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A skill your agent uses when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated…
Install Svm Model Importance Analysis
$ npx skills add aipoch/medical-research-skills --skill svm-model-importance-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills svm-model-importance-analysis --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/svm-model-importance-analysis' .claude/skills/svm-model-importance-analysis && 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 "svm-model-importance-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/svm-model-importance-analysis into .claude/skills/svm-model-importance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "svm-model-importance-analysis", 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/svm-model-importance-analysisType 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 svm-model-importance-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills svm-model-importance-analysis --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/svm-model-importance-analysis' .agents/skills/svm-model-importance-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "svm-model-importance-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/svm-model-importance-analysis into .agents/skills/svm-model-importance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "svm-model-importance-analysis", 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 svm-model-importance-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills svm-model-importance-analysis --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/svm-model-importance-analysis' .cursor/skills/svm-model-importance-analysis && 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 "svm-model-importance-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/svm-model-importance-analysis into .cursor/skills/svm-model-importance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "svm-model-importance-analysis", 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/svm-model-importance-analysis'--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 svm-model-importance-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills svm-model-importance-analysis --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/svm-model-importance-analysis' .gemini/skills/svm-model-importance-analysis && 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 "svm-model-importance-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/svm-model-importance-analysis into .gemini/skills/svm-model-importance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "svm-model-importance-analysis", 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 svm-model-importance-analysisInstalls 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 svm-model-importance-analysis -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/svm-model-importance-analysis' .github/skills/svm-model-importance-analysis && 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 "svm-model-importance-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/svm-model-importance-analysis into .github/skills/svm-model-importance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "svm-model-importance-analysis", 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 svm-model-importance-analysis -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 svm-model-importance-analysis --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/svm-model-importance-analysis' .opencode/skills/svm-model-importance-analysis && 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 "svm-model-importance-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/svm-model-importance-analysis into .opencode/skills/svm-model-importance-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "svm-model-importance-analysis", 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
svm-model-importance-analysis- GitHub stars
- 2k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 670 words
- Files
- 24 (incl. scripts, references)
- Skills in repo
- 567
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated…
- You need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix
- SKILL.md covers When to Read External Files, Usage, Arguments and Input Format, plus 3 more sections
- Runs R scripts from its folder
- Choose an informative feature count from cross-validated error
What it does
Svm Model Importance Analysis is an agent skill from aipoch/medical-research-skills. Use when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated error, and generate reproducible ranking and error plots. NOT for regression, multi-class classification, missing-value imputation, or remote data fetching.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 25 other files, including scripts and reference files (for example `eval_report_svm-model-importance-analysis_result.json`, `references/algorithm.md` and `references/cli-guide.md`).
It sits in Data & Analytics, covering Data cleaning. 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
- You need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix
- Choose an informative feature count from cross-validated error
- Generate reproducible ranking and error plots
Example prompts
- “/svm-model-importance-analysis”
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 14 files in scripts/ (R, from the files we listed), 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
Svm Model Importance Analysis loads about 1.8k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 670 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). 670 words, ~1,809 tokens.
Download SKILL.mdSave it as
.claude/skills/svm-model-importance-analysis/SKILL.md (or your agent's skills folder). This skill also uses 23 other files; get the full folder from GitHub.- name
- svm-model-importance-analysis
- description
- Use when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated error, and generate reproducible ranking and error plots. NOT for regression, multi-class classification, missing-value imputation, or remote data fetching.
