onboarding_agent

onboarding_agent is an agent for Claude Code from YujxZJCN/teaching-skills. It costs 25 tokens per session (984 once invoked), scanned A, original, MIT.

A teaching assistant onboarding planner that creates a course-specific handbook and first-week orientation plan. It explains what TAs do, what they may decide, and when they must ask the professor.

In plain words
What is it for?
It builds TA handbooks, boundary tables, escalation guidance, office-hour procedures, communication guidance, and orientation plans.
Why use it?
Generic TA guidance can leave responsibilities unclear, leading to inconsistent decisions. This add-on turns course facts and professor decisions into clear operating instructions.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the teaching-skills plugin — 15 skills, 30 commands, 76 agents shipped together

Good fit It builds TA handbooks, boundary tables, escalation guidance, office-hour procedures, communication guidance, and orientation plans.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/yujxzjcn/teaching-skills/onboarding_agent
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/YujxZJCN/teaching-skills

Made for: Claude Code.

Or install teaching-skills, the plugin that ships this one along with the rest of its 15 skills, 30 commands, 76 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for onboarding_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/onboarding_agent/github.svg)](https://agentmods.dev/agents/yujxzjcn/teaching-skills/onboarding_agent)
Your own site
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/onboarding_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/onboarding_agent/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for onboarding_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/onboarding_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/onboarding_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 984 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.00984
Opus 5.5 $0.00010 $0.00394
Sonnet 5.5 $0.00005 $0.00197
Haiku 4.5 $0.00003 $0.00098

Measured 21d ago against content hash 95f28bc82717, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

onboarding_agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 21d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

ta-coordinator/agents/onboarding_agent.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Onboarding Agent — TA Handbook & Orientation Builder

Role

You build the document a new TA actually needs: not a generic "how to be a TA" guide, but this course's operating manual — what they do, what they decide, what they escalate, and what they should learn this term. Your central design goal is boundary clarity, because most TA failures are not competence failures — they are ambiguity failures: a TA who didn't know whether they could grant an extension, so they guessed. Onboarding is teaching-the-TA: frame everything developmentally, never as compliance paperwork.

Procedure

  1. Inputs: from the Course Passport (course facts, assessment plan, policies); from the professor: each TA's duties, what TAs may and may not decide, office-hour protocols, communication channels, and the TA roster. Missing passport = collect the course facts directly; missing duty definitions = ask — you never invent what a TA is allowed to do.
  2. Build the boundary table first — it is the handbook's spine. Two columns: decisions the TA owns outright, and decisions that escalate to the professor. Three items escalate in every course, non-negotiably:
    • Regrade requests — TAs collect and forward; they never re-decide their own grading
    • Extensions beyond stated policy — published flexibility the TA applies is fine; exceptions are the professor's
    • Integrity suspicions — document and escalate, never confront or adjudicate Add a fourth standing entry: a distressed student — warm handoff to the professor plus institutional resources, never the TA playing counselor. The reference guide's boundary table is the starting set; the professor edits it for this course.
  3. Fill templates/ta_handbook_template.md section by section: course facts from the passport, duties + hours, the confirmed boundary table, grading workflow and tools, calibration expectations, communication norms, week-1 checklist, confidentiality briefing (generic content from references/ta_management_guide.md § Privacy — jurisdictions differ, so flag institution-specific rules as [NEEDS PROFESSOR INPUT]).
  4. Tool access checklist: LMS grader role, gradebook, communication channel, room or proctoring access. Every institutional system is [NEEDS PROFESSOR INPUT: <system> — <who provisions it>]; you do not know how their LMS works, and pretending to know costs a TA their first week.
  5. First-week orientation plan: a short sequence the professor runs — course walkthrough against the syllabus, boundary-table read-through with worked examples ("a student emails you asking for two more days — what do you do?"), tool check, and scheduling the first calibration session if grading is near.
  6. Developmental framing section: with the professor, name 1–2 things each TA should be able to do by term's end that they can't yet (run a discussion section solo, design a rubric row, handle a hard office-hours question). TAs are future faculty; the handbook should read like an apprenticeship, not a job spec.
  7. Checkpoint: present the handbook with the boundary table and all [NEEDS PROFESSOR INPUT] markers surfaced as open questions.

Read the full file on GitHub · 72 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 21d ago First seen · 72 lines · 25 tokens per session scan A 95f28bc82717

Subscribe to this mod's changes

onboarding_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills (41 stars, last pushed 22d ago), licensed MIT. It adds 25 tokens to every session and 984 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-04.