Arize Evaluator
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
MITAuto-check passed
Install Desire Evaluator
$ npx skills add MaxKmet/idea-validation-agents --skill desire-evaluator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MaxKmet/idea-validation-agents desire-evaluator --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/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/desire-evaluator .claude/skills/desire-evaluator && 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 "desire-evaluator" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/desire-evaluator into .claude/skills/desire-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "desire-evaluator", 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/MaxKmet/idea-validation-agents/tree/main/skills/desire-evaluatorType 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 MaxKmet/idea-validation-agents --skill desire-evaluator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MaxKmet/idea-validation-agents desire-evaluator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/desire-evaluator .agents/skills/desire-evaluator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "desire-evaluator" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/desire-evaluator into .agents/skills/desire-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "desire-evaluator", 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 MaxKmet/idea-validation-agents --skill desire-evaluator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MaxKmet/idea-validation-agents desire-evaluator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/desire-evaluator .cursor/skills/desire-evaluator && 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 "desire-evaluator" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/desire-evaluator into .cursor/skills/desire-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "desire-evaluator", 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/MaxKmet/idea-validation-agents.git --path skills/desire-evaluator--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 MaxKmet/idea-validation-agents --skill desire-evaluator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MaxKmet/idea-validation-agents desire-evaluator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/desire-evaluator .gemini/skills/desire-evaluator && 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 "desire-evaluator" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/desire-evaluator into .gemini/skills/desire-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "desire-evaluator", 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 MaxKmet/idea-validation-agents desire-evaluatorInstalls 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 MaxKmet/idea-validation-agents --skill desire-evaluator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/desire-evaluator .github/skills/desire-evaluator && 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 "desire-evaluator" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/desire-evaluator into .github/skills/desire-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "desire-evaluator", 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 MaxKmet/idea-validation-agents --skill desire-evaluator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MaxKmet/idea-validation-agents desire-evaluator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/desire-evaluator .opencode/skills/desire-evaluator && 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 "desire-evaluator" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/desire-evaluator into .opencode/skills/desire-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "desire-evaluator", 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
desire-evaluator- GitHub stars
- 478
- Token cost
- ~551 tokens
- SKILL.md length
- 159 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
- Works in 4 steps: Score each dimension 1–5 based on how… → Identify the primary and secondary… → Compute overall desire strength… → …
- SKILL.md covers Purpose, Input, Desire Dimensions and Process, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Desire Evaluator is an agent skill from MaxKmet/idea-validation-agents. Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: AI agents that act as your personal venture analyst - from startup idea brainstorming to full validation and go-to-market strategy. Built for developers who'd rather validate in… The licence is MIT.
Example prompts
- “Use the desire-evaluator skill to score the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given…”
- “/desire-evaluator”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Score each dimension 1–5 based on how directly the app taps into it.
- Identify the primary and secondary desire drivers.
- Compute overall desire strength (weighted average).
- Flag if no dimension scores ≥ 3 (weak desire signal → high churn risk).
What it can do on your machine
Read from SKILL.md and the folder at commit 3a4c800. 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 (its code samples are json).
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
Desire Evaluator loads about 551 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 159 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 MaxKmet/idea-validation-agents at commit 3a4c800, republished under its MIT licence (© MaxKmet). 159 words, ~551 tokens.
Download SKILL.mdSave it as
.claude/skills/desire-evaluator/SKILL.md (or your agent's skills folder).- name
- desire-evaluator
- description
- Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
<!-- version: 0.1.0 | outputs: memory/ideas/<slug>/desire_scores.json -->Skill: desire-evaluator
Purpose
Apps that tap into primal human desires outperform apps that only solve functional problems. This skill scores how strongly an app idea connects to core motivational drivers, which predicts organic virality, retention, and pricing power.
