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.
npx skills add Galaxy-Dawn/claude-scholar --skill obsidian-literature-workflowgit 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/skills/galaxy-dawn/claude-scholar/obsidian-literature-workflow)<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/obsidian-literature-workflow"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/obsidian-literature-workflow/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/galaxy-dawn/claude-scholar/obsidian-literature-workflow"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/obsidian-literature-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00046 | $0.00407 |
| Opus 5.5 | $0.00018 | $0.00163 |
| Sonnet 5.5 | $0.00009 | $0.00081 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
obsidian-literature-workflow 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 1mo 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.
What it actually says
Obsidian Literature Workflow
This skill owns the project literature workflow.
Main flow
Sources/Papers/ -> Knowledge/ -> Writing/ -> Maps/literature.canvas
Default outputs
Sources/Papers/{paper-slug}.mdKnowledge/Literature Overview.mdKnowledge/Method Taxonomy.mdKnowledge/Research Gaps.mdKnowledge/Claim Map.mdWriting/related-work-draft.mdonly after promoted claims pass the evidence gateWriting/comparison-matrix.mdonly after promoted claims pass the evidence gateMaps/literature.canvas
Rules
- paper notes stay under
Sources/Papers/ - literature synthesis does not live inside source notes
- every synthesis note must link its supporting source notes
- every research gap must carry evidence
- every promoted claim must carry an Evidence Record ID, source type, claim strength, allowed wording, and forbidden stronger wording when it may flow into writing or rebuttal
- weak paper notes, abstract-only pages, and webpage placeholders may update coverage or
To-Read, but they cannot supportKnowledgeorWritingconclusions - default graph output is
Maps/literature.canvas - do not generate extra canvases unless explicitly requested
Read next
references/PAPER-NOTE-SCHEMA.mdreferences/LITERATURE-OVERVIEW.mdreferences/CLAIM-EXTRACTION.mdreferences/METHOD-TAXONOMY.mdreferences/RESEARCH-GAPS.mdreferences/LITERATURE-CANVAS.md
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/CANVAS-WORKFLOW.md 1.7 KB
- references/CLAIM-EXTRACTION.md 2.0 KB
- references/GRAPH-WORKFLOW.md 768 B
- references/LITERATURE-CANVAS.md 145 B
- references/LITERATURE-OVERVIEW.md 132 B
- references/METHOD-TAXONOMY.md 137 B
- references/PAPER-NOTE-SCHEMA.md 163 B
- references/RESEARCH-GAPS.md 106 B
- scripts/build_literature_canvas.py 23 KB runs code
- scripts/build_literature_graph.py 9.4 KB runs code
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.
- 1mo ago First seen · 47 lines · 46 tokens per session scan A 63f63a1a1465
obsidian-literature-workflow is a skill published in the GitHub repository Galaxy-Dawn/claude-scholar (5,917 stars, last pushed 9d ago), licensed MIT. It adds 46 tokens to every session and 407 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
kami-deck
A lab-meeting deck on gut-microbiome links to sleep quality — the design, the results, the caveats, and the next experiment. Built as a decision-grade academic research deck for lab group, PI.
design-experiment
Translate a falsifiable hypothesis into a statistically defensible experiment. Factorial, ablation, comparison, scaling, and robustness designs are modes, not strategy nodes.
bias-detection
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
asplos-experiments
Use when designing or auditing the evaluation of an ASPLOS paper — choosing among real silicon, FPGA prototypes, and simulators with cycle-accuracy caveats stated, selecting workload suites and baselines that hold up across three communities, attributing wins via ablation, and reporting energy, area, and overhead…
aeja-robustness
Use when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript's headline estimate must be shown to survive specification, sample, and inference choices before submission or in an R&R. Builds the robustness suite a sophisticated referee expects; it does not establish the primary identification…
aeja-tables-figures
Use when building or revising the exhibits of an American Economic Journal: Applied Economics (AEJ: Applied) manuscript so the main causal result is legible in one table or figure and respects AEA house presentation norms. Formats exhibits; it does not establish the result (aeja-identification / aeja-robustness) or…