Generate EvalView test cases — either from a SKILL.md file using LLM-powered generation, or by capturing real agent interactions through a proxy.
$ npx skills add hidai25/eval-view --skill generate-tests -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hidai25/eval-view generate-tests --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/hidai25/eval-view.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/generate-tests .claude/skills/generate-tests && 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 "generate-tests" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/generate-tests into .claude/skills/generate-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-tests", 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/hidai25/eval-view/tree/main/skills/generate-testsType 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 hidai25/eval-view --skill generate-tests -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hidai25/eval-view generate-tests --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hidai25/eval-view.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/generate-tests .agents/skills/generate-tests && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "generate-tests" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/generate-tests into .agents/skills/generate-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-tests", 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 hidai25/eval-view --skill generate-tests -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hidai25/eval-view generate-tests --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hidai25/eval-view.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/generate-tests .cursor/skills/generate-tests && 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 "generate-tests" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/generate-tests into .cursor/skills/generate-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-tests", 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/hidai25/eval-view.git --path skills/generate-tests--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 hidai25/eval-view --skill generate-tests -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hidai25/eval-view generate-tests --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hidai25/eval-view.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/generate-tests .gemini/skills/generate-tests && 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 "generate-tests" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/generate-tests into .gemini/skills/generate-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-tests", 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 hidai25/eval-view generate-testsInstalls 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 hidai25/eval-view --skill generate-tests -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hidai25/eval-view.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/generate-tests .github/skills/generate-tests && 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 "generate-tests" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/generate-tests into .github/skills/generate-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-tests", 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 hidai25/eval-view --skill generate-tests -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hidai25/eval-view generate-tests --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hidai25/eval-view.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/generate-tests .opencode/skills/generate-tests && 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 "generate-tests" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/generate-tests into .opencode/skills/generate-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-tests", 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.
generate-testsGenerate EvalView test cases — either from a SKILL.md file using LLM-powered generation, or by capturing real agent interactions through a proxy.
Generate Tests is an agent skill from hidai25/eval-view. Generate EvalView test cases — either from a SKILL.md file using LLM-powered generation, or by capturing real agent interactions through a proxy.
Its SKILL.md is about 660 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 Testing & QA, covering Test generation, Skill authoring and Building AI agents. The repository describes itself as: Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic. The licence is Apache-2.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 394f7d7. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Generate Tests loads about 658 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 270 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.
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.
The full file from hidai25/eval-view at commit 394f7d7, republished under its Apache-2.0 licence (© hidai25). 270 words, ~658 tokens.
.claude/skills/generate-tests/SKILL.md (or your agent's skills folder).Use this skill when the user wants to create test cases for their AI agent or skill without writing YAML by hand.
Use the generate_skill_tests MCP tool to auto-generate a test suite from a skill definition. This reads the SKILL.md and produces YAML test cases covering explicit triggers, implicit triggers, contextual triggers, and negative cases.
Steps:
generate_skill_tests with:skill_path: path to the SKILL.md fileoutput_path (optional): where to save the generated YAMLcount (optional): number of test cases (default: 10)run_skill_test.CLI equivalent:
evalview skill generate-tests .claude/skills/my-skill/SKILL.md --auto
evalview skill generate-tests .claude/skills/my-skill/SKILL.md -c 20 -o tests/my-skill-tests.yamlUse the create_test MCP tool to create a single test YAML file from a description.
Steps:
create_test with the parameters.run_snapshot to establish the golden baseline.Use the CLI evalview capture command to proxy real agent traffic and save interactions as test YAMLs automatically. This records the query, output, and tool calls from live usage.
CLI equivalent:
evalview capture --agent http://localhost:8080/execute --output-dir tests/test-cases
evalview capture --multi-turn # saves all turns as one multi-turn conversation testUse validate_skill to check a SKILL.md for correct structure and completeness before generating tests from it.
