Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Run GSEA on a ranked gene list and produce the enrichment table, running-score table, and enrichment plots.
Install Gsea
$ npx skills add aipoch/medical-research-skills --skill gsea -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills gsea --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/gsea' .claude/skills/gsea && 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 "gsea" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/gsea into .claude/skills/gsea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gsea", 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/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/gseaType 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 aipoch/medical-research-skills --skill gsea -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills gsea --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/gsea' .agents/skills/gsea && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gsea" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/gsea into .agents/skills/gsea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gsea", 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 aipoch/medical-research-skills --skill gsea -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills gsea --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/gsea' .cursor/skills/gsea && 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 "gsea" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/gsea into .cursor/skills/gsea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gsea", 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/aipoch/medical-research-skills.git --path 'awesome-med-research-skills/Data Analysis/gsea'--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 aipoch/medical-research-skills --skill gsea -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills gsea --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/gsea' .gemini/skills/gsea && 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 "gsea" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/gsea into .gemini/skills/gsea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gsea", 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 aipoch/medical-research-skills gseaInstalls 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 aipoch/medical-research-skills --skill gsea -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/gsea' .github/skills/gsea && 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 "gsea" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/gsea into .github/skills/gsea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gsea", 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 aipoch/medical-research-skills --skill gsea -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aipoch/medical-research-skills gsea --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/gsea' .opencode/skills/gsea && 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 "gsea" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/gsea into .opencode/skills/gsea/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gsea", 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
gsea- GitHub stars
- 1.9k
- Token cost
- ~2.2k tokens
- SKILL.md length
- 894 words
- Files
- 12 (incl. scripts, references, assets)
- Skills in repo
- 578
- Repo updated
- First seen
- Licence
- MIT
At a glance
Run GSEA on a ranked gene list and produce the enrichment table, running-score table, and enrichment plots.
- Data & Analytics work in your project
- SKILL.md covers When to read external files, Scope, Usage and Arguments, plus 4 more sections
- Runs R scripts from its folder
What it does
Gsea is an agent skill from aipoch/medical-research-skills. Run GSEA on a ranked gene list and produce the enrichment table, running-score table, and enrichment plots.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts, reference files and assets (for example `eval_report_gsea_result.json`, `references/algorithm.md` and `references/cli-guide.md`).
It sits in Data & Analytics. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.
When your agent uses it
- Data & Analytics work in your project
Example prompts
- “/gsea”
What it can do on your machine
Read from SKILL.md and the folder at commit 686e09d. 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
Ships 5 files in scripts/ (R), which the agent can run.
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
Gsea loads about 2.2k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 28 tokens; SKILL.md has 894 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); the scripts in this folder are not scanned.
SKILL.md
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 894 words, ~2,240 tokens.
Download SKILL.mdSave it as
.claude/skills/gsea/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.- name
- gsea
- description
- Run GSEA on a ranked gene list and produce the enrichment table, running-score table, and enrichment plots.
- license
- MIT
- author
- AIPOCH
When to read external files
| Situation | Read | Purpose |
|---|---|---|
| Need algorithm details | references/algorithm.md | Statistical method and formulas |
| Need to run an analysis | scripts/main.R | Full command reference |
| Hit an error | references/troubleshooting.md | Look up error codes and fixes |
| Need CLI examples | references/cli-guide.md | Worked argument examples |
Scope
Use this skill for:
- Running GSEA on a gene list ranked by a statistic
- Generating enrichment curve plots from existing
enrichGSEA.csvandgsea_running_scores.csv - Smoke-testing the pipeline with
tests/data/sample_deg_results.csv
Do not use it for:
- Differential expression on raw expression matrices
- Single-sample ssGSEA
- Network analysis or multi-omics integration
Usage
Analysis mode:
Rscript scripts/main.R --input tests/data/sample_deg_results.csv --outdir ./GSEA_analysis --type KEGG --species human --seed 42 --timeout 300
Plot mode:
Rscript scripts/main.R --running_file ./GSEA_analysis/Table/gsea_running_scores.csv --enrich_file ./GSEA_analysis/Table/enrichGSEA.csv --plot_output ./GSEA_analysis/plot/gsea_plot.pdf --top_n 5 --plot_format pdf --seed 42 --timeout 300
See references/cli-guide.md for more.
