DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
Authors deterministic and LLM rubric graders for skillgrade evaluations.
$ npx skills add mgechev/skillgrade --skill skillgrade-graders -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mgechev/skillgrade skillgrade-graders --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/mgechev/skillgrade.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skillgrade-graders .claude/skills/skillgrade-graders && 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 "skillgrade-graders" agent skill from https://github.com/mgechev/skillgrade/tree/main/skills/skillgrade-graders into .claude/skills/skillgrade-graders/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillgrade-graders", 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/mgechev/skillgrade/tree/main/skills/skillgrade-gradersType 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 mgechev/skillgrade --skill skillgrade-graders -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mgechev/skillgrade skillgrade-graders --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mgechev/skillgrade.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skillgrade-graders .agents/skills/skillgrade-graders && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skillgrade-graders" agent skill from https://github.com/mgechev/skillgrade/tree/main/skills/skillgrade-graders into .agents/skills/skillgrade-graders/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillgrade-graders", 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 mgechev/skillgrade --skill skillgrade-graders -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mgechev/skillgrade skillgrade-graders --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mgechev/skillgrade.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skillgrade-graders .cursor/skills/skillgrade-graders && 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 "skillgrade-graders" agent skill from https://github.com/mgechev/skillgrade/tree/main/skills/skillgrade-graders into .cursor/skills/skillgrade-graders/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillgrade-graders", 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/mgechev/skillgrade.git --path skills/skillgrade-graders--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 mgechev/skillgrade --skill skillgrade-graders -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mgechev/skillgrade skillgrade-graders --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mgechev/skillgrade.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skillgrade-graders .gemini/skills/skillgrade-graders && 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 "skillgrade-graders" agent skill from https://github.com/mgechev/skillgrade/tree/main/skills/skillgrade-graders into .gemini/skills/skillgrade-graders/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillgrade-graders", 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 mgechev/skillgrade skillgrade-gradersInstalls 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 mgechev/skillgrade --skill skillgrade-graders -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mgechev/skillgrade.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skillgrade-graders .github/skills/skillgrade-graders && 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 "skillgrade-graders" agent skill from https://github.com/mgechev/skillgrade/tree/main/skills/skillgrade-graders into .github/skills/skillgrade-graders/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillgrade-graders", 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 mgechev/skillgrade --skill skillgrade-graders -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mgechev/skillgrade skillgrade-graders --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mgechev/skillgrade.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skillgrade-graders .opencode/skills/skillgrade-graders && 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 "skillgrade-graders" agent skill from https://github.com/mgechev/skillgrade/tree/main/skills/skillgrade-graders into .opencode/skills/skillgrade-graders/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillgrade-graders", 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.
skillgrade-gradersAuthors deterministic and LLM rubric graders for skillgrade evaluations.
Skillgrade Graders is an agent skill from mgechev/skillgrade. Authors deterministic and LLM rubric graders for skillgrade evaluations. Use when creating scoring scripts, writing evaluation rubrics, or combining multiple graders with weighted scoring. Don't use for setting up eval pipelines, configuring eval.yaml defaults, or general test writing.
Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/grader-output-schema.md`).
It sits in Education, covering Quizzes and assessments. The repository describes itself as: "Unit tests" for your agent skills. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit bb213d4. 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 (its code samples are yaml and json).
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 these keys or tokens, usually read from environment variables:
GEMINI_API_KEYANTHROPIC_API_KEYOPENAI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Skillgrade Graders loads about 972 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 362 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 mgechev/skillgrade at commit bb213d4, republished under its MIT licence (© mgechev). 362 words, ~972 tokens.
.claude/skills/skillgrade-graders/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Step 1: Identify the Grading Strategy
Step 2: Write a Deterministic Grader
graders/ directory (bash or TypeScript).{"score": 0.67, "details": "2/3 checks passed", "checks": [{"name": "check-name", "passed": true, "message": "Description"}]}score (0.0–1.0) and details are required. checks is optional but recommended.references/grader-output-schema.md for the full output specification.awk for arithmetic in bash scripts — bc is not available in node:20-slim.- type: deterministic
run: bash graders/check.sh
weight: 0.7Step 3: Write an LLM Rubric Grader
Workflow Compliance (0-0.5):
- Did the agent follow the mandatory workflow steps?
