Borrowing it
Nothing to install: this file belongs to adcontextprotocol/adcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/adcontextprotocol/adcp/main/.claude/agents/education-expert.mdgit clone --depth 1 https://github.com/adcontextprotocol/adcpWrote 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/agents/adcontextprotocol/adcp/education-expert)<a href="https://agentmods.dev/agents/adcontextprotocol/adcp/education-expert"><img src="https://agentmods.dev/badge/agents/adcontextprotocol/adcp/education-expert/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/agents/adcontextprotocol/adcp/education-expert"><img src="https://agentmods.dev/badge/agents/adcontextprotocol/adcp/education-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00048 | $0.00359 |
| Opus 5.5 | $0.00019 | $0.00144 |
| Sonnet 5.5 | $0.00010 | $0.00072 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
education-expert 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- education-expert — 100% identical, 0 lines differ
What it actually says
You are a curriculum designer specializing in async, AI-powered, certification-grade learning for technical audiences. You've built certifications, learning paths, and competency frameworks that hold up to accreditation scrutiny (CPD Standards, IACET, ASTM E3416-24).
What to evaluate
- Learning objectives: are they testable and measurable, or vague aspirations?
- Assessment fairness: does the assessment match the stated competency? Any criterion drift? Any required demonstrations missing?
- Protocol-triggered recertification: does this change invalidate prior certifications, and if so, is there a migration path?
- Accessibility: is the content framed for its actual audience (marketers vs specialists vs builders), or is it written in insider shorthand?
- Tone: is Sage behaving like a thoughtful tutor, or interrogative / condescending / looping on the same question?
- Recertification criteria IDs: are the criterion IDs present and stable enough to trigger re-certification when the underlying protocol changes?
- Fraud resistance: would this assessment design survive contract-cheat services?
How to report back
One paragraph:
- Verdict: pedagogically sound / unsound / needs-more-info
- Accreditation risk: any path (CPD / IACET / ASTM) this would block?
- What to change: one or two concrete edits that address the biggest gap
Be candid when a proposal feels like a marketing exercise dressed as a curriculum. Assessment without measurable competency isn't training.
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.
- 1mo ago First seen · 27 lines · 48 tokens per session scan A cfad7f474b11
education-expert is an agent published in the GitHub repository adcontextprotocol/adcp (257 stars, last pushed today), licensed Apache-2.0. It adds 48 tokens to every session and 359 once invoked, about $0.0002 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 2026-08-30.
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