Clinical Trials Database
google-deepmind/science-skills
Query ClinicalTrials.gov via APIv2. An agent skill from google-deepmind/science-skills.
Applies the epidemiological and aging research frameworks of Tamara B.
Install Tamara B Harris
$ npx skills add K-Dense-AI/mimeographs --skill tamara-b-harris -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/mimeographs tamara-b-harris --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/K-Dense-AI/mimeographs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mimeographs/tamara-b-harris .claude/skills/tamara-b-harris && 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 "tamara-b-harris" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/tamara-b-harris into .claude/skills/tamara-b-harris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tamara-b-harris", 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/K-Dense-AI/mimeographs/tree/main/mimeographs/tamara-b-harrisType 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 K-Dense-AI/mimeographs --skill tamara-b-harris -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/mimeographs tamara-b-harris --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mimeographs/tamara-b-harris .agents/skills/tamara-b-harris && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tamara-b-harris" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/tamara-b-harris into .agents/skills/tamara-b-harris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tamara-b-harris", 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 K-Dense-AI/mimeographs --skill tamara-b-harris -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/mimeographs tamara-b-harris --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mimeographs/tamara-b-harris .cursor/skills/tamara-b-harris && 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 "tamara-b-harris" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/tamara-b-harris into .cursor/skills/tamara-b-harris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tamara-b-harris", 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/K-Dense-AI/mimeographs.git --path mimeographs/tamara-b-harris--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 K-Dense-AI/mimeographs --skill tamara-b-harris -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/mimeographs tamara-b-harris --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mimeographs/tamara-b-harris .gemini/skills/tamara-b-harris && 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 "tamara-b-harris" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/tamara-b-harris into .gemini/skills/tamara-b-harris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tamara-b-harris", 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 K-Dense-AI/mimeographs tamara-b-harrisInstalls 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 K-Dense-AI/mimeographs --skill tamara-b-harris -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .github/skills && cp -r skills-src/mimeographs/tamara-b-harris .github/skills/tamara-b-harris && 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 "tamara-b-harris" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/tamara-b-harris into .github/skills/tamara-b-harris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tamara-b-harris", 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 K-Dense-AI/mimeographs --skill tamara-b-harris -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/mimeographs tamara-b-harris --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mimeographs/tamara-b-harris .opencode/skills/tamara-b-harris && 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 "tamara-b-harris" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/tamara-b-harris into .opencode/skills/tamara-b-harris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tamara-b-harris", 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
tamara-b-harris- GitHub stars
- 129
- Token cost
- ~1.5k tokens
- SKILL.md length
- 709 words
- Files
- 72 (incl. references)
- Skills in repo
- 60
- Repo updated
- First seen
- Licence
- MIT
At a glance
Applies the epidemiological and aging research frameworks of Tamara B.
- Analyzing health metrics in older populations
- SKILL.md covers Core principles, How Tamara B. Harris reasons, Applying the frameworks and Anti-patterns she pushes against, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Designing longitudinal studies
What it does
Tamara B Harris is an agent skill from K-Dense-AI/mimeographs. Applies the epidemiological and aging research frameworks of Tamara B. Harris (epidemiologist, National Institutes of Health). Use this skill whenever analyzing health metrics in older populations, designing longitudinal studies, evaluating body composition (muscle quality vs. mass), assessing dementia risk factors, or interpreting paradoxical risk factors in geriatrics. Trigger this skill when the user asks about aging, longevity, functional decline, socioeconomic health disparities, or when evaluating clinical…
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 74 other files, including reference files (for example `AGENTS.md`, `_workspace/agents_output.e584bd6c.json` and `_workspace/clustered_corpus.e584bd6c.json`).
It sits in Research & Science, covering Clinical and healthcare research. The repository describes itself as: Ready-to-use agent skills that clone the thinking of founders, philosophers, and scientists into your agent. Generated with K-Dense-AI/mimeo. The licence is MIT.
When your agent uses it
- Analyzing health metrics in older populations
- Designing longitudinal studies
- Evaluating body composition (muscle quality vs
- This skill when the user asks about aging
Example prompts
- “Use the tamara-b-harris skill to apply the epidemiological and aging research frameworks of Tamara B”
- “/tamara-b-harris”
What it can do on your machine
Read from SKILL.md and the folder at commit a38f5fc. 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
Tamara B Harris loads about 1.5k tokens when it runs, and up to ~6k if it reads all its reference files. Until then it costs about 154 tokens; SKILL.md has 709 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 K-Dense-AI/mimeographs at commit a38f5fc, republished under its MIT licence (© K-Dense-AI). 709 words, ~1,490 tokens.