Efficiency (0-0.5):
- Completed in ≤5 commands without trial-and-error?- type: llm_rubric
rubric: |
[rubric text or file path]
weight: 0.3
provider: gemini # optional: gemini (default) | anthropic | openai
model: gemini-3.5-flash # optional model override (defaults to the latest dynamically resolved flash model)rubric: rubrics/quality.md.Step 4: Combine Multiple Graders
Σ (grader_score × weight) / Σ weight.graders:
- type: deterministic
run: bash graders/check.sh
weight: 0.7
- type: llm_rubric
rubric: rubrics/quality.md
weight: 0.3Step 5: Validate Graders
skillgrade --validate to verify graders score the reference solution correctly.skillgrade --grader=deterministic (skips LLM calls, faster iteration).skillgrade --grader=llm_rubric.skillgrade --eval=my-eval --grader=deterministic.echo/console.log statements except the final JSON result are redirected to stderr.GEMINI_API_KEY (provider: gemini), ANTHROPIC_API_KEY (provider: anthropic), or OPENAI_API_KEY (provider: openai).ANTHROPIC_BASE_URL (for provider: anthropic) or OPENAI_BASE_URL (for provider: openai) — e.g. for Ollama or vLLM.© mgechev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/skillgrade-graders of mgechev/skillgrade.
Open the folder on GitHubat commit bb213d4
Skillgrade Graders 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 |
|---|---|---|---|---|---|---|
| Skillgrade Graders this skillmgechev/skillgrade | 720 | — | ~972 | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 67k | — | ~2k | Automated safety check: Pass | MIT | |
| Codebase to Coursezarazhangrui/codebase-to-course | 5.7k | — | ~4.4k | Automated safety check: Pass | None | |
| AI Engineering Phase Quizrohitg00/ai-engineering-from-scratch | 67k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Scholar EvaluationK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~2.9k | Automated safety check: Notes | MIT |
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
rohitg00/ai-engineering-from-scratch
Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.
zarazhangrui/codebase-to-course
Turns a codebase into an interactive single-page HTML course for non-technical learners, with scroll modules, animated diagrams, quizzes and plain-English code translations.
rohitg00/ai-engineering-from-scratch
Quizzes you on a completed phase of the AI Engineering from Scratch course, taking a phase number or name and mapping it to that phase's directory.
K-Dense-AI/claude-scientific-writer
Provide qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls.
guanyang/open-agent-hub
This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and…
mgechev/skillgrade
Sets up and runs skillgrade evaluation pipelines for Agent Skills.
Categories
Authors deterministic and LLM rubric graders for skillgrade evaluations. Skillgrade Graders is an agent skill from mgechev/skillgrade. Authors deterministic and LLM rubric graders for skillgrade evaluations.
Skillgrade Graders fits situations like: creating scoring scripts; writing evaluation rubrics; combining multiple graders with weighted scoring; setting up eval pipelines.
Run `npx skills add mgechev/skillgrade --skill skillgrade-graders -a claude-code`. Or copy the skill folder (skills/skillgrade-graders in mgechev/skillgrade) into .claude/skills/skillgrade-graders in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mgechev/skillgrade --skill skillgrade-graders -a codex`. Or copy the skill folder (skills/skillgrade-graders in mgechev/skillgrade) into .agents/skills/skillgrade-graders 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 mgechev/skillgrade --skill skillgrade-graders -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skillgrade-graders, .gemini/skills/skillgrade-graders, .github/skills/skillgrade-graders and .opencode/skills/skillgrade-graders in your project.
Going by SKILL.md and its folder, Skillgrade Graders needs credentials named GEMINI_API_KEY, ANTHROPIC_API_KEY and OPENAI_API_KEY. Our summary lists: A credential in GEMINI_API_KEY; A credential in ANTHROPIC_API_KEY.
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.
Skillgrade Graders is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 972 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 356 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Skillgrade Graders: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 67k stars), Codebase to Course (zarazhangrui/codebase-to-course, 5.7k stars) and AI Engineering Phase Quiz (rohitg00/ai-engineering-from-scratch, 67k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mgechev (a GitHub user) maintains it in mgechev/skillgrade, which has 720 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 5, 2026.
Source: mgechev/skillgrade on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.