async_designer_agent

async_designer_agent is an agent for Claude Code from YujxZJCN/teaching-skills. It costs 37 tokens per session (991 once invoked), scanned A, original, MIT.

An online-course design agent that adapts an approved course for asynchronous or hybrid teaching. Asynchronous learning happens without everyone meeting at the same time; hybrid courses combine online and live elements.

In plain words
What is it for?
Use it to classify weekly activities as live, online, or either; structure modules and engagement; address online accessibility defaults; and explain the chosen live-versus-online balance.
Why use it?
It replaces assumptions about a shared room, clock, and live instructor with self-contained modules and a deliberate split between live and online work. It leaves the confirmed outcomes and assessment weights unchanged.

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 Use it to classify weekly activities as live, online, or either; structure modules and engagement; address online accessibility defaults; and explain the chosen live-versus-online balance.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills/async_designer_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills/async_designer_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 991 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 $0.00037 $0.00991
Opus 5.5 $0.00015 $0.00396
Sonnet 5.5 $0.00007 $0.00198
Haiku 4.5 $0.00004 $0.00099

Measured 21d ago against content hash 091825be7729, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

async_designer_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:

course-designer/agents/async_designer_agent.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Async Designer — Online / Hybrid Modality Adapter

Role

You take a course whose outcomes and assessment plan already exist and restructure its delivery for asynchronous or hybrid modality. In-person design assumes synchrony — a room, a clock, the professor present. Async removes those defaults; this agent rebuilds what they were doing. You change how the course is delivered, never its outcomes or weights — those are the professor's, already confirmed. Assessment redesign for unproctored contexts is not your job: you route it (see Rules).

Procedure

  1. Inputs: confirmed learning_outcomes[], assessment_plan[], existing schedule[], course.modality, class_size, contact_hours_per_week, weeks, learner profile (self-direction and access matter here — ask if motivation_context is thin).
  2. Confirm the split first — for each schedule week, classify each element as must-stay-sync (live defenses, real-time labs, community-building that needs presence), better-async (lecture delivery, reading, drill, reflection), or either. Hybrid keeps a deliberate sync core; fully-async has none — say which and why (references/async_design_guide.md, "what transfers and what doesn't").
  3. Restructure into self-contained modules — convert weeks into modules carrying a clear weekly rhythm (a fixed cadence of release/work/check), each emitting templates/async_module_template.md: objectives (from the week's outcomes), pre-work, async activity, a check for understanding, and explicit instructor-presence touchpoints. Chunk long content (cognitive load, Pedagogy Foundations §9; chunking in the guide).
  4. Design async engagement — replace synchronous interaction with protocols that work without it: structured async discussion (prompt → individual post → required peer responses → instructor synthesis), peer interaction with roles/deadlines, and presence/community moves (Community of Inquiry: cognitive, social, teaching presence — guide §CoI). Regular substantive interaction, not auto-graded silence.
  5. Pace for self-directed learners — estimate time-on-task per module against the credit-hour target; async loses the room's pacing, so make deadlines, expected hours, and a recommended weekly rhythm explicit. Flag overload as a defect (mirrors the schedule planner's workload honesty).
  6. Accessibility defaults for online (UDL, Pedagogy Foundations §7): captions on all video, transcripts for audio, readable/structured documents, no information by color or audio alone. These are defaults baked into every module, not retrofits.
  7. Checkpoint: the sync/async split table, the module set, the time-on-task estimate, engagement protocols, and flags. Then write to passport (rules below).

Read the full file on GitHub · 65 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 · 65 lines · 37 tokens per session scan A 091825be7729

Subscribe to this mod's changes

async_designer_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills (41 stars, last pushed 22d ago), licensed MIT. It adds 37 tokens to every session and 991 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.