After generating tests, execute them with run_skill_test:
test_file: path to the generated YAMLno_rubric: true for fast deterministic-only checks (no LLM cost)verbose: true for detailed output on all testsCLI equivalent:
evalview skill test tests/my-skill-tests.yaml
evalview skill test tests/my-skill-tests.yaml --no-rubric # fast, $0
evalview skill test tests/my-skill-tests.yaml --verbose --model claude-sonnet-4-20250514© hidai25, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/generate-tests of hidai25/eval-view.
Open the folder on GitHubat commit 394f7d7
Generate Tests 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 |
|---|---|---|---|---|---|---|
| Generate Tests this skillhidai25/eval-view | 137 | — | ~658 | Automated safety check: Pass | Apache-2.0 | |
| Langgraph Testing Evaluationsoba-labs/langchain-agent-skills | 107 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Create Agent Templateharness/harness-skills | 115 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Agent Creatorjdforsythe/forge | 151 | — | ~4.5k | Automated safety check: Pass | MIT | |
| Veomni Patchgen ModelByteDance-Seed/VeOmni | 2.2k | — | ~9.6k | Automated safety check: Pass | Apache-2.0 | |
| Guidancetestdouble/han | 279 | — | ~1.8k | Automated safety check: Pass | MIT |
soba-labs/langchain-agent-skills
A skill your agent uses when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory…
harness/harness-skills
Generate Harness Agent Template files for AI-powered automation agents.
jdforsythe/forge
Creates structured agent definitions using the 7-component format grounded in persona science (the alignment-accuracy tradeoff), vocabulary routing, and the MAST failure taxonomy + Forge watchlist.
ByteDance-Seed/VeOmni
Author or refresh a VeOmni model's patchgen-generated modeling under generated/ — GPU and/or NPU config, dense or MoE, text / VLM / Omni.
testdouble/han
Authoritative guidance for building Claude Code skills, agents, and plugins, plus init and update steps that install and refresh the plugin-building skills in the current repository.
microsoft/eval-guide
Eval enablement accelerator — help customers think through "what does good look like" for their AI agent, then generate a structured eval plan and test cases they can use immediately.
hidai25/eval-view
Run EvalView regression checks against golden baselines to detect regressions in AI agent behavior after code, prompt, or model changes.
hidai25/eval-view
Beat procrastination with task breakdown, 2-minute starts, and accountability tracking
hidai25/eval-view
Start EvalView watch mode to automatically re-run regression checks whenever project files change.
Categories
Generate EvalView test cases — either from a SKILL.md file using LLM-powered generation, or by capturing real agent interactions through a proxy. Generate Tests is an agent skill from hidai25/eval-view.md file using LLM-powered generation, or by capturing real agent interactions through a proxy.
Generate Tests fits situations like: tasks that involve Test generation; tasks that involve Skill authoring; tasks that involve Building AI agents.
Run `npx skills add hidai25/eval-view --skill generate-tests -a claude-code`. Or copy the skill folder (skills/generate-tests in hidai25/eval-view) into .claude/skills/generate-tests in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hidai25/eval-view --skill generate-tests -a codex`. Or copy the skill folder (skills/generate-tests in hidai25/eval-view) into .agents/skills/generate-tests in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hidai25/eval-view --skill generate-tests -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-tests, .gemini/skills/generate-tests, .github/skills/generate-tests and .opencode/skills/generate-tests in your project.
SKILL.md names no scripts, command-line tools or credentials: Generate Tests is instructions for the agent only.
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.
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.
Generate Tests is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 658 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Generate Tests: Langgraph Testing Evaluation (soba-labs/langchain-agent-skills, 107 stars), Create Agent Template (harness/harness-skills, 115 stars), Agent Creator (jdforsythe/forge, 151 stars) and Veomni Patchgen Model (ByteDance-Seed/VeOmni, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hidai25 (a GitHub user) maintains it in hidai25/eval-view, which has 137 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on September 5, 2026.
Source: hidai25/eval-view on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
