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 planning-with-filesgit 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/planning-with-files)<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/planning-with-files"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/planning-with-files/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/planning-with-files"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/planning-with-files.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Memory Poisoning · line 63 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
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 | $0.00061 | $0.01020 |
| Opus 5 | $0.00030 | $0.00510 |
| Sonnet 5 | $0.00012 | $0.00204 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade A, and why
planning-with-files 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
1 near-identical copy found in the catalogue:
- planning-with-files — 92% identical, 15 lines differ
How it starts
The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning with Files
Work like Manus: use persistent markdown files as your working memory on disk.
This is not just an optional planning style. It should be the default persistence layer for complex Codex work.
Use it proactively when:
- the task will likely take more than a few tool calls
- progress needs to be tracked across phases
- findings or evidence must be preserved while working
- the task may branch, pause, or resume later
- relying on chat context alone would be fragile
Quick Start
Before ANY complex task:
- Create
task_plan.mdin the working directory - Define phases with checkboxes
- Update after each phase - mark [x] and change status
- Read before deciding - refresh goals in attention window
The 3-File Pattern
For every non-trivial task, create THREE files:
| File | Purpose | When to Update |
|---|---|---|
task_plan.md |
Track phases and progress | After each phase |
notes.md |
Store findings and research | During research |
[deliverable].md |
Final output | At completion |
Core Workflow
Loop 1: Create task_plan.md with goal and phases
Loop 2: Research → save to notes.md → update task_plan.md
Loop 3: Read notes.md → create deliverable → update task_plan.md
Loop 4: Deliver final output
The Loop in Detail
Before each major action:
Read task_plan.md # Refresh goals in attention window
After each phase:
Edit task_plan.md # Mark [x], update status
When storing information:
Write notes.md # Don't stuff context, store in file
task_plan.md Template
Create this file FIRST for any complex task:
# Task Plan: [Brief Description]
## Goal
[One sentence describing the end state]
## Phases
- [ ] Phase 1: Plan and setup
- [ ] Phase 2: Research/gather information
- [ ] Phase 3: Execute/build
- [ ] Phase 4: Review and deliver
## Key Questions
1. [Question to answer]
2. [Question to answer]
## Decisions Made
- [Decision]: [Rationale]
## Errors Encountered
- [Error]: [Resolution]
## Status
**Currently in Phase X** - [What I'm doing now]
What ships with it
2 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.
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 · 172 lines · 61 tokens per session scan A 6b527bee3d60
planning-with-files is a skill published in the GitHub repository Galaxy-Dawn/claude-scholar (5,419 stars, last pushed 15d ago), licensed MIT. It adds 61 tokens to every session and 1,020 once invoked, about $0.0003 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 2026-09-03.
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