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 agent-identifiergit 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/agent-identifier)<a href="https://agentmods.dev/skills/galaxy-dawn/claude-scholar/agent-identifier"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/agent-identifier/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/agent-identifier"><img src="https://agentmods.dev/badge/skills/galaxy-dawn/claude-scholar/agent-identifier.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 | $0.00017 | $0.02529 |
| Opus 5.5 | $0.00007 | $0.01012 |
| Sonnet 5.5 | $0.00003 | $0.00506 |
| Haiku 4.5 | $0.00002 | $0.00253 |
Grade A, and why
agent-identifier 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 2mo 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
8 near-identical copies found in the catalogue:
- agent-development-micsapp-micstec-skills — 91% identical, 437 lines differ
- agent-development-haxllo-repolens — 91% identical, 437 lines differ
- agent-development-bagherhosseini-claude-code-skills — 91% identical, 437 lines differ
- agent-development-kurohit2-mlproject-6b0fb932 — 91% identical, 437 lines differ
- agent-development-aws-educate-template-nextjs-sani — 91% identical, 437 lines differ
- agent-development-angelo0218-blocktic-backend-2 — 91% identical, 437 lines differ
- agent-development-kurohit2-mlproject — 91% identical, 437 lines differ
- agent-development-the-human-company-ai-receptionist — 91% identical, 437 lines differ
How it starts
The opening of the file, as written. The whole thing — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Development for Claude Code Plugins
Overview
Agents are autonomous subprocesses that handle complex, multi-step tasks independently. Understanding agent structure, triggering conditions, and system prompt design enables creating powerful autonomous capabilities.
Key concepts:
- Agents are FOR autonomous work, commands are FOR user-initiated actions
- Markdown file format with YAML frontmatter
- Triggering via description field with examples
- System prompt defines agent behavior
- Model and color customization
When to Use
Use this skill when the user asks to:
- Create an agent
- Add an agent
- Write a subagent
- Define agent frontmatter
- Decide when to use description examples
- Configure agent tools, colors, or model behavior
- Design autonomous agent structure, triggering conditions, or system prompts
When Not to Use
Do not use this skill for:
- Slash command design
- Hook configuration
- MCP server setup
- General plugin layout questions that belong to
plugin-structure
Agent File Structure
Complete Format
---
name: agent-identifier
description: Use this agent when [triggering conditions]. Examples:
<example>
Context: [Situation description]
user: "[User request]"
assistant: "[How assistant should respond and use this agent]"
<commentary>
[Why this agent should be triggered]
</commentary>
</example>
<example>
[Additional example...]
</example>
model: inherit
color: blue
tools: ["Read", "Write", "Grep"]
---
You are [agent role description]...
**Your Core Responsibilities:**
1. [Responsibility 1]
2. [Responsibility 2]
**Analysis Process:**
[Step-by-step workflow]
**Output Format:**
[What to return]
Frontmatter Fields
name (required)
Agent identifier used for namespacing and invocation.
Format: lowercase, numbers, hyphens only Length: 3-50 characters Pattern: Must start and end with alphanumeric
Good examples:
code-reviewertest-generatorapi-docs-writersecurity-analyzer
What ships with it
6 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.
- 2mo ago First seen · 435 lines · 17 tokens per session scan A 0668fdfe2dd2
agent-identifier is a skill published in the GitHub repository Galaxy-Dawn/claude-scholar (6,018 stars, last pushed 21d ago), licensed MIT. It adds 17 tokens to every session and 2,529 once invoked, about $0.0001 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 2026-08-30.
agent-identifier compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-identifierGalaxy-Dawn/claude-scholar | Skill | 6.0k | 21d ago | MIT | A | 17 | Claude Code |
| kami-decknexu-io/open-design | Skill | 107k | today | Apache-2.0 | A | 49 | Claude Code, Codex |
| pre-meeting-briefchrisblattman/claudeblattman | Skill | 480 | today | MIT | A | 23 | Claude Code |
| schedule-querychrisblattman/claudeblattman | Skill | 480 | today | MIT | A | 17 | Claude Code |
| announcement-digestchrisblattman/claudeblattman | Skill | 480 | today | MIT | A | 26 | Claude Code, Codex |
| dr-synthesizechrisblattman/claudeblattman | Skill | 480 | today | MIT | A | 22 | Claude Code, Codex |
| todo-addchrisblattman/claudeblattman | Skill | 480 | today | MIT | A | 18 | Claude Code, Codex |