Agent skill

Browsing History

by glebis in glebis/claude-skills

Query browsing history from all synced devices (iPhone, Mac, iPad, desktop).

MITAuto-check passedKnowledge Management

Install Browsing History

skills CLI
$ npx skills add glebis/claude-skills --skill browsing-history -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install glebis/claude-skills browsing-history --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/browsing-history .claude/skills/browsing-history && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
browsing-history
GitHub stars
391
Token cost
~1.4k tokens
SKILL.md length
307 words
Files
6 (incl. scripts)
Skills in repo
92
Repo updated
First seen
Licence
MIT

At a glance

Query browsing history from all synced devices (iPhone, Mac, iPad, desktop).

  • Knowledge Management work in your project
  • SKILL.md covers When to Use, Database, Usage and Natural Language Patterns, plus 3 more sections
  • Runs Python scripts from its folder; calls python3; reaches another.com and news.com

What it does

Browsing History is an agent skill from glebis/claude-skills. Query browsing history from all synced devices (iPhone, Mac, iPad, desktop). Supports natural language queries for filtering by date, device, domain, and keywords. Uses LLM classification for content categories. Can output to stdout or save as markdown/JSON to Obsidian vault.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `.claude-plugin/plugin.json`, `README.md` and `browsing_query.py`).

It sits in Knowledge Management. It works with Obsidian. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.

When your agent uses it

  • Knowledge Management work in your project

Example prompts

  • “/browsing-history”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 3b88261. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • another.com
    • news.com
    • dev.to
    • arxiv.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Browsing History loads about 1.4k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 307 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from glebis/claude-skills at commit 3b88261, republished under its MIT licence (© glebis). 307 words, ~1,422 tokens.

Download SKILL.mdSave it as .claude/skills/browsing-history/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
browsing-history
description
Query browsing history from all synced devices (iPhone, Mac, iPad, desktop). Supports natural language queries for filtering by date, device, domain, and keywords. Uses LLM classification for content categories. Can output to stdout or save as markdown/JSON to Obsidian vault.

Browsing History Skill

Query browsing history from all synced devices with natural language.

When to Use

Use this skill when the user asks about:

  • Articles/pages they read (yesterday, last week, etc.)
  • Browsing history from specific devices (iPhone, iPad, desktop)
  • Finding pages by topic, domain, or keyword
  • Exporting browsing history to files
  • Grouping history by category or domain

Database

Location: ~/data/browsing.db

Synced devices: iPhone, iPad, Mac, desktop, Android

Timestamps
  • visit_time: Actual visit timestamp from Chrome (100% coverage for all devices)
  • first_seen: Import timestamp (fallback when visit_time unavailable)

The skill uses COALESCE(visit_time, first_seen) for accurate time-based queries.

Usage

bash
python3 ~/.claude/skills/browsing-history/browsing_query.py "<query>" [options]
Options
OptionDescriptionExample
--deviceFilter by device--device iPhone
--daysNumber of days back--days 7
--domainFilter by domain--domain medium.com
--limitMax results--limit 50
--formatOutput format--format json
--outputSave to file--output history.md
--group-byGroup results--group-by domain or --group-by category
--categorizeUse LLM to categorize--categorize
Example Queries

Basic queries:

bash
# Yesterday's browsing history
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday"

# Articles from iPhone yesterday
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" --device iPhone

# Last week's history grouped by domain
python3 ~/.claude/skills/browsing-history/browsing_query.py "last week" --group-by domain

# Find articles about economics
python3 ~/.claude/skills/browsing-history/browsing_query.py "economics" --days 7

Save to Obsidian:

bash
# Save yesterday's history as markdown
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" \
  --output ~/Research/vault/browsing-2025-11-27.md

# Save with LLM categorization
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" \
  --categorize --group-by category \
  --output ~/Research/vault/browsing-categorized.md

# Save as JSON
python3 ~/.claude/skills/browsing-history/browsing_query.py "last week" \
  --format json --output ~/Research/vault/history.json

Device-specific:

bash
# iPhone tabs
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" --device iPhone

# Desktop history
python3 ~/.claude/skills/browsing-history/browsing_query.py "today" --device desktop

# All mobile devices
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" --device mobile

Search and filter:

bash
# Sites starting with "joy"
python3 ~/.claude/skills/browsing-history/browsing_query.py "joy" --days 7

# Medium.com articles
python3 ~/.claude/skills/browsing-history/browsing_query.py "last month" --domain medium.com

Natural Language Patterns

The script recognizes:

PatternInterpretation
yesterdayPrevious day
todayCurrent day
last weekPast 7 days
last monthPast 30 days
last N daysPast N days

Keywords are searched in URL and title.