Mode selection:
- Passing only
--inputruns analysis mode - Passing both
--running_fileand--enrich_fileruns plot mode - If both sets of arguments are provided, plot mode takes precedence; analysis mode is skipped and a warning is logged
Arguments
Analysis-mode arguments
| Short | Long | Type | Default | Required | Description |
|---|---|---|---|---|---|
-i | --input | character | NULL | yes | Input CSV file |
-o | --outdir | character | GSEA_analysis | no | Output directory |
-g | --gene_col | character | name | no | Gene column name |
-f | --fc_col | character | logFC | no | Ranking-statistic column name |
-t | --type | character | KEGG | no | Gene-set type: KEGG, HALLMARKS, GO_BP, GO_MF, GO_CC. With a preloaded RDS, HALLMARKS is automatically mapped to the asset key Hallmarks |
-s | --species | character | human | no | Species: human, mouse, rat |
-p | --pvalue_cutoff | numeric | 0.05 | no | Significance threshold |
-m | --method | character | fgsea | no | GSEA backend: fgsea or DOSE |
-c | --chunk_size | numeric | 1000 | no | Chunk size for large gene-set conversion |
-r | --rds_path | character | NULL | no | Path to a pre-stored gene-set RDS |
-v | --verbose | logical | FALSE | no | Verbose logging |
--seed | integer | 42 | no | Random seed | |
--timeout | integer | 300 | no | Timeout in seconds; <=0 disables it | |
-h | --help | logical | FALSE | no | Show help |
Plot-mode arguments
| Short | Long | Type | Default | Required | Description |
|---|---|---|---|---|---|
--running_file | character | NULL | yes | Path to gsea_running_scores.csv | |
--enrich_file | character | NULL | yes | Path to enrichGSEA.csv | |
--plot_output | character | gsea_plot.pdf | no | Output plot path | |
--plot_width | numeric | 8 | no | Plot width | |
--plot_height | numeric | 6 | no | Plot height | |
--plot_format | character | pdf | no | Output format: pdf or png | |
--top_n | numeric | 1 | no | Number of top pathways to plot when geneSetID is not given | |
--rank_by | character | p.adjust | no | Column used to rank pathways | |
--geneSetID | character | "" | no | Comma-separated pathway IDs | |
--plot_title | character | "" | no | Plot title | |
--colors | character | #4DBBD5,#E64B35,#00A087,#F39B7F,#3C5488,#8491B4 | no | Color list | |
--base_size | numeric | 11 | no | Base font size | |
--subplots | character | 1,2,3 | no | Sub-panel indices to display | |
--rel_heights | character | 1.5,0.8,1 | no | Relative panel heights | |
--NES_table | logical | TRUE | no | Show NES annotation | |
--no_NES_table | logical | FALSE | no | Disable NES annotation | |
--NES_label_size | numeric | 4 | no | NES label font size | |
--NES_label_x | numeric | 0.75 | no | NES label x position | |
--NES_label_y | numeric | 0.75 | no | NES label y position | |
--NES_label_color | character | black | no | NES label color | |
--NES_label_hjust | numeric | 0 | no | NES label horizontal justification | |
--NES_label_vjust | numeric | 1 | no | NES label vertical justification | |
--line_width | numeric | 1 | no | ES line width | |
--dot_size | numeric | 1.2 | no | ES dot size | |
--legend_position | character | auto | no | Legend position | |
--legend_x | numeric | 0.02 | no | Inset legend x coordinate | |
--legend_y | numeric | 0.02 | no | Inset legend y coordinate | |
--legend_just_x | numeric | 0 | no | Legend horizontal justification | |
--legend_just_y | numeric | 0 | no | Legend vertical justification | |
--legend_text_size | numeric | 9 | no | Legend text size | |
--legend_key_size | numeric | 0.6 | no | Legend key size | |
--legend_bg_alpha | numeric | 0 | no | Legend background alpha | |
--grid_major_color | character | grey92 | no | Major grid color | |
--grid_minor_color | character | grey92 | no | Minor grid color | |
--ylab_es | character | Enrichment Score | no | ES panel y-axis title | |
--ylab_rank | character | Ranked List Metric | no | Rank panel y-axis title | |
--xlab_rank | character | Rank in Ordered Dataset | no | Rank panel x-axis title | |
--hit_height | numeric | 1 | no | Hit-bar height | |
--hit_gap | numeric | 0 | no | Hit-bar gap | |
--hit_linewidth | numeric | 0.5 | no | Hit-bar line width | |
--rank_bar_alpha | numeric | 0.9 | no | Rank-bar alpha | |
--rank_bar_height_ratio | numeric | 0.3 | no | Rank-bar height ratio | |
--rank_metric_segment_color | character | grey | no | Rank-line color | |
--rank_metric_segment_width | numeric | 0.3 | no | Rank-line width | |
--rank_metric_segment_alpha | numeric | 1 | no | Rank-line alpha | |
--pvalue_table | logical | FALSE | no | Show p-value table | |
--ES_geom | character | line | no | ES geometry: line or dot | |
--verbose | logical | FALSE | no | Verbose logging | |
--seed | integer | 42 | no | Random seed | |
--timeout | integer | 300 | no | Timeout in seconds; <=0 disables it | |
-h | --help | logical | FALSE | no | Show help |
Show full SKILL.md (201 more words)Show less
Input format
Analysis-mode input is a CSV with at least:
- a gene column (default name
name) - a ranking-statistic column (default name
logFC)
Example:
name,logFC,pvalue,padj
TP53,2.5,0.001,0.01
BRCA1,1.8,0.005,0.02
EGFR,-1.2,0.01,0.05Value constraints:
typeacceptsKEGG,HALLMARKS,GO_BP,GO_MF,GO_CC- When using a preloaded RDS,
HALLMARKSis automatically matched to the asset keyHallmarks speciesacceptshuman,mouse,rat
Output files
| File | Format | Description |
|---|---|---|
data/GSEA_list.rda | RDA | Full GSEA result object |
Table/enrichGSEA.csv | CSV | Enrichment result table |
Table/gsea_running_scores.csv | CSV | Running-score table; if no enrichment passes, a header-only file is still written |
plot/ | directory | Plot output directory |
session_info.txt | TXT | R version and package versions |
enrichGSEA.csv mainly contains: ID, Description, NES, pvalue, p.adjust, core_enrichment.
