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…
Research industry standards and best practices, identify viable approaches for a given technical or architectural problem, and produce a structured factual comparison against project-specific…
Custom licenceAuto-check passed
Install Approach Evaluation
$ npx skills add digipulse-engineering/GAAI-framework --skill approach-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digipulse-engineering/GAAI-framework approach-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/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.gaai/core/skills/cross/approach-evaluation .claude/skills/approach-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 "approach-evaluation" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/approach-evaluation into .claude/skills/approach-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "approach-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/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/approach-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 digipulse-engineering/GAAI-framework --skill approach-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digipulse-engineering/GAAI-framework approach-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.gaai/core/skills/cross/approach-evaluation .agents/skills/approach-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 "approach-evaluation" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/approach-evaluation into .agents/skills/approach-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "approach-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 digipulse-engineering/GAAI-framework --skill approach-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digipulse-engineering/GAAI-framework approach-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.gaai/core/skills/cross/approach-evaluation .cursor/skills/approach-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 "approach-evaluation" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/approach-evaluation into .cursor/skills/approach-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "approach-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/digipulse-engineering/GAAI-framework.git --path .gaai/core/skills/cross/approach-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 digipulse-engineering/GAAI-framework --skill approach-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digipulse-engineering/GAAI-framework approach-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.gaai/core/skills/cross/approach-evaluation .gemini/skills/approach-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 "approach-evaluation" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/approach-evaluation into .gemini/skills/approach-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "approach-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 digipulse-engineering/GAAI-framework approach-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 digipulse-engineering/GAAI-framework --skill approach-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .github/skills && cp -r skills-src/.gaai/core/skills/cross/approach-evaluation .github/skills/approach-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 "approach-evaluation" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/approach-evaluation into .github/skills/approach-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "approach-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 digipulse-engineering/GAAI-framework --skill approach-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 digipulse-engineering/GAAI-framework approach-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.gaai/core/skills/cross/approach-evaluation .opencode/skills/approach-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 "approach-evaluation" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/approach-evaluation into .opencode/skills/approach-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "approach-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
approach-evaluation- GitHub stars
- 163
- Token cost
- ~1.9k tokens
- SKILL.md length
- 655 words
- Files
- 1
- Skills in repo
- 51
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Research industry standards and best practices, identify viable approaches for a given technical or architectural problem, and produce a structured factual comparison against project-specific…
- Works in 4 steps: Problem Framing → Industry Research → Structured Comparison → …
- SKILL.md covers Purpose / When to Activate, Process, Outputs and Quality Checks, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Approach Evaluation is an agent skill from digipulse-engineering/GAAI-framework. Research industry standards and best practices, identify viable approaches for a given technical or architectural problem, and produce a structured factual comparison against project-specific constraints. Reports options — does not decide.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Works with any filesystem-based AI coding agent
The repository describes itself as: Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until…
Example prompts
- “/approach-evaluation”
Requirements
- Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Problem Framing
- Industry Research
- Structured Comparison
- Trade-off Surfacing
What it can do on your machine
Read from SKILL.md and the folder at commit a26ea7a. 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 markdown).
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.
Compatibility
Works with any filesystem-based AI coding agent
From compatibility in the SKILL.md frontmatter.
Context cost
Approach Evaluation loads about 1.9k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 655 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 655 words (~1,898 tokens).
“Activate when the invoking agent identifies a technical or architectural decision point where:”
- name
- approach-evaluation
- compatibility
- Works with any filesystem-based AI coding agent
- license
- ELv2
- metadata.author
- gaai-framework
- metadata.version
- 1.0
- metadata.category
- cross
- metadata.track
- cross-cutting
- metadata.id
- SKILL-APPROACH-EVALUATION-001
- metadata.updated_at
- 2026-02-26
- metadata.status
- stable
- inputs
- problem_statement (what needs to be solved), contexts/memory/index.md (registry — resolve project context, patterns, decisions files), contexts/memory/**…
- outputs
- contexts/artefacts/evaluations/{id}.approach-evaluation.md
Files
Just SKILL.md in .gaai/core/skills/cross/approach-evaluation of digipulse-engineering/GAAI-framework.
Open the folder on GitHubat commit a26ea7a
Compare with similar skills
Approach 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 |
|---|---|---|---|---|---|---|
| Approach Evaluation this skilldigipulse-engineering/GAAI-framework | 163 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 32k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Creating Online EvaluationsPostHog/posthog | 40k | — | ~6.7k | Automated safety check: Pass | Custom licence | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence |
Similar skills
- Official
LLM Evaluation
davila7/claude-code-templates
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
- Official
Creating Online Evaluations
PostHog/posthog
Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified.
Agent Evaluation
sickn33/agentic-awesome-skills
Evaluate agent behavior with versioned cases and explicit verifiers.
Evaluators
Arize-ai/phoenix
Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output.
Agent Evaluation Reporting
sickn33/agentic-awesome-skills
A skill your agent uses when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
More from digipulse-engineering/GAAI-framework
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Evaluate any output file against a structured evals.yaml assertions file and produce a score report with per-assertion pass/fail results.
Pattern Transfer
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Discover structurally similar patterns across domains, assess transfer viability via structural invariant checking, and propose domain adaptations with risk gates.
Skill Optimize
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Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements.
Abort Safe Handler
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Create Skill
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Guide creation of a new GAAI skill following the agentskills.io spec and GAAI best practices.
Discovery High Level Plan
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Transform vague or high-level human intent into a governed Discovery action plan.
Questions about Approach Evaluation
What does Approach Evaluation do?
Research industry standards and best practices, identify viable approaches for a given technical or architectural problem, and produce a structured factual comparison against project-specific…. Approach Evaluation is an agent skill from digipulse-engineering/GAAI-framework. Research industry standards and best practices, identify viable approaches for a given technical or architectural problem, and produce a structured factual comparison against project-specific constraints.
How do I install Approach Evaluation in Claude Code?
Run `npx skills add digipulse-engineering/GAAI-framework --skill approach-evaluation -a claude-code`. Or copy the skill folder (.gaai/core/skills/cross/approach-evaluation in digipulse-engineering/GAAI-framework) into .claude/skills/approach-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Approach Evaluation in Codex?
Run `npx skills add digipulse-engineering/GAAI-framework --skill approach-evaluation -a codex`. Or copy the skill folder (.gaai/core/skills/cross/approach-evaluation in digipulse-engineering/GAAI-framework) into .agents/skills/approach-evaluation in your project. Codex loads it when a task matches its description.
Can I use Approach 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 digipulse-engineering/GAAI-framework --skill approach-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/approach-evaluation, .gemini/skills/approach-evaluation, .github/skills/approach-evaluation and .opencode/skills/approach-evaluation in your project.
What does Approach Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Approach Evaluation is instructions for the agent only. Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent.
Does Approach 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 Approach 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 Approach Evaluation use?
Approach Evaluation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Approach Evaluation use?
About 1.9k tokens (SKILL.md is roughly 7.6k 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 Approach Evaluation?
Skills that share tags, products or a category with Approach Evaluation: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars), Creating Online Evaluations (PostHog/posthog, 40k stars) and Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Approach Evaluation?
digipulse-engineering (a GitHub organization) maintains it in digipulse-engineering/GAAI-framework, which has 163 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on September 29, 2026.
Source: digipulse-engineering/GAAI-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.