Clinical Trial Analyst
hh-health-AI/healthcare-equity
A skill your agent uses to interpret a trial or readout and reconcile registry, protocol, publication and press release; examine endpoints, multiplicity, missing data, safety and applicability.
A skill your agent uses when writing a medical or health news story — clinical research breakthroughs, public health alerts, drug approvals, epidemiology, health policy, patient stories, risk…
$ npx skills add asgard-ai-platform/skills --skill med-health -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills med-health --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/med-health .claude/skills/med-health && 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 "med-health" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/med-health into .claude/skills/med-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "med-health", 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/asgard-ai-platform/skills/tree/main/med-healthType 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 asgard-ai-platform/skills --skill med-health -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills med-health --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/med-health .agents/skills/med-health && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "med-health" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/med-health into .agents/skills/med-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "med-health", 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 asgard-ai-platform/skills --skill med-health -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills med-health --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/med-health .cursor/skills/med-health && 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 "med-health" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/med-health into .cursor/skills/med-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "med-health", 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/asgard-ai-platform/skills.git --path med-health--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 asgard-ai-platform/skills --skill med-health -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills med-health --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/med-health .gemini/skills/med-health && 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 "med-health" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/med-health into .gemini/skills/med-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "med-health", 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 asgard-ai-platform/skills med-healthInstalls 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 asgard-ai-platform/skills --skill med-health -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/med-health .github/skills/med-health && 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 "med-health" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/med-health into .github/skills/med-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "med-health", 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 asgard-ai-platform/skills --skill med-health -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills med-health --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/med-health .opencode/skills/med-health && 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 "med-health" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/med-health into .opencode/skills/med-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "med-health", 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.
med-healthA skill your agent uses when writing a medical or health news story — clinical research breakthroughs, public health alerts, drug approvals, epidemiology, health policy, patient stories, risk…
Med Health is an agent skill from asgard-ai-platform/skills. Use when writing a medical or health news story — clinical research breakthroughs, public health alerts, drug approvals, epidemiology, health policy, patient stories, risk communication — from research papers, press releases, health authority statements, or interviews. Specializes the med-news-reporter workflow for health-beat discipline: relative risk framing, absolute baseline inclusion, evidence-hierarchy verification, deidentification protocol, and WHO suicide-reporting compliance. Triggers on phrases like…
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `examples/sample_input.md`, `examples/sample_output.md` and `references/ethics_and_law.md`).
It sits in Writing & Content, covering Copywriting and Clinical and healthcare research. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Med Health loads about 3.8k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 209 tokens; SKILL.md has 1,532 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.
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.
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 1,532 words, ~3,814 tokens.
.claude/skills/med-health/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.This skill specializes med-news-reporter for the medical/health beat. Read med-news-reporter first for the general 6-step workflow (type selection, material audit, fact-check, balance, ethics, literacy). This file adds health-specific discipline on top.
Distilled from health-journalism curricula at Stanford Medicine+Muse, Johns Hopkins SFDH, AHCJ (Association of Health Care Journalists), Columbia Mailman, NTU Public Health, and Taiwan health-media ethics standards. Covers five sub-types: research breakthroughs / public-health alerts / drug approval / health policy / patient stories. Core challenge: translating statistical evidence for public understanding without misrepresenting risk or false certainty.
IRON LAW: Relative Risk Without Absolute Risk Is Misleading
Every medical claim in the form "X% increase/decrease in risk" MUST cite
absolute baseline numbers: baseline incidence, NNT (Number Needed to Treat),
absolute risk reduction, or absolute risk change. "50% reduction in risk of
heart attack" is meaningless without "from 4 in 1000 to 2 in 1000 per year".
LLM default: lead with the relative risk (sounds dramatic), omit baseline.
Readers then overestimate the clinical significance. Override that default
by naming the denominator first, then the percentage.Why this is non-obvious: "50% reduction" sounds much more impactful than "2 fewer heart attacks per 1000 per year", yet both describe the same result. Research-to-media translation routinely inverts this — the press release says "50% reduction", the outlet runs that number, and readers assume a larger clinical effect than evidence supports. This is the single most common source of health-news overclaim.
Rationalization Table — these justifications DO NOT override the Iron Law:
| Claude might think... | Why it's still a violation |
|---|---|
| "'50% reduction' is the research result, I'll just quote it" | Quoting a relative-risk figure without the absolute baseline is relaying an incomplete fact. The journal paper has the baseline; the press release usually does not. Cite both or cite neither + flag. |
| "The baseline is in the methods section, readers can look it up" | Readers will not. The article is the only context they read. Omitting it is misleading by omission, not just incomplete. |
| "Adding the absolute number makes the story less dramatic" | That is the point. Accuracy is not a bug. If the absolute effect is small, the reader deserves to know. |
| "NNT is too technical for general audiences" | True, and it's also the clearest way to show clinical significance. Use NNT in a side sentence ('meaning doctors would need to treat about 500 people to prevent one case'). Not optional. |
| "The researcher said 'statistically significant'—that's the main story" | Statistically significant ≠ clinically significant. A study of 100,000 people can show a 0.5% effect as "significant" if it's real. Report both p-value and effect size. |
Trigger conditions:
Input signals:
When NOT to use:
pr-press-release.pr-*.Read or have already loaded med-news-reporter for: material audit, fact-checking, source-strength tagging, balance principle, media-ethics check, media-literacy self-check. Do not re-implement those steps here. This file specializes Steps 1, 2, 3, and adds health-specific Step 7 (Evidence Hierarchy & Risk Framing Audit).
