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 research-ideationgit 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/research-ideation)<a href="https://agentmods.dev/skills/pedrohcgs/claude-code-my-workflow/research-ideation"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/research-ideation/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/research-ideation"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/research-ideation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00089 | $0.01573 |
| Opus 5 | $0.00044 | $0.00787 |
| Sonnet 5 | $0.00018 | $0.00315 |
| Haiku 4.5 | $0.00009 | $0.00157 |
Grade A, and why
research-ideation 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Ideation
Generate structured research questions, testable hypotheses, and empirical strategies from a topic, phenomenon, or dataset.
Input: $ARGUMENTS — a topic (e.g., "minimum wage effects on employment"), a phenomenon (e.g., "why do firms cluster geographically?"), or a dataset description (e.g., "panel of US counties with pollution and health outcomes, 2000-2020").
Steps
-
Understand the input. Read
$ARGUMENTSand any referenced files. Checkmaster_supporting_docs/for related papers. Check.claude/rules/for domain conventions. -
Generate 3-5 research questions ordered from descriptive to causal:
- Descriptive: What are the patterns? (e.g., "How has X evolved over time?")
- Correlational: What factors are associated? (e.g., "Is X correlated with Y after controlling for Z?")
- Causal: What is the effect? (e.g., "What is the causal effect of X on Y?")
- Mechanism: Why does the effect exist? (e.g., "Through what channel does X affect Y?")
- Policy: What are the implications? (e.g., "Would policy X improve outcome Y?")
-
Tag each RQ with a likely paper type (drawn from
methods-referee.md):reduced-form(DiD, IV, RD, event study, synthetic control)structural(estimation of a fully-specified model)theory+empirics(formal model + empirical test of its predictions)descriptive(measurement, data construction, pattern documentation)formal-theory(pure theory, no empirical test in this paper)survey-experiment(vignette, conjoint, list-experiment)unsure(when multiple types are plausible — the user can pick later via/interview-me)
Use
.claude/references/discipline-cards.mdto bias the distribution by field (econ vs poli-sci default frequencies differ — e.g., poli-sci skews more towardsurvey-experimentandformal-theorythan econ does). -
For each research question, develop:
- Hypothesis: A testable prediction with expected sign/magnitude
- Identification strategy: How to establish causality (DiD, IV, RDD, synthetic control, etc.)
- Data requirements: What data would be needed? Is it available?
- Key assumptions: What must hold for the strategy to be valid?
- Potential pitfalls: Common threats to identification
- Related literature: 2-3 papers using similar approaches
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 · 137 lines · 89 tokens per session scan A aaedd5b3ef3a
research-ideation is a skill published in the GitHub repository pedrohcgs/claude-code-my-workflow (1,567 stars, last pushed 15d ago), licensed MIT. It adds 89 tokens to every session and 1,573 once invoked, about $0.0004 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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