Claude Scholar is a semi-automated research assistant for academic research and software development, supporting literature review, coding, experiments, reporting, writing, and project knowledge management. Computer science and AI researchers use it across the research workflow with several coding-agent platforms; the catalogue contains its skills, commands, agents, hooks, plugin, and instruction.
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/Galaxy-Dawn/claude-scholarWrote 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/commands/galaxy-dawn/claude-scholar/refactor-clean)<a href="https://agentmods.dev/commands/galaxy-dawn/claude-scholar/refactor-clean"><img src="https://agentmods.dev/badge/commands/galaxy-dawn/claude-scholar/refactor-clean.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00203 |
| Opus 5 | $0.00000 | $0.00102 |
| Sonnet 5 | $0.00000 | $0.00041 |
| Haiku 4.5 | $0.00000 | $0.00020 |
Grade A, and why
refactor-clean 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- refactor-clean — 86% identical, 31 lines differ
- refactor-clean — 86% identical, 15 lines differ
- refactor-clean — 86% identical, 15 lines differ
What it actually says
Refactor Clean
Safely identify and remove dead code with test verification:
-
Run dead code analysis tools:
- vulture: Find unused Python code (functions, classes, variables)
- pyflakes: Detect unused imports and variables
- ruff check --select F401: Find unused imports
- pip-audit: Check for security vulnerabilities
-
Generate comprehensive report in .reports/dead-code-analysis.md
-
Categorize findings by severity:
- SAFE: Test files, unused utilities, unused imports
- CAUTION: API routes, models, fixtures
- DANGER: Config files, main entry points, registry decorators
-
Propose safe deletions only
-
Before each deletion:
- Run full test suite (pytest)
- Verify tests pass
- Apply change
- Re-run tests
- Rollback if tests fail
-
Show summary of cleaned items
Never delete code without running tests first!
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 · 30 lines · 0 tokens per session scan A 86eaf761218f
refactor-clean is a command published in the GitHub repository Galaxy-Dawn/claude-scholar (5,349 stars, last pushed 11d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 203 tokens. 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 commands, from other repositories
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verify-loop
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ui-aqa-flow-test-report-analysis
Phase 7 Test Report Analysis of ui-aqa-flow.
api-aqa-flow-execution-and-report-analysis
Phase 6 Execution & Report Analysis of api-aqa-flow (USER INTERACTION REQUIRED).
CLAUDE
When debugging TUI commands like wt switch (interactive picker), use the tmux-cli skill (preferred) or MCP's node-terminal tools to test interactively.
fire-verify-uat
Conversational User Acceptance Testing with automatic parallel diagnosis on failures.