Download SKILL.mdSave it as
.claude/skills/tamara-b-harris/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.- name
- tamara-b-harris
- description
- Applies the epidemiological and aging research frameworks of Tamara B. Harris (epidemiologist, National Institutes of Health). Use this skill whenever analyzing health metrics in older populations, designing longitudinal studies, evaluating body composition (muscle quality vs. mass), assessing dementia risk factors, or interpreting paradoxical risk factors in geriatrics. Trigger this skill when the user asks about aging, longevity, functional decline, socioeconomic health disparities, or when evaluating clinical trial data where reverse causation or subgroup stratification might skew results.
Thinking like Tamara B. Harris
Tamara B. Harris approaches aging and epidemiological research by dismantling monolithic metrics into their biological and functional components. Rather than accepting composite variables like "weight" or "years of education," her thinking isolates the specific physiological and socioeconomic drivers of functional decline. She emphasizes methodological rigor, recognizing that aging populations naturally diverge into distinct subgroups where standard health metrics often behave paradoxically.
Reach for this skill whenever you are analyzing health data for older populations, designing longitudinal studies, evaluating body composition, or interpreting risk factors that seem to contradict midlife health guidelines.
Core principles
- Component Biology over Composite Weight: Analyze distinct body composition components (lean mass, bone, fat) rather than overall weight, because separating these clarifies the actual biological processes driving disease risk.
- Muscle Quality Trumps Muscle Mass: Evaluate functional output (strength) and fat infiltration rather than raw muscle mass, because mass can be artificially inflated by body size (e.g., in diabetes) without providing functional benefit.
- Reverse Causation in Aging Metrics: Rely on midlife metrics rather than late-life metrics to predict outcomes, because in old age, traditionally "healthy" metrics (like low blood pressure) often indicate underlying frailty.
- Socioeconomic Drivers of Cognitive Disparities: Adjust for comprehensive socioeconomic factors (income, literacy) before attributing dementia risk to genetics or race, because financial stress and educational quality are primary drivers of cognitive decline.
- Subgroup Stratification is Essential: Always stratify older populations into distinct categories (e.g., healthy vs. frail), because exposures can have vastly different effects depending on the subgroup, making statistical interactions common.
For detailed rationale and quotes, see references/principles.md.
How Tamara B. Harris reasons
When presented with health data or study designs for older adults, Harris first looks for hidden subgroups and reverse causation. She asks: "Is this metric a proxy for underlying frailty?" and "Are we looking at a composite variable that obscures the real biological mechanism?" She aggressively dismisses monolithic metrics—like BMI or total muscle mass—in favor of functional measures like muscle quality and walking capacity.
Her reasoning relies heavily on the Paradoxical Risk Factors model, recognizing that what is dangerous in midlife might be protective in late life, and the Composite Weight vs. Component Biology model to break down physical metrics. For a full catalog of her analytical lenses, see references/mental-models.md.
Applying the frameworks
Upstream Functional Assessment
When to use: Designing studies or assessments to detect early signs of functional decline before overt disability occurs. Steps: Recruit individuals free of self-reported limitations; administer challenging performance-based measures (e.g., 400m fast walk); track performance times longitudinally to identify subclinical vulnerability.
Show full SKILL.md (287 more words)Show less
Aging-Prevention Paradigm
When to use: Tailoring clinical goals and interventions based on an older adult's current health status. Steps: For the healthy, focus on preventing disease; for the "at risk," stabilize disease and prevent disability; for the frail, prevent the progression of disability.
For full framework details, see references/frameworks.md.
Anti-patterns she pushes against
- Relying solely on overall weight: Using composite weight obscures the distinct biological roles of lean mass, bone, and fat, leading to confusion in geriatric epidemiology.
- Equating muscle mass with strength: Assuming greater mass means greater strength ignores conditions like diabetes, where mass is a byproduct of body size but functional strength is impaired.
- Ignoring reverse causation: Treating standard risk factors as universally healthy in old age ignores that proximate events like disease can cause dangerous drops in weight or blood pressure.
- Overlooking socioeconomic nuance: Relying on basic "years of education" misses the nuances of literacy and financial stress, leading to false attributions of cognitive decline.
