Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Start EvalView watch mode to automatically re-run regression checks whenever project files change.
Install Watch
$ npx skills add hidai25/eval-view --skill watch -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hidai25/eval-view watch --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/watch .claude/skills/watch && 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 "watch" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/watch into .claude/skills/watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "watch", 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/watchType 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 watch -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hidai25/eval-view watch --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/watch .agents/skills/watch && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "watch" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/watch into .agents/skills/watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "watch", 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 watch -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hidai25/eval-view watch --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/watch .cursor/skills/watch && 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 "watch" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/watch into .cursor/skills/watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "watch", 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/watch--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 watch -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hidai25/eval-view watch --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/watch .gemini/skills/watch && 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 "watch" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/watch into .gemini/skills/watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "watch", 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 watchInstalls 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 watch -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/watch .github/skills/watch && 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 "watch" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/watch into .github/skills/watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "watch", 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 watch -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 watch --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/watch .opencode/skills/watch && 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 "watch" agent skill from https://github.com/hidai25/eval-view/tree/main/skills/watch into .opencode/skills/watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "watch", 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
watch- GitHub stars
- 137
- Token cost
- ~577 tokens
- SKILL.md length
- 230 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Start EvalView watch mode to automatically re-run regression checks whenever project files change.
- Tasks that involve Building AI agents
- SKILL.md covers What this does, How to start watch mode, Prerequisites and Notes
- Calls pip
What it does
Watch is an agent skill from hidai25/eval-view. Start EvalView watch mode to automatically re-run regression checks whenever project files change.
Its SKILL.md is about 580 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 AI & LLM Engineering, covering 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.
When your agent uses it
- Tasks that involve Building AI agents
Example prompts
- “/watch”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 394f7d7. 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
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Watch loads about 577 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 230 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 hidai25/eval-view at commit 394f7d7, republished under its Apache-2.0 licence (© hidai25). 230 words, ~577 tokens.
Download SKILL.mdSave it as
.claude/skills/watch/SKILL.md (or your agent's skills folder).- name
- watch
- description
- Start EvalView watch mode to automatically re-run regression checks whenever project files change.
Watch Mode
Use this skill when the user wants continuous regression monitoring during development. Watch mode observes file changes and automatically re-runs evalview check with debounced triggers.
What this does
EvalView's watch mode uses watchdog to monitor directories for file changes (.py, .yaml, .yml, .json, .md, .txt, .toml, .cfg, .ini). When a change is detected, it runs a regression check via the gate() API and displays a live scorecard with pass/fail status, score deltas, tool changes, and streak tracking.
How to start watch mode
Watch mode is a CLI command (not an MCP tool). Help the user run it:
evalview watchCommon options
--quick— Skip LLM judge, deterministic checks only ($0 cost, sub-second)--path src/ --path tests/— Watch specific directories (default: current directory)--test "my-test"— Only check a specific test by name--test-dir tests/evalview— Path to test cases directory (default:tests)--interval 1— Debounce interval in seconds (default: 2.0)--fail-on REGRESSION,TOOLS_CHANGED— Comma-separated statuses that count as failure (default: REGRESSION)--sound— Terminal bell on regression
Examples
# Basic: watch everything, full checks
evalview watch
# Fast development loop: no LLM judge, 1-second debounce
evalview watch --quick --interval 1
# Watch specific directories and one test
evalview watch --path src/ --path tests/ --test "calculator-division"
# Strict mode: fail on any behavioral change
evalview watch --fail-on REGRESSION,TOOLS_CHANGED,OUTPUT_CHANGED --soundPrerequisites
Watch mode requires the watchdog package. If not installed:
pip install evalview[watch]Notes
- Watch mode excludes
.evalview/,.git/,venv/,node_modules/,__pycache__/, and other common non-source directories automatically. - The initial check runs immediately on startup before watching begins.
- Results include a live scorecard with pass counts, regression counts, health percentage, and streak info.
--quickmode is ideal for tight development loops since it costs nothing and runs in sub-second time.
© 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
Files
Just SKILL.md in skills/watch of hidai25/eval-view.
Open the folder on GitHubat commit 394f7d7
Compare with similar skills
Watch 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 |
|---|---|---|---|---|---|---|
| Watch this skillhidai25/eval-view | 137 | — | ~577 | Automated safety check: Pass | Apache-2.0 | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Paperclip Create Agentpaperclipai/paperclip | 99k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 4 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| Create Agentgnekt/My-Brain-Is-Full-Crew | 3.9k | — | ~3.1k | Automated safety check: Pass | Custom licence |
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Paperclip Create Agent
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Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
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More from hidai25/eval-view
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Generate EvalView test cases — either from a SKILL.md file using LLM-powered generation, or by capturing real agent interactions through a proxy.
Run Eval
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Run EvalView regression checks against golden baselines to detect regressions in AI agent behavior after code, prompt, or model changes.
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Related
Categories
Questions about Watch
What does Watch do?
Start EvalView watch mode to automatically re-run regression checks whenever project files change. Watch is an agent skill from hidai25/eval-view. Start EvalView watch mode to automatically re-run regression checks whenever project files change.
When should I use Watch?
Watch fits situations like: tasks that involve Building AI agents.
How do I install Watch in Claude Code?
Run `npx skills add hidai25/eval-view --skill watch -a claude-code`. Or copy the skill folder (skills/watch in hidai25/eval-view) into .claude/skills/watch in your project. Claude Code loads it when a task matches its description.
How do I install Watch in Codex?
Run `npx skills add hidai25/eval-view --skill watch -a codex`. Or copy the skill folder (skills/watch in hidai25/eval-view) into .agents/skills/watch in your project. Codex loads it when a task matches its description.
Can I use Watch 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 hidai25/eval-view --skill watch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/watch, .gemini/skills/watch, .github/skills/watch and .opencode/skills/watch in your project.
What does Watch need to run?
Going by SKILL.md and its folder, Watch needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
Does Watch access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Watch 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 Watch use?
Watch 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.
How many tokens does Watch use?
About 577 tokens (SKILL.md is roughly 2.3k 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 Watch?
Skills that share tags, products or a category with Watch: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Azure AI Projects Python SDK (microsoft/skills, 3.1k stars), Paperclip Create Agent (paperclipai/paperclip, 99k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Watch?
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.