Error handling
Common error codes:
SKILL_FILE_NOT_FOUND: input file does not existSKILL_MISSING_COLUMNS: required columns are missingSKILL_EMPTY_DATA: input is empty, or empty after filteringSKILL_INVALID_PARAMETER: an argument has an invalid valueSKILL_PACKAGE_NOT_FOUND: a required package is not installedSKILL_ANALYSIS_FAILED: GSEA still failed after retries
Triage doc: references/troubleshooting.md
Exit codes:
0: success1: failure
Testing
Minimal test dataset: tests/data/sample_deg_results.csv
Minimal command:
Rscript scripts/main.R --input tests/data/sample_deg_results.csv --outdir ./test_output --type KEGG --species human --seed 42 --timeout 300 --verbose
Expected output:
./test_output/data/GSEA_list.rda./test_output/Table/enrichGSEA.csv./test_output/Table/gsea_running_scores.csv./test_output/session_info.txt- If no significant enrichment is found,
gsea_running_scores.csvis still written but contains only the header - Exit code
0
© aipoch, 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 11 other files (scripts, references, assets) in awesome-med-research-skills/Data Analysis/gsea of aipoch/medical-research-skills.
- SKILL.md
- assets/ssGSEA.rds
- eval_report_gsea_result.json
- references/algorithm.md
- references/cli-guide.md
- references/troubleshooting.md
- scripts/functions.R
- scripts/main.R
- scripts/plot_functions.R
- scripts/run_analysis.R
- scripts/utils.R
- tests/data/sample_deg_results.csv
Open the folder on GitHubat commit 686e09d
Compare with similar skills
Gsea 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 |
|---|---|---|---|---|---|---|
| Gsea this skillaipoch/medical-research-skills | 1.9k | — | ~2.2k | Automated safety check: Pass | MIT | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Chart Visualization
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
- Official
Sandbox Bench
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
More from aipoch/medical-research-skills
All 578 skills in this repoAcademic Poster Generator
aipoch/medical-research-skills
Complete workflow for generating academic research posters from PDF literature; use when you need to extract paper content from PDFs and produce a LaTeX-based poster…
Diagnostic Study Quality Assessment Quadas
aipoch/medical-research-skills
Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.
Exploratory Data Analysis
aipoch/medical-research-skills
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Iso Certification
aipoch/medical-research-skills
A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS.
Journal Skills
aipoch/medical-research-skills
Recommends target journals for manuscript submission by analyzing the paper topic/abstract and the journal distribution of similar PubMed literature; use when users ask for journal…
Latex Posters
aipoch/medical-research-skills
Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter.
Related
Categories
Questions about Gsea
What does Gsea do?
Run GSEA on a ranked gene list and produce the enrichment table, running-score table, and enrichment plots. Gsea is an agent skill from aipoch/medical-research-skills. Run GSEA on a ranked gene list and produce the enrichment table, running-score table, and enrichment plots.
When should I use Gsea?
Gsea fits situations like: data & Analytics work in your project.
How do I install Gsea in Claude Code?
Run `npx skills add aipoch/medical-research-skills --skill gsea -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/gsea in aipoch/medical-research-skills) into .claude/skills/gsea in your project. Claude Code loads it when a task matches its description.
How do I install Gsea in Codex?
Run `npx skills add aipoch/medical-research-skills --skill gsea -a codex`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/gsea in aipoch/medical-research-skills) into .agents/skills/gsea in your project. Codex loads it when a task matches its description.
Can I use Gsea 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 aipoch/medical-research-skills --skill gsea -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gsea, .gemini/skills/gsea, .github/skills/gsea and .opencode/skills/gsea in your project.
What does Gsea need to run?
Going by SKILL.md and its folder, Gsea needs R for the scripts in its folder.
Does Gsea 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 Gsea 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Gsea use?
Gsea is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Gsea use?
About 2.2k tokens (SKILL.md is roughly 9k 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 1.1k tokens, read only when the agent opens those files.
What are the alternatives to Gsea?
Skills that share tags, products or a category with Gsea: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Gsea?
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.
Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.