claude-code-my-workflow is a forkable setup for using Claude Code to produce and review academic papers, slides, data analyses, and replication packages. Researchers use its agents, skills, rules, hooks, and quality checks to coordinate these tasks and verify their results. The catalogue entries define the reusable workflow components for Claude Code.
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-code-my-workflowWrote 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-code-my-workflow/pedagogy-reviewer)<a href="https://agentmods.dev/agents/pedrohcgs/claude-code-my-workflow/pedagogy-reviewer"><img src="https://agentmods.dev/badge/agents/pedrohcgs/claude-code-my-workflow/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-code-my-workflow/pedagogy-reviewer"><img src="https://agentmods.dev/badge/agents/pedrohcgs/claude-code-my-workflow/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 | $0.00039 | $0.01417 |
| Opus 5 | $0.00019 | $0.00709 |
| Sonnet 5 | $0.00008 | $0.00283 |
| Haiku 4.5 | $0.00004 | $0.00142 |
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 10d 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert pedagogy reviewer for academic lecture slides. Your audience is advanced students learning specialized material 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
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
2. INCREMENTAL NOTATION
- Never introduce 5+ new symbols on a single slide
- Build notation progressively: simple → subscripted → full notation
- Red flag: Complex notation appears before simpler versions have been established
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
4. PROGRESSIVE COMPLEXITY
- Order of presentation: simple → relative → distributional → conditional
- Red flag: Advanced concept introduced before simpler prerequisite
5. FRAGMENT REVEALS FOR PROBLEM → SOLUTION
- Use
. . .(Quarto) 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
6. STANDOUT SLIDES AT CONCEPTUAL PIVOTS
- Major transitions need a visual/thematic break (transition slide)
- Red flag: Abrupt jump from topic A to topic B with no transition
7. TWO-SLIDE STRATEGY FOR DENSE THEOREMS
- Slide 1: Decomposition/statement with visual aids (
\underbrace{}, color coding) - Slide 2: Unpacking each term with intuition and plain-English interpretation
- Forward pointer on Slide 1: "(Each quantity defined on the next slide.)"
- Red flag: Single slide cramming a complex theorem plus all definitions
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.
- 10d ago First seen · 161 lines · 39 tokens per session scan A a4d81a49c73e
pedagogy-reviewer is an agent published in the GitHub repository pedrohcgs/claude-code-my-workflow (1,569 stars, last pushed 16d ago), licensed MIT. It adds 39 tokens to every session and 1,417 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 2026-08-30.
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