- license
- MIT
- author
- AIPOCH
SVM Model Importance Analysis
When to Read External Files
| Situation | File to Read | Purpose |
|---|---|---|
| Need algorithm details | references/algorithm.md | Explain SVM-RFE ranking, cross-validation logic, assumptions, and interpretation |
| Need to execute the analysis | scripts/main.R | Run the CLI entry point with a complete Rscript command |
| Encounter an error | references/troubleshooting.md | Map standardized error codes to causes and fixes |
| Need CLI examples | references/cli-guide.md | Review installation steps and runnable CLI examples |
| Need a runnable smoke test | tests/data/ | Use the bundled small dataset for verification |
Usage
Rscript scripts/main.R \
--input_file ./input/expression_matrix.csv \
--group_file ./input/group_info.csv \
--case_group Case \
--control_group Control \
--output_dir output/basic-run \
--seed 42 \
--timeout_seconds 600Arguments
| Short | Long | Type | Default | Required | Description |
|---|---|---|---|---|---|
-i | --input_file | character | none | yes, unless --plot_only TRUE | Expression matrix file with samples in rows and features in columns |
-g | --group_file | character | none | yes, unless --plot_only TRUE | Group file with sample IDs in the first column |
-c | --case_group | character | none | yes, unless --plot_only TRUE | Case group label |
-r | --control_group | character | none | yes, unless --plot_only TRUE | Control group label |
-o | --output_dir | character | output | yes | Output directory inside the skill root |
-p | --plot_only | logical | FALSE | no | Reuse output_dir/data/svm_result.rds and regenerate plots without rerunning SVM-RFE |
-s | --seed | integer | 42 | no | Random seed for reproducibility |
-t | --timeout_seconds | integer | 600 | no | Elapsed time limit for the run |
--svm_k | integer | 10 | no | Number of stratified outer folds used for SVM-RFE and validation | |
--svm_halve_above | integer | 50 | no | If surviving features exceed this count, remove half per iteration | |
--svm_max_features_cap | integer | 30 | no | Maximum feature count evaluated on the error curve | |
--svm_select_rule | character | min | no | Feature-count rule: min or tolerance | |
--svm_tol | numeric | 0.01 | no | Tolerance used when --svm_select_rule tolerance is selected | |
--svm_error_height | numeric | 5 | no | SVM error plot height in inches | |
--svm_error_width | numeric | 6 | no | SVM error plot width in inches | |
--svm_error_xlab | character | Number of Features | no | X-axis label for the SVM error plot | |
--svm_error_ylab | character | Classification Error Rate | no | Y-axis label for the SVM error plot | |
--svm_error_main_line_color | character | black | no | Main line color for the SVM error plot | |
--svm_error_second_line_color | character | #2BA2DE | no | Baseline line color for the SVM error plot | |
--svm_error_best_point_color | character | red | no | Highlight color for the best feature-count point | |
--svm_error_noinfo_lty | integer | 3 | no | Line type for the no-information baseline | |
--svm_error_label_cex | numeric | 0.75 | no | Label size for the best-point annotation | |
--svm_error_label_pos | integer | 4 | no | Label position for the best-point annotation | |
--svm_rank_top_n | integer | 20 | no | Maximum number of ranked features shown in the ranking plot | |
--svm_rank_width | numeric | 7 | no | Ranking plot width in inches | |
--svm_rank_height | numeric | 6 | no | Ranking plot height in inches | |
--svm_rank_color | character | #2BA2DE | no | Bar color for the ranking plot | |
--svm_rank_title | character | SVM-RFE Feature Ranking | no | Title for the ranking plot |
Show full SKILL.md (256 more words)Show less
Input Format
Expression Matrix
- CSV or TSV.
- First column: sample IDs.
- Remaining columns: numeric features.
- Samples must be rows.
- Missing or non-numeric feature values are not allowed.
Example:
sample,HIF1A,NR4A1,SOCS1
S1,6.21,-1.34,2.01
S2,6.57,0.37,3.62
S3,7.05,2.12,5.01Group File
- CSV or TSV.
- First column: sample IDs.
- One additional column must contain both the case and control labels.
- Exactly two groups are supported.
Example:
sample,group
S1,Case
S2,Case
S3,ControlOutput Files
| File | Format | Description |
|---|---|---|
data/svm_result.rds | RDS | Serialized SVM-RFE bundle with ranking results and metadata |
table/svm_rfe_features.csv | CSV | Selected ranked features using the chosen feature-count rule |
table/svm_rfe_full_ranking.csv | CSV | Full ranking table across all input features |
plot/svm_rfe_error_plot.pdf | Cross-validated classification error across feature counts | |
plot/svm_rfe_ranking_plot.pdf | Bar plot of the highest-ranked SVM-RFE features | |
session_info.txt | TXT | R version, platform, and package version information |
Error Handling
- Successful runs exit with status code
0. - Failed runs exit with status code
1. - Error messages use standardized names such as
SKILL_FILE_NOT_FOUNDandSKILL_INVALID_PARAMETER. - Output paths are validated so that
--output_dircannot write outside the skill root. - The analysis never performs network requests and never executes user input through
eval(),exec(), orsystem().
