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- investable-view
- description
- Use to build a falsifiable healthcare investment view from clinical, regulatory, commercial, competitive and financial evidence; assemble an underwriting thesis with explicit model implications, scenarios and market-implied expectations.
Investable View
Workflow
- Frame the economic unit. Resolve the company and one to three material revenue units from filings. State subsector, valuation date, currency, units, dominant revenue/cash-flow formula and the variable most likely to separate scenarios.
- Assemble five evidence layers. Gather clinical, regulatory, commercial, competitive and financial briefs. Reuse dated evidence already available; retrieve missing material evidence through actual tools. The twelve evidence modules provide specialized inputs. Declare skipped, immaterial, thin or unavailable layers. Do not count a sponsor release, registry entry and paper from the same trial as three independent successes.
- Test the evidence boundary. For each material finding, verify the primary source and whether it supports the precise population, endpoint, geography, period or economic claim. Seek failed precedents and disconfirming data. Record limitations instead of concealing them in a point estimate.
- Translate each finding. Use CHANGE, NO_CHANGE, UNCERTAINTY_ONLY or NEEDS_DATA for every affected assumption. Record prior -> proposed value, or unavailable, reason, source/locator, evidence already reflected and next observable. Do not force a forecast change.
- Build mechanism-distinct scenarios. Show bear, base and bull with early signals, swing assumptions and value per share where sufficient data exist. Preserve the source framework's explicit unknown-unknown residual of at least 5%; all mutually exclusive leaf probabilities, including that residual, must sum to 1.00. Explain the residual rather than hiding it in another case. These are analyst assumptions, not calibrated success forecasts. Use a scenario range or mark valuation incomplete when inputs are missing.
- Reverse-engineer the actual price. Obtain a timestamped current price through an available tool or dated user input. Reconcile shares and enterprise-to-equity bridge. Solve for an interpretable implied variable such as approval probability, treated patient-years, utilization, medical-cost ratio, retention or margin, explaining the equation and other fixed assumptions. Consensus is a separate sourced input; do not invent it. Without price or necessary model inputs, deliver a conditional view and mark this step unavailable.
- Apply the five-leg test. A differentiated thesis needs an explicit market-implied variable, evidence that challenges it, a difference surviving probability weighting, a catalyst that can resolve it and an observable falsifier. Report missing legs. A narrative without these is not a fully underwritten thesis.
- State the view. Use: “At the observed price, the market appears to imply [X]. Evidence [E] gives [implication status] for [Y]: [prior] -> [proposed], because [reason]. This implies [valuation effect] under [case]. [Catalyst] may resolve the disagreement by [dated window]. [Observable] would falsify the view.” Only fill values supported by the analysis. Distinguish confirmed dates from estimates.
Show full SKILL.md (87 more words)Show less
Deliver the conclusion, evidence/inference/model bridge, scenario matrix, market-implied analysis, strongest countercase, falsifiers and confidence, with the five layer briefs as an appendix. Hand off a watchlist or IC draft only when requested; no automatic monitoring or distribution.
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/investable-view 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
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Investable View this skillhh-health-AI/healthcare-equity | 101 | — | ~1k | Automated safety check: Pass | MIT | |
| Equity Research Corebyteseek/Mira | 275 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Weekly Trading Planzhu1090093659/dsh-trading | 238 | — | ~2k | Automated safety check: Pass | Custom licence | |
| Earnings Report Analysisbyteseek/Mira | 275 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Xvary Stock Researchsickn33/agentic-awesome-skills | 47k | 2 repos | ~952 | Automated safety check: Pass | MIT | |
| Research Report Interpretationbyteseek/Mira | 275 | — | ~3k | Automated safety check: Pass | Apache-2.0 |
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Related
Questions about Investable View
What does Investable View do?
A skill your agent uses to build a falsifiable healthcare investment view from clinical, regulatory, commercial, competitive and financial evidence; assemble an underwriting thesis with explicit…. Investable View is an agent skill from hh-health-AI/healthcare-equity. Use to build a falsifiable healthcare investment view from clinical, regulatory, commercial, competitive and financial evidence; assemble an underwriting thesis with explicit model implications, scenarios and market-implied expectations.
When should I use Investable View?
Investable View fits situations like: build a falsifiable healthcare investment view from clinical; competitive and financial evidence; assemble an underwriting thesis with explicit model implications; scenarios and market-implied expectations.
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 (plugins/hh-health-ai-research/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 (plugins/hh-health-ai-research/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. Our summary lists: Python 3.
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 4.1k 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 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.