OpenMAIC is a multi-agent classroom platform that uses agents to plan, build, and revise interactive courses from prompts and uploaded materials. It is designed for immersive learning experiences and supports course components such as slides, quizzes, interactives, projects, images, video, voices, and PowerPoint imports, with catalogue skills covering its workflows.
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.
npx skills add THU-MAIC/OpenMAIC --skill fact-checkgit clone --depth 1 https://github.com/THU-MAIC/OpenMAICWrote 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.
[](https://agentmods.dev/skills/thu-maic/openmaic/fact-check)<a href="https://agentmods.dev/skills/thu-maic/openmaic/fact-check"><img src="https://agentmods.dev/badge/skills/thu-maic/openmaic/fact-check/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.
<a href="https://agentmods.dev/skills/thu-maic/openmaic/fact-check"><img src="https://agentmods.dev/badge/skills/thu-maic/openmaic/fact-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 13 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00109 | $0.01666 |
| Opus 5 | $0.00055 | $0.00833 |
| Sonnet 5 | $0.00022 | $0.00333 |
| Haiku 4.5 | $0.00011 | $0.00167 |
Grade A, and why
fact-check 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fact check
Keep serious factual mistakes and AI hallucinations out of the course without turning course-making into an exhaustive audit. Focus on the few claims that materially affect trust.
Choose the mode from the request and current course state; do not ask the user to choose a mode:
- Creating: when there is no course yet or the user asks to build/rebuild
one, load
stage-designand run the check only after all pages exist. - Reviewing: when content already exists and the user asks to inspect it, report findings first. Do not edit unless fixes were already requested or the user approves findings after the report.
While creating a course
Use the normal stage-design workflow; this skill changes factual handling,
not the teaching method, page style, or build sequence.
After all pages exist, call list_scenes, then read every completed page with
read_stage using detail:"text"; follow nextOffset until all visible text
and narration have been read. Run a quick final sanity check of exact facts and
cross-page contradictions. Correct obvious errors before delivery because
creating the course already authorizes making its content accurate, subject to
the source-of-truth boundary below. Do not interrupt creation with a separate
audit report or approval gate unless that boundary requires a user decision;
briefly mention only material corrections or remaining uncertainty when
handing off the finished course.
When reviewing existing content
For a course, call list_scenes, then read all visible text and narration with
read_stage using detail:"text"; follow nextOffset until complete. Respect a
narrower scope if the user gave one.
Read once for context and silently shortlist high-signal risks:
- exact numbers, dates, counts, names, and attributed quotations;
- laws, standards, formulas, technical definitions, and classifications;
- “first”, “only”, “always”, “must”, and similar absolute claims;
- causal or professional conclusions stated as settled fact;
- contradictions between pages;
- suspiciously specific claims with no visible support.
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.
- 9d ago First seen · 154 lines · 109 tokens per session scan A 44979669a187
fact-check is a skill published in the GitHub repository THU-MAIC/OpenMAIC (34,007 stars, last pushed today), licensed MIT. It adds 109 tokens to every session and 1,666 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
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