scikit-survival Time-to-Event Modeling
davila7/claude-code-templates
Fits and evaluates survival models with scikit-survival: Cox models, Random Survival Forests, boosting, survival SVMs, concordance index, Brier score and competing risks.
A skill your agent uses when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs.
Install Agsy Data And Model Evaluation
$ npx skills add franklee16/academic-research-skills --skill agsy-data-and-model-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills agsy-data-and-model-evaluation --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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation .claude/skills/agsy-data-and-model-evaluation && 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 "agsy-data-and-model-evaluation" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation into .claude/skills/agsy-data-and-model-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agsy-data-and-model-evaluation", 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/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluationType 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 franklee16/academic-research-skills --skill agsy-data-and-model-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills agsy-data-and-model-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation .agents/skills/agsy-data-and-model-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agsy-data-and-model-evaluation" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation into .agents/skills/agsy-data-and-model-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agsy-data-and-model-evaluation", 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 franklee16/academic-research-skills --skill agsy-data-and-model-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills agsy-data-and-model-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation .cursor/skills/agsy-data-and-model-evaluation && 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 "agsy-data-and-model-evaluation" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation into .cursor/skills/agsy-data-and-model-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agsy-data-and-model-evaluation", 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/franklee16/academic-research-skills.git --path Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation--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 franklee16/academic-research-skills --skill agsy-data-and-model-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills agsy-data-and-model-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation .gemini/skills/agsy-data-and-model-evaluation && 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 "agsy-data-and-model-evaluation" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation into .gemini/skills/agsy-data-and-model-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agsy-data-and-model-evaluation", 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 franklee16/academic-research-skills agsy-data-and-model-evaluationInstalls 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 franklee16/academic-research-skills --skill agsy-data-and-model-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation .github/skills/agsy-data-and-model-evaluation && 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 "agsy-data-and-model-evaluation" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation into .github/skills/agsy-data-and-model-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agsy-data-and-model-evaluation", 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 franklee16/academic-research-skills --skill agsy-data-and-model-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install franklee16/academic-research-skills agsy-data-and-model-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation .opencode/skills/agsy-data-and-model-evaluation && 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 "agsy-data-and-model-evaluation" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation into .opencode/skills/agsy-data-and-model-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agsy-data-and-model-evaluation", 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
agsy-data-and-model-evaluation- GitHub stars
- 223
- Used in
- 1 other repo
- Token cost
- ~1k tokens
- SKILL.md length
- 393 words
- Files
- 1
- Skills in repo
- 1,617
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs.
- Works in 5 steps: Independent evaluation. Compare observed… → Sensitivity analysis. Identify the… → Uncertainty. Propagate uncertainty from… → …
- Tasks that involve Machine learning
- SKILL.md covers When to trigger, Evaluation norms AgSy expects, Stochastic & data-driven… and Reproducibility while you work…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Agsy Data And Model Evaluation is an agent skill from franklee16/academic-research-skills. Use when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs. simulated, fit statistics), sensitivity and uncertainty analysis, and trade-off / scenario analysis across the system. Guides evaluation norms; it does not fabricate results or run the model.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Machine learning and Statistics. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.
When your agent uses it
- Tasks that involve Machine learning
- Tasks that involve Statistics
Example prompts
- “/agsy-data-and-model-evaluation”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Independent evaluation. Compare observed vs. simulated on data not used for calibration.
- Sensitivity analysis. Identify the parameters/inputs that drive outputs (local one-at-a-time
- Uncertainty. Propagate uncertainty from inputs, parameters, and structure to the outputs that
- Trade-off & scenario analysis. This is where AgSy papers earn their place: compare scenarios or
- Scaling. When you aggregate from field to farm to region, state how, and check that aggregation
What it can do on your machine
Read from SKILL.md and the folder at commit 9a4b2db. 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
Agsy Data And Model Evaluation loads about 1k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 393 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 393 words (~1,034 tokens).
“A model is only as credible as its evaluation. AgSy reviewers are systems-modelling experts: they want to see the model tested against independent data, its sensitivity and uncertainty characterized, and the trade-offs the system exhibits — not a single tuned…”
- name
- agsy-data-and-model-evaluation
Files
Just SKILL.md in Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation of franklee16/academic-research-skills.
Open the folder on GitHubat commit 9a4b2db
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Agsy Data And Model Evaluation 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 |
|---|---|---|---|---|---|---|
| Agsy Data And Model Evaluation this skillfranklee16/academic-research-skills | 223 | 1 repos | ~1k | Automated safety check: Pass | None | |
| scikit-survival Time-to-Event Modelingdavila7/claude-code-templates | 33k | 11 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Data Scientistdavila7/claude-code-templates | 33k | 8 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Scientific Toolkit SkillzLanqing/codex-claude-academic-skills | 4.7k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Data Sciencetravisjneuman/.claude | 100 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Regression Analysis Modelingliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~1.7k | Automated safety check: Notes | None |
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Categories
Questions about Agsy Data And Model Evaluation
What does Agsy Data And Model Evaluation do?
A skill your agent uses when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs. Agsy Data And Model Evaluation is an agent skill from franklee16/academic-research-skills. Use when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs.
When should I use Agsy Data And Model Evaluation?
Agsy Data And Model Evaluation fits situations like: tasks that involve Machine learning; tasks that involve Statistics.
How do I install Agsy Data And Model Evaluation in Claude Code?
Run `npx skills add franklee16/academic-research-skills --skill agsy-data-and-model-evaluation -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation in franklee16/academic-research-skills) into .claude/skills/agsy-data-and-model-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Agsy Data And Model Evaluation in Codex?
Run `npx skills add franklee16/academic-research-skills --skill agsy-data-and-model-evaluation -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation in franklee16/academic-research-skills) into .agents/skills/agsy-data-and-model-evaluation in your project. Codex loads it when a task matches its description.
Can I use Agsy Data And Model Evaluation 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 franklee16/academic-research-skills --skill agsy-data-and-model-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agsy-data-and-model-evaluation, .gemini/skills/agsy-data-and-model-evaluation, .github/skills/agsy-data-and-model-evaluation and .opencode/skills/agsy-data-and-model-evaluation in your project.
What does Agsy Data And Model Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Agsy Data And Model Evaluation is instructions for the agent only.
Does Agsy Data And Model Evaluation 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 Agsy Data And Model Evaluation 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 Agsy Data And Model Evaluation use?
No licence was found for Agsy Data And Model Evaluation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Agsy Data And Model Evaluation use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agsy Data And Model Evaluation?
Skills that share tags, products or a category with Agsy Data And Model Evaluation: scikit-survival Time-to-Event Modeling (davila7/claude-code-templates, 33k stars), Data Scientist (davila7/claude-code-templates, 33k stars), Scientific Toolkit Skill (zLanqing/codex-claude-academic-skills, 4.7k stars) and Data Science (travisjneuman/.claude, 100 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agsy Data And Model Evaluation?
franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.
Source: franklee16/academic-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.