Input
- Idea slug
- App concept description
- Optional:
memory/ideas/<slug>/user_extraction.json(identity driver) - Use this file as reference of what drives core human desires
memory/extra-context/core-human-desires.md
Desire Dimensions
| Dimension | Description | Example App |
|---|---|---|
| Survival | Health, safety, financial security | Calorie tracker, budgeting app |
| Status | Looking good, achieving, winning | Fitness leaderboard, portfolio tracker |
| Belonging | Community, connection, not being alone | Group savings, running clubs |
| Control | Mastery, autonomy, reducing chaos | Task manager, habit tracker |
| Curiosity | Learning, discovery, novelty | Language app, quiz game |
Process
<!-- TODO: Add scoring rubric with question bank per dimension --><!-- TODO: Define what score justifies proceeding (e.g., at least one dimension ≥ 4) -->- Score each dimension 1–5 based on how directly the app taps into it.
- Identify the primary and secondary desire drivers.
- Compute overall desire strength (weighted average).
- Flag if no dimension scores ≥ 3 (weak desire signal → high churn risk).
Output
Write to memory/ideas/<slug>/desire_scores.json:
{
"scores": {
"survival": 0,
"status": 0,
"belonging": 0,
"control": 0,
"curiosity": 0
},
"primary_driver": "",
"secondary_driver": "",
"desire_strength": 0,
"desire_strength_label": "strong | moderate | weak",
"virality_potential": "high | medium | low",
"notes": ""
}Notes
<!-- TODO: Add cross-reference with retention-predictor — desire strength should inform habit score -->© MaxKmet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/desire-evaluator of MaxKmet/idea-validation-agents.
Open the folder on GitHubat commit 3a4c800
Compare with similar skills
Desire Evaluator 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 |
|---|---|---|---|---|---|---|
| Desire Evaluator this skillMaxKmet/idea-validation-agents | 478 | — | ~551 | Automated safety check: Pass | MIT | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| scikit-survival Time-to-Event Modelingdavila7/claude-code-templates | 33k | 11 repos | ~3.7k | Automated safety check: Pass | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| LLM Evaluationdavila7/claude-code-templates | 33k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Scikit SurvivalK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.1k | Automated safety check: Notes | MIT |
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Questions about Desire Evaluator
What does Desire Evaluator do?
Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential. Desire Evaluator is an agent skill from MaxKmet/idea-validation-agents. Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
How do I install Desire Evaluator in Claude Code?
Run `npx skills add MaxKmet/idea-validation-agents --skill desire-evaluator -a claude-code`. Or copy the skill folder (skills/desire-evaluator in MaxKmet/idea-validation-agents) into .claude/skills/desire-evaluator in your project. Claude Code loads it when a task matches its description.
How do I install Desire Evaluator in Codex?
Run `npx skills add MaxKmet/idea-validation-agents --skill desire-evaluator -a codex`. Or copy the skill folder (skills/desire-evaluator in MaxKmet/idea-validation-agents) into .agents/skills/desire-evaluator in your project. Codex loads it when a task matches its description.
Can I use Desire Evaluator 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 MaxKmet/idea-validation-agents --skill desire-evaluator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/desire-evaluator, .gemini/skills/desire-evaluator, .github/skills/desire-evaluator and .opencode/skills/desire-evaluator in your project.
What does Desire Evaluator need to run?
SKILL.md names no scripts, command-line tools or credentials: Desire Evaluator is instructions for the agent only.
Does Desire Evaluator 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 Desire Evaluator 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 Desire Evaluator use?
Desire Evaluator 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 Desire Evaluator use?
About 551 tokens (SKILL.md is roughly 2.2k 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 Desire Evaluator?
Skills that share tags, products or a category with Desire Evaluator: Arize Evaluator (github/awesome-copilot, 40k stars), scikit-survival Time-to-Event Modeling (davila7/claude-code-templates, 33k stars), Evaluators (Arize-ai/phoenix, 12k stars) and LLM Evaluation (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Desire Evaluator?
MaxKmet (a GitHub user) maintains it in MaxKmet/idea-validation-agents, which has 478 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on June 16, 2026.
Source: MaxKmet/idea-validation-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.