Eval
alirezarezvani/claude-skills
Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
코드 산출물을 4축(기능/품질/독창성/보안)으로 평가하고 점수 산출. An agent skill from jh941213/my-cc-harness.
$ npx skills add jh941213/my-cc-harness --skill eval -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jh941213/my-cc-harness eval --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/jh941213/my-cc-harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/eval .claude/skills/eval && 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 "eval" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills/eval into .claude/skills/eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval", 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/jh941213/my-cc-harness/tree/main/skills/evalType 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 jh941213/my-cc-harness --skill eval -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jh941213/my-cc-harness eval --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/eval .agents/skills/eval && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "eval" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills/eval into .agents/skills/eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval", 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 jh941213/my-cc-harness --skill eval -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jh941213/my-cc-harness eval --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/eval .cursor/skills/eval && 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 "eval" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills/eval into .cursor/skills/eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval", 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/jh941213/my-cc-harness.git --path skills/eval--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 jh941213/my-cc-harness --skill eval -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jh941213/my-cc-harness eval --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/eval .gemini/skills/eval && 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 "eval" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills/eval into .gemini/skills/eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval", 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 jh941213/my-cc-harness evalInstalls 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 jh941213/my-cc-harness --skill eval -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/eval .github/skills/eval && 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 "eval" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills/eval into .github/skills/eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval", 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 jh941213/my-cc-harness --skill eval -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jh941213/my-cc-harness eval --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jh941213/my-cc-harness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/eval .opencode/skills/eval && 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 "eval" agent skill from https://github.com/jh941213/my-cc-harness/tree/main/skills/eval into .opencode/skills/eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eval", 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.
eval코드 산출물을 4축(기능/품질/독창성/보안)으로 평가하고 점수 산출. An agent skill from jh941213/my-cc-harness.
Eval is an agent skill from jh941213/my-cc-harness. 코드 산출물을 4축(기능/품질/독창성/보안)으로 평가하고 점수 산출. Evaluator 에이전트를 스폰하여 독립 평가 실행. Triggers on: eval, 평가, 품질 점수, 코드 평가, quality score. NOT for: 코드 작성, 구현, 리뷰.
Its SKILL.md is about 300 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e9210e2. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashGrepGlobAgentFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
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.
Eval loads about 304 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 97 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Bash, Grep, Glob, AgentAutomated 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 97 words (~304 tokens).
“Generator(구현자)와 분리된 Evaluator 에이전트를 스폰하여 산출물을 독립 평가합니다.”
Just SKILL.md in skills/eval of jh941213/my-cc-harness.
Open the folder on GitHubat commit e9210e2
Eval 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 |
|---|---|---|---|---|---|---|
| Eval this skilljh941213/my-cc-harness | 126 | — | ~304 | Automated safety check: Notes | None | |
| Evalalirezarezvani/claude-skills | 28k | 1 repos | ~618 | Automated safety check: Pass | MIT | |
| Evalhashgraph-online/awesome-codex-plugins | 1.2k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Evalmikeyobrien/rho | 371 | — | ~9.7k | Automated safety check: Pass | MIT | |
| Evalai-analyst-lab/ai-analyst | 304 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Evalagentevals-dev/agentevals | 162 | — | ~904 | Automated safety check: Pass | Apache-2.0 |
alirezarezvani/claude-skills
Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
hashgraph-online/awesome-codex-plugins
Quality and performance evaluation with baseline comparison.
mikeyobrien/rho
Plan and run conversational AI agent evaluations with test generation and analysis.
ai-analyst-lab/ai-analyst
Evaluate a named AI Analyst configuration across a frozen suite.
agentevals-dev/agentevals
Evaluate and score agent behavior against a golden reference.
affaan-m/ECC
Eval-driven development (EDD) framework for AI coding sessions — define capability and regression evals before coding, grade with code-based, model-based, rule, or human graders, and track pass@k…
jh941213/my-cc-harness
REST 및 GraphQL API 설계 원칙 가이드. An agent skill from jh941213/my-cc-harness.
jh941213/my-cc-harness
Build scalable design systems with Tailwind CSS, design tokens, component libraries, and responsive patterns.
jh941213/my-cc-harness
Generate/update architecture docs — ARCHITECTURE.md (codemap), architecture diagrams (C4 mermaid), ADRs (MADR), data model ERD.
jh941213/my-cc-harness
A skill your agent uses when starting substantial work in a repo (implementation, fixes, deploys, debugging), when first exploring a new repo, or when finishing work that produced reusable knowledge.
jh941213/my-cc-harness
Ralph Loop based autonomous development loop. An agent skill from jh941213/my-cc-harness.
jh941213/my-cc-harness
Python asyncio 및 async/await 패턴 가이드. An agent skill from jh941213/my-cc-harness.
코드 산출물을 4축(기능/품질/독창성/보안)으로 평가하고 점수 산출. An agent skill from jh941213/my-cc-harness. Eval is an agent skill from jh941213/my-cc-harness. 코드 산출물을 4축(기능/품질/독창성/보안)으로 평가하고 점수 산출.
Run `npx skills add jh941213/my-cc-harness --skill eval -a claude-code`. Or copy the skill folder (skills/eval in jh941213/my-cc-harness) into .claude/skills/eval in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jh941213/my-cc-harness --skill eval -a codex`. Or copy the skill folder (skills/eval in jh941213/my-cc-harness) into .agents/skills/eval 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 jh941213/my-cc-harness --skill eval -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eval, .gemini/skills/eval, .github/skills/eval and .opencode/skills/eval in your project.
SKILL.md names no scripts, command-line tools or credentials: Eval is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Grep, Glob, Agent.
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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
No licence was found for Eval or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 304 tokens (SKILL.md is roughly 1.2k 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 Eval: Eval (alirezarezvani/claude-skills, 28k stars), Eval (hashgraph-online/awesome-codex-plugins, 1.2k stars), Eval (mikeyobrien/rho, 371 stars) and Eval (ai-analyst-lab/ai-analyst, 304 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jh941213 (a GitHub user) maintains it in jh941213/my-cc-harness, which has 126 GitHub stars. The repository holds 66 skills in this directory. The repository was last updated on August 3, 2026.
Source: jh941213/my-cc-harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.