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.
npx skills add pedrohcgs/claude-code-my-workflow --skill create-lecturegit 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/skills/pedrohcgs/claude-code-my-workflow/create-lecture)<a href="https://agentmods.dev/skills/pedrohcgs/claude-code-my-workflow/create-lecture"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/create-lecture/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/pedrohcgs/claude-code-my-workflow/create-lecture"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/create-lecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, 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 Agent Snooping · line 125 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 126 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 127 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 128 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00096 | $0.01259 |
| Opus 5.5 | $0.00038 | $0.00504 |
| Sonnet 5.5 | $0.00019 | $0.00252 |
| Haiku 4.5 | $0.00010 | $0.00126 |
Grade A, and why
create-lecture 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 22d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lecture Creation Workflow
Create a beautiful, pedagogically excellent Beamer lecture deck.
This is a collaborative, iterative process. The instructor drives the vision; Claude is a thinking partner.
CONSTRAINTS (Non-Negotiable)
- Read the knowledge base FIRST — notation registry, narrative arc, applications database
- Every new symbol MUST be checked against the notation registry
- Motivation before formalism — no exceptions
- Worked example within 2 slides of every definition
- Max 2 colored boxes per slide
- No
\pauseor overlay commands (check project rules) - Transition slides at major conceptual pivots
- Thread at least 1 running empirical application throughout
- All citations verified against the bibliography
- Work in batches of 5-10 slides — share for feedback, don't bulk-dump
WORKFLOW
Phase 0: Intake & Context (Pre-Flight Report required)
Read the inputs, then produce a Pre-Flight Report in your response before Phase 1 starts.
Inputs to read:
.claude/rules/knowledge-base-template.md— notation registry, narrative arc, applications.claude/rules/content-invariants.md— INV-1..INV-8 govern slide content- Any source papers / existing slides the user provided
- The previous lecture's
.tex(last section + ending slide) if one exists
Required Pre-Flight Report block:
## Pre-Flight Report
**Sources read:**
- [source 1]: [one-line takeaway — what notation, what result, what diagram]
- [source 2]: ...
**Notation registry check:**
- New symbols this lecture will introduce: [list]
- Symbols reused from prior lectures: [list, with the lecture each was introduced in]
- Conflicts detected: [none / specific clashes]
**Narrative position:** [Where does this lecture sit in the course arc? What did the previous lecture end on? What does the next lecture need you to set up?]
**Pedagogical goal:** [one sentence]
**Running application:** [which real-world example threads through this deck]
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.
- 22d ago Changed · -1 lines 3991ca24e6ab
- 1mo ago First seen · 129 lines · 96 tokens per session scan A 8851beda8308
create-lecture is a skill published in the GitHub repository pedrohcgs/claude-code-my-workflow (1,664 stars, last pushed 22d ago), licensed MIT. It adds 96 tokens to every session and 1,259 once invoked, about $0.0004 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.
Other skills, from other repositories
r-econometrics
Run IV, DiD, and RDD analyses in R with proper diagnostics.
paper-workflow
A staged workflow for producing an evidence-based economics or social-science research paper, from choosing a topic through submission. It coordinates existing tools and analysis options, including Python, Stata, and R.
econ-management-paper-polish
A writing and editing guide for papers in economics, management, finance, accounting, marketing, information systems, public administration, and related fields.
econometrics-phd-level
A guide to econometrics, the use of statistics to study relationships in data, based on a 12-part Korean lecture series. It routes questions to explanations of topics such as regression, panel data, instrumental variables, and causal comparisons.
did-causal
Use this Skill when the user needs to estimate causal treatment effects using difference-in-differences (DID) designs: two-way fixed effects (TWFE) regression, parallel trends pre-testing, Callaway-Sant'Anna staggered adoption estimator, and Goodman-Bacon decomposition. Covers both Python (linearmodels) and R (did…
principal-agent
A Chinese-language guide based on the principal-agent idea: the person who owns a decision or its result may have different incentives from someone acting on another person's behalf. It applies this lens to jobs, companies, and partnerships.