| Sub-type | Signals | Sub-template focus |
|---|---|---|
| Research breakthrough | Journal paper, pre-print, press release from university/NIH | Evidence level check; RR + AR framing; replication status |
| Public health alert | CDC alert, 衛福部 advisory, WHO statement, disease outbreak | Absolute numbers (cases, deaths); transmission risk; at-risk population; response guidance |
| Drug approval | FDA/食藥署 approval, Phase III completion, clinical trial results | Trial design rigor; efficacy + side-effect rate; NNT; cost/access; alternative treatments |
| Health policy | Coverage decision, vaccine recommendation, screening guideline, regulation | Policy rationale; affected population; evidence basis; expert consensus; dissenting opinion |
| Patient story | Interview, testimonial, case narrative | De-identification protocol; generalizability limits; attribution; expert context |
If material spans sub-types (e.g. a policy change triggered by a study), classify by the primary news driver.
Every health claim must carry evidence-level tag at first mention:
Evidence Hierarchy (strongest → weakest):
1. Meta-analysis / systematic review of RCTs
2. Large RCT (n > 500)
3. Small RCT (n < 500)
4. Cohort study / case-control study
5. Case series / case report
6. Expert opinion / editorials
7. Anecdote / single patient storyBad tagging: 「新研究表示...」(which study? what strength?) Good tagging: 「今年發表在 Lancet 的一項 1,200 人隨機對照試驗表示...」or 「基於個案報告(證據等級 5)...但尚未進行人體試驗」
Source tier (extends med-news-reporter):
| Tier | Examples | Treatment |
|---|---|---|
| Government health authority | CDC, 衛福部、疾管署、食藥署、WHO | Direct citation; highest credibility tier |
| Peer-reviewed journal | Lancet, JAMA, BMJ, Nature Medicine, 台灣醫學會期刊 | Always cite journal name + DOI; include publication date |
| Preprint / not yet peer-reviewed | medRxiv, bioRxiv | Must flag as "not yet peer-reviewed"; requires editor review before publication |
| University press release | Without access to actual paper | Treat as Tier 2.5; verify against journal preprint / abstract |
| Single researcher quote | Without published evidence | Tier 4; acceptable only as "expert opinion" with explicit caveat |
| Pharmaceutical company | Clinical trial sponsor | Tier 3–4; always disclose funding source; cross-verify against independent data when possible |
| Patient anecdote | Interview, testimonial, Facebook post | Tier 7; only acceptable as illustrative narrative, never as evidence |
Beyond med-news-reporter's general ethics check, add:
個人資料保護法 (PDPA) + 醫療法 §72 (Patient Privacy):
WHO Suicide Reporting Guidelines (essential, non-negotiable):
醫療廣告法 (Medical Advertising Law):
藥物名稱使用合理性:
傳染病防治法 (Communicable Disease Control Act):
Before output, apply:
Use the med-news-reporter base format, with health-specific additions to the meta footer:
[Headline / sub-headline / body paragraphs per med-news-reporter]
---
**稿件類型**: 醫學研究報導 / 公衛警訊 / 藥品核准 / 健康政策 / 患者故事
**字數**: approx. XXX
**消息來源層級**: 政府公衛機構 N / 同儕評審期刊 N / 預印本 N / 企業新聞稿 N / 專家意見 N / 患者訪談 N
**醫學證據稽核**:
- 每項醫學宣稱之證據等級: ✅ / ⚠️ (列出未標的)
- 相對風險 + 絕對風險配對: ✅ / ⚠️ (列出缺項: RR 未伴絕對值、NNT、基礎風險)
- 單一研究 vs 系統性評論: ✅ / N/A / ⚠️
- 95% CI / 不確定性表述: ✅ / ⚠️ (列出未含的宣稱)
**患者隱私檢核**:
- 去識別化: ✅ / ⚠️ (列出仍可追蹤身份的資訊)
- 同意書揭露: ✅ / N/A / ⚠️
**WHO 自殺守則**:
- 適用: N/A / ✅ (已遵守) / ❌ (違反項目)
**利益衝突揭露**:
- 資金來源: ✅ / N/A / ⚠️ (列出未揭露的利益相關)
