Agent skill

Evidence Modules

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

A skill your agent uses for healthcare reimbursement, clinical catalysts, utilization, epidemiology, provider adoption or economics, procedure exposure, safety, IP/exclusivity, international access…

MITAuto-check passedBusiness, Finance & HR

Install Evidence Modules

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

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

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

At a glance

A skill your agent uses for healthcare reimbursement, clinical catalysts, utilization, epidemiology, provider adoption or economics, procedure exposure, safety, IP/exclusivity, international access…

  • Healthcare reimbursement
  • SKILL.md covers Select and bound the engine, Common procedure and Shared controls and output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Clinical catalysts

What it does

Evidence Modules is an agent skill from hh-health-AI/healthcare-equity. Use for healthcare reimbursement, clinical catalysts, utilization, epidemiology, provider adoption or economics, procedure exposure, safety, IP/exclusivity, international access, publications or SEC forensics. Produce source-bounded evidence briefs and model implications, not a generic overview.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including reference files (for example `agents/openai.yaml`, `references/clinical-catalysts.md` and `references/cms-reimbursement.md`).

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

When your agent uses it

  • Healthcare reimbursement
  • Clinical catalysts
  • Provider adoption
  • Procedure exposure

Example prompts

  • “/evidence-modules”

Requirements

  • Python 3

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

Evidence Modules loads about 1k tokens when it runs, and up to ~9.8k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 433 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
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
~9.8k

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). 433 words, ~1,012 tokens.

Download SKILL.mdSave it as .claude/skills/evidence-modules/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.
name
evidence-modules
description
Use for healthcare reimbursement, clinical catalysts, utilization, epidemiology, provider adoption or economics, procedure exposure, safety, IP/exclusivity, international access, publications or SEC forensics. Produce source-bounded evidence briefs and model implications, not a generic overview.

Healthcare Evidence Modules

Select and bound the engine

Start with the exact decision, entity, geography, period and required units. Read the relevant module reference below; choose more than one only when the question requires their combined evidence. These are portable module briefs adapted from the canonical integration map. They do not reproduce every original subskill or scoring rubric.

Show full SKILL.md (213 more words)Show less

Common procedure

Retrieve the appropriate primary record or dataset through available tools. Confirm entity aliases, record granularity, definitions, reporting/effective dates, filters, result caps and denominator. Preserve the exact source or query so another researcher can retrace the finding. Cross-check material interpretation with a second relevant source where possible, without falsely treating correlated sources as independent evidence.

Extract facts before interpreting them. Produce an evidence brief with coverage and limitations, model implication status, prior/proposed assumption or unavailable, rationale, forbidden inference, next observable and confidence. When multiple engines affect the same assumption, reconcile their findings in one change log rather than adding their effects independently. A limited sample supports a limited statement, not a population conclusion.

For exact upstream methods beyond these briefs, use authorized GitHub reads to inspect the current module's README and skill directory before selecting a file. Do not invent names, claim an unread prompt was followed, or execute imported code. A retrieval failure is a declared gap, never evidence of absence.

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 17 other files (references) in plugins/hh-health-ai-research/skills/evidence-modules of hh-health-AI/healthcare-equity.

  • SKILL.md
  • agents/openai.yaml
  • references/clinical-catalysts.md
  • references/cms-reimbursement.md
  • references/connector-routing.md
  • references/epi-demand.md
  • references/evidence-brief.md
  • references/evidence-catalysts.md
  • references/evidence-controls.md
  • references/fda-safety-signals.md
  • references/global-access.md
  • references/ip-exclusivity.md
  • references/procedure-exposure.md
  • references/provider-adoption.md
  • references/provider-economics.md
  • references/rx-utilization.md
  • references/sec-forensics.md
  • references/source-notes.md

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Evidence Modules 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.

Evidence Modules compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Evidence Modules this skillhh-health-AI/healthcare-equity101—~1kAutomated safety check: PassMIT
Workflow OrchestrationAnastasiyaW/codex-claude-code-config154—~3.8kAutomated safety check: PassMIT
Bio Copy Number Allele Specific Copy NumberGPTomics/bioSkills1.2k2 repos~4kAutomated safety check: PassMIT
Bio Copy Number Cnvkit AnalysisGPTomics/bioSkills1.2k2 repos~4.1kAutomated safety check: PassMIT
Bio Comparative Genomics Gene Tree Species Tree ReconciliationGPTomics/bioSkills1.2k2 repos~8.1kAutomated safety check: PassMIT
Bio Protac DegradersGPTomics/bioSkills1.2k1 repos~5kAutomated safety check: PassMIT

Similar skills

  • Workflow Orchestration

    AnastasiyaW/codex-claude-code-config

    Написание и запуск Claude Code dynamic workflows (JS-оркестратор субагентов).

