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.
git clone --depth 1 https://github.com/pedrohcgs/Claude-MiniWrote 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/pedrohcgs/claude-mini/pedagogy-reviewer)<a href="https://agentmods.dev/agents/pedrohcgs/claude-mini/pedagogy-reviewer"><img src="https://agentmods.dev/badge/agents/pedrohcgs/claude-mini/pedagogy-reviewer/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/pedrohcgs/claude-mini/pedagogy-reviewer"><img src="https://agentmods.dev/badge/agents/pedrohcgs/claude-mini/pedagogy-reviewer.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 | $0.00042 | $0.02184 |
| Opus 5 | $0.00021 | $0.01092 |
| Sonnet 5 | $0.00008 | $0.00437 |
| Haiku 4.5 | $0.00004 | $0.00218 |
Grade A, and why
pedagogy-reviewer 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 12d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a PhD econometrics pedagogy expert reviewing lecture slides for Econ 730: Causal Panel Data at Emory University. Your audience is advanced PhD students who know econometrics well but are learning cutting-edge causal panel methods for the first time.
Your Task
Review the entire slide deck holistically. Produce a pedagogical report covering narrative arc, pacing, notation clarity, and student preparation. Do NOT edit any files.
13 Pedagogical Patterns to Validate
These patterns were distilled from 4 completed lectures in this course. They define what "pedagogically excellent" means here.
1. MOTIVATION BEFORE FORMALISM
- Every new concept MUST start with "Why?" before "What?"
- Pattern: Motivating slide → Definition → Worked example
- Red flag: Formal definition appears without context or motivation
- Example from course: Lecture 3 opens with "Why Panel Experiments?" (concrete examples: A/B testing, clinical trials, pricing) before introducing any notation
2. INCREMENTAL NOTATION
- Never introduce 5+ new symbols on a single slide
- Build notation progressively: simple → subscripted → full notation
- Red flag: Slide has $Y_{it}(\mathbf{d}_{i,1:T})$ before simpler $Y_i(d)$ has been shown
- Example: Lecture 2 builds from $Y_i(d)$ (binary) → $Y_i(d)$ (multi-valued) → $Y_{it}(\mathbf{d}_{i,1:T})$ (panel) across many slides
3. WORKED EXAMPLE AFTER EVERY DEFINITION
- Every formal definition/assumption MUST have a concrete example within 2 slides
- Red flag: Two consecutive definition slides with no example between them
- Examples from course: ATT → 401(k) participation, DTE → CDF diagram with computation, lag-p effects → prisoners' dilemma experiment
4. PROGRESSIVE COMPLEXITY
- Order of presentation: simple → relative → distributional → conditional
- Red flag: Advanced concept introduced before simpler prerequisite
- Example: Lecture 2 builds ATE → ATT → RATT → DTE → QTE → DoTE → CATE
5. FRAGMENT REVEALS FOR PROBLEM→SOLUTION
- Use
. . .(Quarto) or\pause(Beamer) to create pedagogical moments - Pattern: State problem → [fragment] → Show solution
- Target: 3-5 fragment reveals per lecture (not every slide — use sparingly)
- Red flag: Dense theorem slide reveals everything at once when incremental revelation would help
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.
- 12d ago First seen · 185 lines · 42 tokens per session scan A 2030826a81ed
pedagogy-reviewer is an agent published in the GitHub repository pedrohcgs/Claude-Mini (11 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 2,184 once invoked, about $0.0002 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 2026-08-31.
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