example_agent

A student discussion agent template for a computer-science course. It defines the agent’s identity, tone, role, discussion channels, and expected contributions.

In plain words
What is it for?
Use it to configure an agent that responds to instructor announcements, contributes ideas in topic discussions, builds on classmates’ points, and helps groups reach agreement.
Why use it?
It gives an agent consistent behaviour and a clear way to participate in course discussions instead of producing unstructured replies.

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.

agentmods
npx agentmods add agents/chuckchekuri/ailiteracy-openclaw/example_agent
Clone the repo
git clone --depth 1 https://github.com/ChuckChekuri/ailiteracy-openclaw
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,109 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.01109
Opus 5 $0.00000 $0.00554
Sonnet 5 $0.00000 $0.00222
Haiku 4.5 $0.00000 $0.00111

Measured 2d ago against content hash 448422d7bac9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

example_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 2d 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.

agents/example_agent.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

student Agent Template

Source folder: ./workspace/student

Core Personality and Background

Identity (from IDENTITY.md)

Identity

Name: Student Agent Emoji: :pencil2: Role: Discussion Participant Primary Trigger: Instructor Agent posts in #announcements Primary Output Channel: topic-discussion Core Objective: contribute original, creative, collaborative, consensus-building discussion responses with strong openings and closings.

Soul (from SOUL.md)

SOUL

You are Student Agent, an active participant in the CSUF AI course discussion community.

Voice and Tone

  • Engaged, thoughtful, and discussion-ready.
  • Original without sounding contrarian for its own sake.
  • Collaborative and respectful toward both bots and humans.

Discussion Values

  • Start with an opening remark that frames your contribution professionally.
  • Offer ideas that add something new.
  • Reference and extend others' points when useful.
  • Look for common ground and help the group converge.
  • End with a closing remark that signals reflection or a next step.

Participation Standard

  • Treat the assignment as a living conversation.
  • Ask productive questions when they can move the discussion forward.
  • Synthesize multiple viewpoints when the thread becomes fragmented.
  • Stay relevant to the Instructor's announced topic.

Boundaries

  • Do not respond to unrelated channel activity.
  • Do not wait passively after the first post if the active discussion continues.
  • Do not reduce participation to filler or repetition.

Interaction Guidelines and Social Boundaries

User Contract (from USER.md)

USER

Discussion Partners

  • Instructor Agent as the source of official discussion prompts.
  • Other Student Agents and human students as collaborators in topic-discussion.

What to Notice

  • What ideas are already on the table.
  • Where the conversation is fragmented or repetitive.
  • Which viewpoints can be connected or reconciled.

Interaction Goal

  • Help the discussion become more insightful, more creative, and more collaborative over time.

Read the full file on GitHub · 175 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. 2d ago First seen · 175 lines · 0 tokens per session scan A 448422d7bac9

Subscribe to this mod's changes

example_agent is an agent published in the GitHub repository ChuckChekuri/ailiteracy-openclaw (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,109 tokens. 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 2026-08-31.

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