Output Formats

Markdown (default)
markdown
# Browsing History: yesterday

*47 unique URLs from 2025-11-27*

## 2025-11-27

- [Article Title](https://example.com/article) - iPhone - 14:32
- [Another Page](https://another.com/page) - desktop - 16:45
Markdown with categories (--categorize --group-by category)
markdown
# Browsing History: yesterday

## News & Current Events
- [Breaking: Something Happened](https://news.com/...) - iPhone

## Technology & Programming
- [How to Build APIs](https://dev.to/...) - desktop

## Research & Learning
- [Academic Paper on AI](https://arxiv.org/...) - Mac
JSON (--format json)
json
{
  "query": "yesterday",
  "date_range": "2025-11-27",
  "total": 47,
  "results": [
    {"url": "...", "title": "...", "device": "iPhone", "time": "14:32", "category": "News"}
  ]
}

Workflow Examples

User: "Show me articles I read yesterday on my phone"

bash
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" --device iPhone

User: "Save my browsing history from last week to Obsidian, grouped by category"

bash
python3 ~/.claude/skills/browsing-history/browsing_query.py "last week" \
  --categorize --group-by category \
  --output ~/Research/vault/browsing-week.md

User: "Help me find that article about economics I read on my computer"

bash
python3 ~/.claude/skills/browsing-history/browsing_query.py "economics" \
  --device desktop --days 7

User: "Sites that start with 'joy' from last week"

bash
python3 ~/.claude/skills/browsing-history/browsing_query.py "joy" --days 7

Notes

  • URLs are deduplicated per day (same URL on same day = one entry)
  • visit_time: Actual visit timestamps from Chrome history
    • Desktop: 100% coverage (from Chrome SQLite last_visit_time)
    • Mobile: 100% coverage (extracted from Chrome Sync LevelDB)
  • first_seen: Fallback import timestamp (~15min resolution)
  • LLM categorization uses Claude 3.5 Haiku via llm CLI

© glebis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts) in browsing-history of glebis/claude-skills.

  • SKILL.md
  • .claude-plugin/plugin.json
  • README.md
  • browsing_query.py
  • scripts/init_db.py
  • scripts/sync_chrome_history.py

Open the folder on GitHubat commit 3b88261

Compare with similar skills

Browsing History next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Browsing History compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Browsing History this skillglebis/claude-skills391—~1.4kAutomated safety check: PassMIT
Wiki Ingestthoreinstein/gemini-obsidian102—~1.2kAutomated safety check: PassISC
Synciurykrieger/claude-bedrock1051 repos~11kAutomated safety check: WarnMIT
Obsidian Knowledge BuilderMichael-OvO/obsidian-knowledge-agent205—~917Automated safety check: PassMIT
Confluence To Markdowniurykrieger/claude-bedrock1051 repos~2.8kAutomated safety check: NotesMIT
Wiki NarrateAr9av/obsidian-wiki3.5k—~1.7kAutomated safety check: PassMIT

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Works with

Questions about Browsing History

What does Browsing History do?

Query browsing history from all synced devices (iPhone, Mac, iPad, desktop). Browsing History is an agent skill from glebis/claude-skills. Query browsing history from all synced devices (iPhone, Mac, iPad, desktop).

When should I use Browsing History?

Browsing History fits situations like: knowledge Management work in your project.

How do I install Browsing History in Claude Code?

Run `npx skills add glebis/claude-skills --skill browsing-history -a claude-code`. Or copy the skill folder (browsing-history in glebis/claude-skills) into .claude/skills/browsing-history in your project. Claude Code loads it when a task matches its description.

How do I install Browsing History in Codex?

Run `npx skills add glebis/claude-skills --skill browsing-history -a codex`. Or copy the skill folder (browsing-history in glebis/claude-skills) into .agents/skills/browsing-history in your project. Codex loads it when a task matches its description.

Can I use Browsing History in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add glebis/claude-skills --skill browsing-history -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/browsing-history, .gemini/skills/browsing-history, .github/skills/browsing-history and .opencode/skills/browsing-history in your project.

What does Browsing History need to run?

Going by SKILL.md and its folder, Browsing History needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Browsing History access the network?

SKILL.md names 4 domains. In commands or code: another.com, news.com, dev.to and arxiv.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Browsing History safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Browsing History use?

Browsing History is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Browsing History use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Browsing History?

Skills that share tags, products or a category with Browsing History: Wiki Ingest (thoreinstein/gemini-obsidian, 102 stars), Sync (iurykrieger/claude-bedrock, 105 stars), Obsidian Knowledge Builder (Michael-OvO/obsidian-knowledge-agent, 205 stars) and Confluence To Markdown (iurykrieger/claude-bedrock, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Browsing History?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 391 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on October 8, 2026.

Source: glebis/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.