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.
Deterministic self-evaluation rubric for decision escalations — scored every run using the FRAME framework.
$ npx skills add ntorga/agent-starter-kit --skill agent-decision -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ntorga/agent-starter-kit agent-decision --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/ntorga/agent-starter-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-decision .claude/skills/agent-decision && 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 "agent-decision" agent skill from https://github.com/ntorga/agent-starter-kit/tree/main/skills/agent-decision into .claude/skills/agent-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-decision", 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/ntorga/agent-starter-kit/tree/main/skills/agent-decisionType 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 ntorga/agent-starter-kit --skill agent-decision -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ntorga/agent-starter-kit agent-decision --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ntorga/agent-starter-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agent-decision .agents/skills/agent-decision && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-decision" agent skill from https://github.com/ntorga/agent-starter-kit/tree/main/skills/agent-decision into .agents/skills/agent-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-decision", 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 ntorga/agent-starter-kit --skill agent-decision -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ntorga/agent-starter-kit agent-decision --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ntorga/agent-starter-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agent-decision .cursor/skills/agent-decision && 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 "agent-decision" agent skill from https://github.com/ntorga/agent-starter-kit/tree/main/skills/agent-decision into .cursor/skills/agent-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-decision", 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/ntorga/agent-starter-kit.git --path skills/agent-decision--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 ntorga/agent-starter-kit --skill agent-decision -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ntorga/agent-starter-kit agent-decision --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ntorga/agent-starter-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agent-decision .gemini/skills/agent-decision && 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 "agent-decision" agent skill from https://github.com/ntorga/agent-starter-kit/tree/main/skills/agent-decision into .gemini/skills/agent-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-decision", 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 ntorga/agent-starter-kit agent-decisionInstalls 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 ntorga/agent-starter-kit --skill agent-decision -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ntorga/agent-starter-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agent-decision .github/skills/agent-decision && 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 "agent-decision" agent skill from https://github.com/ntorga/agent-starter-kit/tree/main/skills/agent-decision into .github/skills/agent-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-decision", 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 ntorga/agent-starter-kit --skill agent-decision -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ntorga/agent-starter-kit agent-decision --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ntorga/agent-starter-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agent-decision .opencode/skills/agent-decision && 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 "agent-decision" agent skill from https://github.com/ntorga/agent-starter-kit/tree/main/skills/agent-decision into .opencode/skills/agent-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-decision", 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.
agent-decisionDeterministic self-evaluation rubric for decision escalations — scored every run using the FRAME framework.
Agent Decision is an agent skill from ntorga/agent-starter-kit. Deterministic self-evaluation rubric for decision escalations — scored every run using the FRAME framework.
Its SKILL.md is about 1.7k 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 Education, covering Quizzes and assessments. The repository describes itself as: The scaffold for your multi-model, personalized Natural Language AI Harness (NLAH) . The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 851e942. 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.
Agent Decision loads about 1.7k tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 896 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 ntorga/agent-starter-kit at commit 851e942, republished under its MIT licence (© ntorga). 896 words, ~1,687 tokens.
.claude/skills/agent-decision/SKILL.md (or your agent's skills folder).This skill defines the procedure agents follow when encountering ambiguity during execution. It enforces a 5-step decision pipeline — classify, define problem, generate options, pick one, format output — and a self-review rubric (FRAME) scored before any escalation is presented to the user. The rubric gates delivery by total score and enforces a hard-fail on any single zero.
Classify the ambiguity. When you encounter missing or unclear information, determine which of these 5 types applies:
Apply the branch.
1-3-1 analysis. When escalating, build your escalation in this order:
Apply the output template. Format the escalation exactly as follows:
The [problem statement in one sentence].
I'm [what I'm working on] and [where I am in the process].
The choice is [decision in plain language]. No jargon.
RECOMMENDATION: [A|B|C] because [reason].
A) [option] — [one-sentence trade-off]
B) [option] — [one-sentence trade-off]
C) [option] — [one-sentence trade-off]Score each criterion. After preparing the escalation, read the FRAME rubric below and assign a score of 0, 1, or 2 to each letter. Show the scoring breakdown to yourself (internal reasoning, not to the user).
Apply the hard-fail rule. If any letter scores 0, do not deliver — go to step 7 immediately.
Determine action by total score:
Did I classify the ambiguity type and apply the correct branch (proceed vs escalate)?
Did I state exactly one problem before generating solutions?
Did I generate 3 meaningfully different options?
Did I choose one option and state the reason?
RECOMMENDATION: [option] because [reason]. The reason traces back to the root problem defined in R.Did I follow the 5-part structured question format exactly?
© ntorga, MIT. 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/agent-decision of ntorga/agent-starter-kit.
Open the folder on GitHubat commit 851e942
Agent Decision 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 |
|---|---|---|---|---|---|---|
| Agent Decision this skillntorga/agent-starter-kit | 146 | — | ~1.7k | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 65k | — | ~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 | 65k | — | ~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…
ntorga/agent-starter-kit
Long-term and session memory across sessions. An agent skill from ntorga/agent-starter-kit.
ntorga/agent-starter-kit
Builds the design tree for the grill — decisions mapped as nodes with dependencies, recommendations, and impact, pruned by path.
ntorga/agent-starter-kit
Grounds the grill's settled decisions in the codebase — annotates impl.md with file paths, signatures, reference files, test specs, and LOC; re-grounds the next epic after each landing.
ntorga/agent-starter-kit
Session startup — gitignore, auto-update, memory, rules, context, CLI config, and greet.
ntorga/agent-starter-kit
Browser inspection and interaction for verifying rendered web UI during development.
ntorga/agent-starter-kit
Reviews code and plans for logic coherence, correctness, and structural integrity.
Categories
Deterministic self-evaluation rubric for decision escalations — scored every run using the FRAME framework. Agent Decision is an agent skill from ntorga/agent-starter-kit. Deterministic self-evaluation rubric for decision escalations — scored every run using the FRAME framework.
Agent Decision fits situations like: tasks that involve Quizzes and assessments.
Run `npx skills add ntorga/agent-starter-kit --skill agent-decision -a claude-code`. Or copy the skill folder (skills/agent-decision in ntorga/agent-starter-kit) into .claude/skills/agent-decision in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ntorga/agent-starter-kit --skill agent-decision -a codex`. Or copy the skill folder (skills/agent-decision in ntorga/agent-starter-kit) into .agents/skills/agent-decision 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 ntorga/agent-starter-kit --skill agent-decision -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-decision, .gemini/skills/agent-decision, .github/skills/agent-decision and .opencode/skills/agent-decision in your project.
SKILL.md names no scripts, command-line tools or credentials: Agent Decision 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.
Agent Decision is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Agent Decision: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 65k stars), Codebase to Course (zarazhangrui/codebase-to-course, 5.7k stars) and AI Engineering Phase Quiz (rohitg00/ai-engineering-from-scratch, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ntorga (a GitHub user) maintains it in ntorga/agent-starter-kit, which has 146 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 12, 2026.
Source: ntorga/agent-starter-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.