    154 GitHub stars~3.8k tokensUpdated today
    Business, Finance & HRAuto-check passed
  • Infer integer allele-specific copy number, tumor purity, and ploidy from tumor sequencing by jointly modeling read depth (logR) and B-allele frequency (BAF) with ASCAT, Sequenza, FACETS, PURPLE, and…

    1.2k GitHub starsUsed in 2 repos~4k tokens
    Business, Finance & HRAuto-check passed
  • Detect somatic and germline copy number variants from targeted, exome, and whole-genome sequencing with CNVkit, a read-depth caller that combines on-target and off-target (antitarget) coverage.

    1.2k GitHub starsUsed in 2 repos~4.1k tokens
    Business, Finance & HRAuto-check passed
  • Reconcile gene trees against a species tree under probabilistic models of duplication, transfer, and loss (DTL) using ALE (Szöllősi 2013 amalgamated likelihood), GeneRax (Morel 2020 ML…

    1.2k GitHub starsUsed in 2 repos~8.1k tokens
    Business, Finance & HRAuto-check passed
  • Bio Protac Degraders

    GPTomics/bioSkills

    Designs PROTACs, molecular glues, and bivalent degraders with explicit handling of E3 ligase choice (VHL, CRBN, IAP, MDM2, KEAP1), linker design (length, composition, rigidity), ternary complex…

    1.2k GitHub starsUsed in 1 repo~5k tokens
    Business, Finance & HRAuto-check passed
  • Bio Proteomics Data Import

    GPTomics/bioSkills

    Loads mass-spectrometry data into Python/R and strips the search engine's bookkeeping before any number is trusted -- removes decoys (REV/Reverse), contaminants (CON/Potential contaminant)…

    1.2k GitHub starsUsed in 1 repo~4.5k tokens
    Business, Finance & HRAuto-check passed

More from hh-health-AI/healthcare-equity

All 72 skills in this repo
  • Adcom Label

    hh-health-AI/healthcare-equity

    This skill should be used when the user says "prep the AdCom for [asset]", "what will the advisory committee vote", "analyze the approved label", "label delta vs expectations", or within 48 hours of…

    101 GitHub stars~1.1k tokensUpdated 3 days ago
    Auto-check passed
  • Biomedical Claim Checker

    hh-health-AI/healthcare-equity

    A skill your agent uses to audit whether medical or scientific claims are supported by their citations, verify references, assess AI-generated biomedical text or identify overstatement in a press…

    101 GitHub stars~741 tokensUpdated 3 days ago
    Auto-check passed
  • Biomedical Claim Checker

    hh-health-AI/healthcare-equity

    A skill your agent uses when checking whether a medical or scientific claim is supported by its cited paper, verifying references, auditing an AI-generated biomedical answer or examining…

    101 GitHub stars~816 tokensUpdated 3 days ago
    Auto-check passed
  • Biosimilar Erosion

    hh-health-AI/healthcare-equity

    This skill should be used when the user asks about "biosimilar erosion", "Purple Book", "biologic exclusivity", "interchangeability", "how fast will [biologic] erode", "erosion curve", or needs the…

    101 GitHub stars~753 tokensUpdated 3 days ago
    Auto-check passed
  • Biotech Catalyst Radar

    hh-health-AI/healthcare-equity

    A skill your agent uses for a defined biotech trial watchlist, registry-version comparisons, catalyst calendars or changed enrollment, status and completion estimates.

    101 GitHub stars~760 tokensUpdated 3 days ago
    Auto-check passed
  • Biotech Catalyst Radar

    hh-health-AI/healthcare-equity

    A skill your agent uses to monitor a defined biotech trial watchlist, compare registry versions, build a catalyst calendar or explain changed enrollment, status or completion estimates.

    101 GitHub stars~846 tokensUpdated 3 days ago
    Auto-check passed

Questions about Evidence Modules

What does Evidence Modules do?

A skill your agent uses for healthcare reimbursement, clinical catalysts, utilization, epidemiology, provider adoption or economics, procedure exposure, safety, IP/exclusivity, international access…. Evidence Modules is an agent skill from hh-health-AI/healthcare-equity. Use for healthcare reimbursement, clinical catalysts, utilization, epidemiology, provider adoption or economics, procedure exposure, safety, IP/exclusivity, international access, publications or SEC forensics.

When should I use Evidence Modules?

Evidence Modules fits situations like: healthcare reimbursement; clinical catalysts; provider adoption; procedure exposure.

How do I install Evidence Modules in Claude Code?

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

How do I install Evidence Modules in Codex?

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

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

What does Evidence Modules need to run?

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

Does Evidence Modules 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 Evidence Modules 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 Evidence Modules use?

Evidence Modules 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 Evidence Modules 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 8.8k tokens, read only when the agent opens those files.

What are the alternatives to Evidence Modules?

Skills that share tags, products or a category with Evidence Modules: Workflow Orchestration (AnastasiyaW/codex-claude-code-config, 154 stars), Bio Copy Number Allele Specific Copy Number (GPTomics/bioSkills, 1.2k stars), Bio Copy Number Cnvkit Analysis (GPTomics/bioSkills, 1.2k stars) and Bio Comparative Genomics Gene Tree Species Tree Reconciliation (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Evidence Modules?

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.