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tamdogood/builder-essential-skills
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A skill your agent uses for a biomedical evidence question, PICO search, evidence table, critical appraisal, conflicting-evidence synthesis or plain-language explanation.
Install Medical Evidence Skills
$ npx skills add hh-health-AI/healthcare-equity --skill medical-evidence-skills -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hh-health-AI/healthcare-equity medical-evidence-skills --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/medical-evidence-skills .claude/skills/medical-evidence-skills && 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 "medical-evidence-skills" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/medical-evidence-skills into .claude/skills/medical-evidence-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-evidence-skills", 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/medical-evidence-skillsType 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 medical-evidence-skills -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hh-health-AI/healthcare-equity medical-evidence-skills --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/medical-evidence-skills .agents/skills/medical-evidence-skills && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "medical-evidence-skills" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/medical-evidence-skills into .agents/skills/medical-evidence-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-evidence-skills", 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 medical-evidence-skills -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hh-health-AI/healthcare-equity medical-evidence-skills --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/medical-evidence-skills .cursor/skills/medical-evidence-skills && 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 "medical-evidence-skills" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/medical-evidence-skills into .cursor/skills/medical-evidence-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-evidence-skills", 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/medical-evidence-skills--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 medical-evidence-skills -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hh-health-AI/healthcare-equity medical-evidence-skills --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/medical-evidence-skills .gemini/skills/medical-evidence-skills && 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 "medical-evidence-skills" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/medical-evidence-skills into .gemini/skills/medical-evidence-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-evidence-skills", 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 medical-evidence-skillsInstalls 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 medical-evidence-skills -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/medical-evidence-skills .github/skills/medical-evidence-skills && 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 "medical-evidence-skills" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/medical-evidence-skills into .github/skills/medical-evidence-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-evidence-skills", 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 medical-evidence-skills -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 medical-evidence-skills --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/medical-evidence-skills .opencode/skills/medical-evidence-skills && 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 "medical-evidence-skills" agent skill from https://github.com/hh-health-AI/healthcare-equity/tree/main/plugins/hh-health-ai-research/skills/medical-evidence-skills into .opencode/skills/medical-evidence-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-evidence-skills", 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
medical-evidence-skills- GitHub stars
- 101
- Token cost
- ~802 tokens
- SKILL.md length
- 372 words
- Files
- 6 (incl. references)
- Skills in repo
- 72
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses for a biomedical evidence question, PICO search, evidence table, critical appraisal, conflicting-evidence synthesis or plain-language explanation.
- Works in 7 steps: Define population, intervention or… → Search the relevant primary evidence… → Read the relevant full text, protocol,… → …
- A biomedical evidence question
- SKILL.md covers Workflow, Evidence table and Shared controls and output
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Medical Evidence Skills is an agent skill from hh-health-AI/healthcare-equity. Use for a biomedical evidence question, PICO search, evidence table, critical appraisal, conflicting-evidence synthesis or plain-language explanation. Preserve source passages and uncertainty; do not turn research support into a personalized treatment decision.
Its SKILL.md is about 800 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 Writing & Content, covering Plain language and style rules. The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.
When your agent uses it
- A biomedical evidence question
- Critical appraisal
- Conflicting-evidence synthesis
- Plain-language explanation
Example prompts
- “/medical-evidence-skills”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Define population, intervention or exposure, comparator, outcomes, setting and date cutoff. State whether the requested answer is…
- Search the relevant primary evidence through PubMed, ClinicalTrials.gov and other available authoritative sources. Log exact query…
- Read the relevant full text, protocol, supplement and registry where available. Disclose abstract-only access. Record study design…
- Make one source record per actual document and link reports belonging to the same study or cohort. Create a bounded claim for each…
- Appraise design limitations, bias, missing data, precision, consistency and applicability. Differentiate statistical significance…
- Check each claim against its source and search boundary. Use the claim-checker workflow for a citation audit. Corrections or retractions…
- Deliver an answer, compact evidence table, interpretation, limitations and next evidence needed. Use accessible language suitable for the…
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
Medical Evidence Skills loads about 802 tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 372 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). 372 words, ~802 tokens.
Download SKILL.mdSave it as
.claude/skills/medical-evidence-skills/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- medical-evidence-skills
- description
- Use for a biomedical evidence question, PICO search, evidence table, critical appraisal, conflicting-evidence synthesis or plain-language explanation. Preserve source passages and uncertainty; do not turn research support into a personalized treatment decision.
Medical Evidence Skills
Workflow
- Define population, intervention or exposure, comparator, outcomes, setting and date cutoff. State whether the requested answer is explanatory, evidence-mapping or decision-support research. Proceed with a stated scope when missing details are nonblocking.
- Search the relevant primary evidence through PubMed, ClinicalTrials.gov and other available authoritative sources. Log exact query, database, date, filters, returned count, reported total and caps. Search for negative and conflicting results. Use the literature-review workflow for a substantial screening process.