**待查證事項**: ...
**倫理 / 識讀檢核摘要**: 〔交給 med-news-reporter 的 Step 4-5 footer〕See examples/ directory for:
sample_input.md — realistic health-news source material (clinical study press release + health authority statement + medical society response + patient anecdote)sample_output.md — produced piece + meta footer + skill-trace explanation| File | Purpose | When to read |
|---|---|---|
references/sources_and_beats.md | 台灣衛生醫療消息來源、機構、官方資料庫 | Step 2 source vetting |
references/glossary.md | 醫學統計、流行病學、臨床試驗術語對照 | When unfamiliar medical terminology appears |
references/ethics_and_law.md | PDPA / 醫療法 §72 / 醫療廣告法 / 自殺守則 | Step 3 risk check |
references/medical_evidence_reading.md | 證據等級金字塔、相對風險誤導、P-hacking | Step 1/4 evidence hierarchy |
references/risk_communication.md | 風險溝通原則、絕對 vs 相對、不確定性表述 | Step 4 risk framing |
Related skills:
med-news-reporter — general news workflow (this skill specializes it)med-political — health policy & regulatory newsstat-hypothesis-testing — deeper statistical literacy on RCTs and meta-analysesstat-causal-inference — for causation claims in observational studieshum-source-criticism — source vetting frameworksreferences/medical_evidence_reading.md, but for deep methodological critique use stat-hypothesis-testing or grad-survey-design.© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (references) in med-health of asgard-ai-platform/skills.
Open the folder on GitHubat commit 4e7f4f8
Med Health 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 |
|---|---|---|---|---|---|---|
| Med Health this skillasgard-ai-platform/skills | 242 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Clinical Trial Analysthh-health-AI/healthcare-equity | 101 | — | ~849 | Automated safety check: Pass | MIT | |
| Clinical Trial Analysthh-health-AI/healthcare-equity | 101 | — | ~902 | Automated safety check: Pass | MIT | |
| Humanities Writing Companiontizzy916/humanities-writing-companion | 436 | — | ~3.4k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Biomedical Claim Checkerhh-health-AI/healthcare-equity | 101 | — | ~741 | Automated safety check: Pass | MIT | |
| G2brycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~4.5k | Automated safety check: Pass | Custom licence |
hh-health-AI/healthcare-equity
A skill your agent uses to interpret a trial or readout and reconcile registry, protocol, publication and press release; examine endpoints, multiplicity, missing data, safety and applicability.
hh-health-AI/healthcare-equity
A skill your agent uses to interpret a clinical trial, assess a readout, reconcile a registry with a publication or press release, examine endpoints, multiplicity, missing data, safety or…
tizzy916/humanities-writing-companion
Help with humanities scholarly writing: sharpen research questions, map supplied readings, plan and draft arguments, review chapters, preserve authorial voice, and respond to reviewers.
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…
brycewang-stanford/Auto-Empirical-Research-Skills
Publication Specialist - Writing, Review, Pre-registration & Quality Assurance Light VS applied: Avoids template-based writing + audience-specific message design Absorbed G3 (Peer Review…
mohitagw15856/pm-claude-skills
Verify a claim before repeating it — the independent-sources test (three citations of one press release is one source), the provenance trace to the original, and the confidence grading that…
asgard-ai-platform/skills
Implement BM25 ranking function for e-commerce product search relevance scoring.
asgard-ai-platform/skills
Calculate Cpk process capability index to assess whether a process meets specification requirements.
asgard-ai-platform/skills
Calculate price elasticity of demand to quantify how price changes affect sales volume.
asgard-ai-platform/skills
Apply Bayesian averaging to rank items by combining observed ratings with prior expectations.
asgard-ai-platform/skills
Implement Elo rating system to rank items or players from pairwise comparison outcomes.
asgard-ai-platform/skills
Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction.
Categories
A skill your agent uses when writing a medical or health news story — clinical research breakthroughs, public health alerts, drug approvals, epidemiology, health policy, patient stories, risk…. Med Health is an agent skill from asgard-ai-platform/skills. Use when writing a medical or health news story — clinical research breakthroughs, public health alerts, drug approvals, epidemiology, health policy, patient stories, risk communication — from research papers, press releases, health authority statements, or interviews.
Med Health fits situations like: writing a medical; health news story — clinical research breakthroughs; public health alerts; patient stories.
Run `npx skills add asgard-ai-platform/skills --skill med-health -a claude-code`. Or copy the skill folder (med-health in asgard-ai-platform/skills) into .claude/skills/med-health in your project. Claude Code loads it when a task matches its description.
Run `npx skills add asgard-ai-platform/skills --skill med-health -a codex`. Or copy the skill folder (med-health in asgard-ai-platform/skills) into .agents/skills/med-health in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgard-ai-platform/skills --skill med-health -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/med-health, .gemini/skills/med-health, .github/skills/med-health and .opencode/skills/med-health in your project.
SKILL.md names no scripts, command-line tools or credentials: Med Health is instructions for the agent only.
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.
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.
Med Health is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k 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 10k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Med Health: Clinical Trial Analyst (hh-health-AI/healthcare-equity, 101 stars), Clinical Trial Analyst (hh-health-AI/healthcare-equity, 101 stars), Humanities Writing Companion (tizzy916/humanities-writing-companion, 436 stars) and Biomedical Claim Checker (hh-health-AI/healthcare-equity, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.