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 grant-proposalgit 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/grant-proposal)<a href="https://agentmods.dev/skills/pedrohcgs/claude-code-my-workflow/grant-proposal"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/grant-proposal.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 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 131 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 132 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 133 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 134 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 135 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 | $0.00131 | $0.02910 |
| Opus 5 | $0.00066 | $0.01455 |
| Sonnet 5 | $0.00026 | $0.00582 |
| Haiku 4.5 | $0.00013 | $0.00291 |
Grade A, and why
grant-proposal 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 8d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/grant-proposal — Research Grant Proposal Scaffolder
Compose a funder-shaped grant proposal draft from primitives you already have: an /interview-me research spec supplies the science, /data-management-plan supplies the DMP, /capture-environment supplies the facilities/computational statement, and /lit-review supplies the prior-work framing. This skill structures and stitches — it does not submit anywhere, and it does not invent identification strategy where a spec is absent.
Core principle: A proposal is a coherence artifact. Aims, methods, budget, timeline, and broader impacts must agree with each other and with the underlying research spec. The skill's main value-add over a blank template is the Phase 3 coherence pass (aims ↔ methods ↔ budget ↔ timeline).
When to use
- Drafting an NSF / NIH / ERC / foundation proposal from an existing research idea.
- Turning an
/interview-mespec (or a/preregisterPAP) into a fundable narrative. - Assembling the boilerplate-but-required pieces (DMP, facilities, data-sharing) so the human writes only the science.
- During resubmission, re-scaffolding aims after a reviewer "revise and resubmit" round.
When NOT to use
- You need the science itself invented — run
/interview-mefirst; this skill refuses to fabricate an identification strategy. - The sponsor is a clinical-trial funder requiring its own protocol template (out of scope; use the sponsor's native forms).
- You want a finished, submittable PDF — this writes Markdown sections + a checklist; final assembly into the sponsor's format is yours.
Funder profiles
Generic across sponsors via placeholder profiles. --funder selects the section set + naming; default is nsf.
| Funder | Core sections (named per sponsor) | Page/format signals |
|---|---|---|
nsf |
Project Summary (Overview/Intellectual Merit/Broader Impacts) · Project Description · Broader Impacts · Data Management & Sharing Plan · Facilities/Equipment · Budget Justification | 15-page Project Description; DMSP required |
nih |
Specific Aims (1 p.) · Research Strategy (Significance/Innovation/Approach) · Vertebrate/Human Subjects (if any) · Data Management & Sharing · Facilities & Other Resources · Budget Justification | Aims page is load-bearing |
erc |
Extended Synopsis (B1) · Scientific Proposal (B2: state-of-art, objectives, methodology) · CV + track record · Resources/Budget · Data Management | PI-centric; "high-risk/high-gain" framing |
foundation |
Project Summary · Statement of Need · Goals & Objectives · Methods/Approach · Evaluation Plan · Budget Justification · Sustainability | Mission-fit framing; lighter methods |
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.
- 8d ago First seen · 146 lines · 131 tokens per session scan A e37e24b48844
grant-proposal is a skill published in the GitHub repository pedrohcgs/claude-code-my-workflow (1,566 stars, last pushed 14d ago), licensed MIT. It adds 131 tokens to every session and 2,910 once invoked, about $0.0007 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.
Other skills, from other repositories
fin-paper-figure
Generate academic-quality figures (>=300 DPI) for economics and finance papers.
fin-paper-writing
A workflow for turning a research outline and study design into a complete economics or finance paper. It coordinates drafting, figure creation, consistency checks, review rounds, LaTeX compilation, and submission checks.
fin-viz-launch
A tool for turning research data and a written description into academic charts. It can choose a suitable chart type, create plotting code with matplotlib or seaborn, and save the result as a high-resolution PDF, SVG, or PNG.
fin-data-acquisition
A data-preparation workflow for financial research. It reads variable definitions from a completed research design and produces data-acquisition work plus executable Python or Stata regression scripts.
fin-lit-review
A systematic literature-review workflow for economics and finance. It searches several academic sources, maps how papers cite one another, and organizes the main findings and research gaps.
fin-submit-check
A pre-submission checklist for an academic paper and its LaTeX files. It checks journal requirements such as anonymous authorship, length, spacing, margins, citations, figures, data availability, and other submission details.