- Read the relevant full text, protocol, supplement and registry where available. Disclose abstract-only access. Record study design, prespecification, analysis population, endpoint/timepoint, effect size, uncertainty, harms and applicability. Do not fill unreported methods from a generic study template.
- Make one source record per actual document and link reports belonging to the same study or cohort. Create a bounded claim for each material conclusion, with a precise locator and a short supporting passage. Separate what the source states from independent corroboration or your inference.
- Appraise design limitations, bias, missing data, precision, consistency and applicability. Differentiate statistical significance, clinical importance and certainty. Do not average incompatible outcomes or populations to create spurious consensus. Explain unresolved conflicts and what source would resolve them.
- Check each claim against its source and search boundary. Use the claim-checker workflow for a citation audit. Corrections or retractions, when relevant, belong in the assessment; an accessible DOI alone is not verification.
- Deliver an answer, compact evidence table, interpretation, limitations and next evidence needed. Use accessible language suitable for the audience. Add investment interpretation only when requested. Confidence refers to the strength of this synthesis, not the probability that a patient will benefit.
Show full SKILL.md (96 more words)Show less
Evidence table
Include study/record ID, population, intervention/comparator, endpoint/timepoint, effect and uncertainty, harms, design limitations, source locator and applicability. Leave missing entries explicitly missing. The upstream CLI can validate a supplied evidence packet but cannot independently determine scientific truth; this plugin does not run or bundle it.
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/medical-evidence-skills 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
Medical Evidence Skills 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 |
|---|---|---|---|---|---|---|
| Medical Evidence Skills this skillhh-health-AI/healthcare-equity | 101 | — | ~802 | Automated safety check: Pass | MIT | |
| Repo System Maptamdogood/builder-essential-skills | 222 | — | ~3k | Automated safety check: Notes | MIT | |
| G2brycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~4.5k | Automated safety check: Pass | Custom licence | |
| Aaai Writing Stylebrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~835 | Automated safety check: Pass | MIT | |
| Pnasnexus Significancebrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Asd Ste100danyuchn/asd-ste100-skill | 4.3k | — | ~4.1k | Automated safety check: Pass | MIT |
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G2
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A skill your agent uses when revising an AAAI manuscript for broad-AI-audience fit, a first-page contribution statement legible to non-specialist Phase-1 reviewers, two-column readability, concise…
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A skill your agent uses to write the PNAS Nexus Significance Statement — between 50 and 120 words, in plain language for a broad scientific audience, explaining why the work matters.
Asd Ste100
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A skill your agent uses when English text must be parsed without a human to resolve ambiguity — tool descriptions, error messages, inter-agent instructions, system prompts, status reports — and…
- Official
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Categories
Questions about Medical Evidence Skills
What does Medical Evidence Skills do?
A skill your agent uses for a biomedical evidence question, PICO search, evidence table, critical appraisal, conflicting-evidence synthesis or plain-language explanation. Medical Evidence Skills is an agent skill from hh-health-AI/healthcare-equity. Use for a biomedical evidence question, PICO search, evidence table, critical appraisal, conflicting-evidence synthesis or plain-language explanation.
When should I use Medical Evidence Skills?
Medical Evidence Skills fits situations like: A biomedical evidence question; critical appraisal; conflicting-evidence synthesis; plain-language explanation.
How do I install Medical Evidence Skills in Claude Code?
Run `npx skills add hh-health-AI/healthcare-equity --skill medical-evidence-skills -a claude-code`. Or copy the skill folder (plugins/hh-health-ai-research/skills/medical-evidence-skills in hh-health-AI/healthcare-equity) into .claude/skills/medical-evidence-skills in your project. Claude Code loads it when a task matches its description.
How do I install Medical Evidence Skills in Codex?
Run `npx skills add hh-health-AI/healthcare-equity --skill medical-evidence-skills -a codex`. Or copy the skill folder (plugins/hh-health-ai-research/skills/medical-evidence-skills in hh-health-AI/healthcare-equity) into .agents/skills/medical-evidence-skills in your project. Codex loads it when a task matches its description.
Can I use Medical Evidence Skills 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 medical-evidence-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/medical-evidence-skills, .gemini/skills/medical-evidence-skills, .github/skills/medical-evidence-skills and .opencode/skills/medical-evidence-skills in your project.
What does Medical Evidence Skills need to run?
SKILL.md names no scripts, command-line tools or credentials: Medical Evidence Skills is instructions for the agent only. Our summary lists: Python 3.
Does Medical Evidence Skills 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 Medical Evidence Skills 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 Medical Evidence Skills use?
Medical Evidence Skills 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 Medical Evidence Skills use?
About 802 tokens (SKILL.md is roughly 3.2k 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 Medical Evidence Skills?
Skills that share tags, products or a category with Medical Evidence Skills: Repo System Map (tamdogood/builder-essential-skills, 222 stars), G2 (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars), Aaai Writing Style (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Pnasnexus Significance (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Medical Evidence Skills?
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.