Claude Code Skills Marketplace is a collection and marketplace of skills, plugins, agents, and instructions that extend Claude Code with specialized development workflows. It is for developers who want to install existing workflows or create, validate, and package their own Claude Code skills.
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 daymade/claude-code-skills --skill gemini-history-analyzergit clone --depth 1 https://github.com/daymade/claude-code-skillsWrote 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/daymade/claude-code-skills/gemini-history-analyzer)<a href="https://agentmods.dev/skills/daymade/claude-code-skills/gemini-history-analyzer"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/gemini-history-analyzer/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/daymade/claude-code-skills/gemini-history-analyzer"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/gemini-history-analyzer.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 | $0.00085 | $0.02170 |
| Opus 5.5 | $0.00034 | $0.00868 |
| Sonnet 5.5 | $0.00017 | $0.00434 |
| Haiku 4.5 | $0.00009 | $0.00217 |
Grade C, and why
gemini-history-analyzer scanned grade C with 1 finding 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf <extract-dir> How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini History Analyzer
Extract, categorize, and analyze Google Takeout ZIP exports of Gemini Apps activity. The skill handles:
- Extraction (with Chinese/Unicode filename support)
- Content categorization and topic analysis
- User profile extraction from conversation patterns
- Domain-specific keyword search with context verification
- PII/sensitive content detection
- Structured report generation with optional memory file creation
Quick Judgment: Meeting Transcripts vs Prompt-Response
Before full analysis, sample 3-5 files to determine the conversation type:
| Signal | Meeting Transcript | Prompt-Response |
|---|---|---|
| Speaker labels | "张三:"、"李四:"、"Speaker 1:" | "User:"、"Assistant:"、"You:" |
| Content pattern | Discussion flow, turn-taking, small talk | Q&A, instruction→output |
| Length distribution | Variable, lots of short turns | Longer assistant responses |
| File naming | Often Chinese, meeting-style titles | English, topic-based titles |
The analysis approach differs:
- Meeting transcripts → topic categorization, speaker analysis, decision tracking, user profile extraction
- Prompt-response → usage pattern analysis, capability assessment, interest domain mapping
Step 1: Extract the ZIP
Google Takeout files contain Chinese/Unicode filenames. macOS unzip corrupts these — always use unar.
# Install unar if missing
brew install unar 2>/dev/null || true
# Extract to a target directory
unar -o <output-dir> -q "<takeout-zip-path>"
The standard structure:
Takeout/
└── My Activity/
└── Gemini Apps/
├── *.txt # Conversation transcripts
├── *.html # Web-format backups (rare)
├── *.png/jpg # Images from conversations
├── *.mp3/mp4/wav # Audio/video attachments
├── *.pdf # Uploaded/shared documents
├── *.xlsx/docx # Office documents
└── *.zip # Nested archives (animation frames, etc.)
What ships with it
1 file 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.
- 1mo ago First seen · 225 lines · 85 tokens per session scan C 4acbd387213f
gemini-history-analyzer is a skill published in the GitHub repository daymade/claude-code-skills (1,473 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 2,170 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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