- Failing to stratify by subgroups: Treating older adults as a monolith leads to false conclusions, as an exposure might have a completely different effect on a frail person than a healthy one.
How to use this skill in conversation
When the user is analyzing geriatric health data, designing epidemiological studies, or questioning paradoxical health outcomes in older adults, channel Harris's methodological rigor. Surface the relevant principle or framework by name (e.g., "Applying Tamara B. Harris's Aging-Prevention Paradigm..."). If the user relies on composite metrics like BMI or total muscle mass, gently pivot them toward component biology and muscle quality, explaining why the composite metric is misleading in this population. Do not pretend to be Harris; instead, apply her analytical lenses to the user's specific context, citing her concepts directly.
© K-Dense-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 71 other files (references) in mimeographs/tamara-b-harris of K-Dense-AI/mimeographs.
- SKILL.md
- AGENTS.md
- _workspace/agents_output.e584bd6c.json
- _workspace/clustered_corpus.e584bd6c.json
- _workspace/discovery/books.json
- _workspace/discovery/essays.json
- _workspace/discovery/frameworks.json
- _workspace/discovery/interviews.json
- _workspace/discovery/letters.json
- _workspace/discovery/papers.json
- _workspace/discovery/podcasts.json
- _workspace/discovery/ranked_sources.e584bd6c.json
- _workspace/discovery/talks.json
- _workspace/distilled/src_000.e584bd6c.json
- _workspace/distilled/src_001.e584bd6c.json
- _workspace/distilled/src_003.e584bd6c.json
- _workspace/distilled/src_013.e584bd6c.json
- _workspace/distilled/src_020.e584bd6c.json
- … and 54 more
Open the folder on GitHubat commit a38f5fc
Compare with similar skills
Tamara B Harris 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 |
|---|---|---|---|---|---|---|
| Tamara B Harris this skillK-Dense-AI/mimeographs | 129 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Clinical Trials Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Biomedical Analysis Dispatchxjtulyc/MedgeClaw | 617 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Research Paperluwill/research-skills | 862 | — | ~1.9k | Automated safety check: Pass | None | |
| Research Proposalluwill/research-skills | 862 | — | ~4.5k | Automated safety check: Notes | None |
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Related
Categories
Questions about Tamara B Harris
What does Tamara B Harris do?
Applies the epidemiological and aging research frameworks of Tamara B. Tamara B Harris is an agent skill from K-Dense-AI/mimeographs. Applies the epidemiological and aging research frameworks of Tamara B.
When should I use Tamara B Harris?
Tamara B Harris fits situations like: analyzing health metrics in older populations; designing longitudinal studies; evaluating body composition (muscle quality vs; this skill when the user asks about aging.
How do I install Tamara B Harris in Claude Code?
Run `npx skills add K-Dense-AI/mimeographs --skill tamara-b-harris -a claude-code`. Or copy the skill folder (mimeographs/tamara-b-harris in K-Dense-AI/mimeographs) into .claude/skills/tamara-b-harris in your project. Claude Code loads it when a task matches its description.
How do I install Tamara B Harris in Codex?
Run `npx skills add K-Dense-AI/mimeographs --skill tamara-b-harris -a codex`. Or copy the skill folder (mimeographs/tamara-b-harris in K-Dense-AI/mimeographs) into .agents/skills/tamara-b-harris in your project. Codex loads it when a task matches its description.
Can I use Tamara B Harris 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 K-Dense-AI/mimeographs --skill tamara-b-harris -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tamara-b-harris, .gemini/skills/tamara-b-harris, .github/skills/tamara-b-harris and .opencode/skills/tamara-b-harris in your project.
What does Tamara B Harris need to run?
SKILL.md names no scripts, command-line tools or credentials: Tamara B Harris is instructions for the agent only.
Does Tamara B Harris 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 Tamara B Harris 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 Tamara B Harris use?
Tamara B Harris 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 Tamara B Harris use?
About 1.5k tokens (SKILL.md is roughly 6k 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 4.5k tokens, read only when the agent opens those files.
What are the alternatives to Tamara B Harris?
Skills that share tags, products or a category with Tamara B Harris: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars) and Research Paper (luwill/research-skills, 862 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tamara B Harris?
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/mimeographs, which has 129 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on August 18, 2026.
Source: K-Dense-AI/mimeographs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.