Common codes:
| Error Code | Meaning |
|---|---|
SKILL_FILE_NOT_FOUND | An input file or required plot-only artifact does not exist |
SKILL_MISSING_COLUMNS | The input file does not contain the required columns |
SKILL_EMPTY_DATA | An input file is empty or a required ranking table is unavailable |
SKILL_INVALID_PARAMETER | A CLI argument, group setting, numeric constraint, or path is invalid |
SKILL_SAMPLE_MISMATCH | Sample IDs do not match between the expression matrix and group file |
SKILL_PACKAGE_NOT_FOUND | One or more required CRAN packages are missing |
For detailed fixes, READ: references/troubleshooting.md
Testing
Help Check
Rscript scripts/main.R --helpFull Test Run
Rscript tests/run_tests.RDirect Test Command
Rscript scripts/main.R \
--input_file tests/data/expression_matrix.csv \
--group_file tests/data/group_info.csv \
--case_group AR \
--control_group Control \
--output_dir tests/output/manual-test \
--seed 42 \
--svm_k 4 \
--svm_max_features_cap 6 \
--svm_rank_top_n 6 \
--timeout_seconds 300© 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 23 other files (scripts, references) in awesome-med-research-skills/Data Analysis/svm-model-importance-analysis of aipoch/medical-research-skills.
- SKILL.md
- eval_report_svm-model-importance-analysis_result.json
- references/algorithm.md
- references/cli-guide.md
- references/troubleshooting.md
- scripts/cli_options.R
- scripts/core_option_groups.R
- scripts/functions.R
- scripts/io.R
- scripts/main.R
- scripts/option_validation.R
- scripts/path_utils.R
- scripts/plot_option_groups.R
- scripts/recording.R
- scripts/run_analysis.R
- scripts/svm_helpers.R
- scripts/utils.R
- scripts/validation_utils.R
- scripts/visualization.R
- … and 5 more
Open the folder on GitHubat commit 686e09d
Compare with similar skills
Svm Model Importance Analysis 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 |
|---|---|---|---|---|---|---|
| Svm Model Importance Analysis this skillaipoch/medical-research-skills | 2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Question2reportrefraction-ray/xalpha | 2.7k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 | |
| Data Validationplatonai/Browser4 | 1.2k | — | ~896 | Automated safety check: Pass | Apache-2.0 | |
| Issues DeduplicationJetBrains/ideavim | 10k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Svm Model Importance Analysis
What does Svm Model Importance Analysis do?
A skill your agent uses when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated…. Svm Model Importance Analysis is an agent skill from aipoch/medical-research-skills. Use when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated error, and generate reproducible ranking and error plots.
When should I use Svm Model Importance Analysis?
Svm Model Importance Analysis fits situations like: you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix; choose an informative feature count from cross-validated error; generate reproducible ranking and error plots.
How do I install Svm Model Importance Analysis in Claude Code?
Run `npx skills add aipoch/medical-research-skills --skill svm-model-importance-analysis -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/svm-model-importance-analysis in aipoch/medical-research-skills) into .claude/skills/svm-model-importance-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Svm Model Importance Analysis in Codex?
Run `npx skills add aipoch/medical-research-skills --skill svm-model-importance-analysis -a codex`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/svm-model-importance-analysis in aipoch/medical-research-skills) into .agents/skills/svm-model-importance-analysis in your project. Codex loads it when a task matches its description.
Can I use Svm Model Importance Analysis 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 svm-model-importance-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/svm-model-importance-analysis, .gemini/skills/svm-model-importance-analysis, .github/skills/svm-model-importance-analysis and .opencode/skills/svm-model-importance-analysis in your project.
What does Svm Model Importance Analysis need to run?
Going by SKILL.md and its folder, Svm Model Importance Analysis needs R for the scripts in its folder.
Does Svm Model Importance Analysis 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 Svm Model Importance Analysis 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 Svm Model Importance Analysis use?
Svm Model Importance Analysis 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 Svm Model Importance Analysis use?
About 1.8k tokens (SKILL.md is roughly 7.2k 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 3.1k tokens, read only when the agent opens those files.
What are the alternatives to Svm Model Importance Analysis?
Skills that share tags, products or a category with Svm Model Importance Analysis: Question2report (refraction-ray/xalpha, 2.7k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Data Validation (platonai/Browser4, 1.2k stars) and Issues Deduplication (JetBrains/ideavim, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Svm Model Importance Analysis?
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,974 GitHub stars. The repository holds 567 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.