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 agentmods add instructions/enablement-engineering/gobbler/claude-mdgit clone --depth 1 https://github.com/Enablement-Engineering/gobblerWrote 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/instructions/enablement-engineering/gobbler/claude-md)<a href="https://agentmods.dev/instructions/enablement-engineering/gobbler/claude-md"><img src="https://agentmods.dev/badge/instructions/enablement-engineering/gobbler/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00904 | $0.00904 |
| Opus 5 | $0.00452 | $0.00452 |
| Sonnet 5 | $0.00181 | $0.00181 |
| Haiku 4.5 | $0.00090 | $0.00090 |
Grade A, and why
gobbler CLAUDE.md 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to AI coding agents that read CLAUDE.md when working with code in this repository.
Project Overview
Gobbler is a universal content conversion tool that transforms YouTube videos, web pages, documents, and audio files into clean markdown with YAML frontmatter. It provides a CLI-first experience plus AI agent Skills that call the CLI.
Common Commands
# Install dependencies
uv sync
# Start Docker services (Crawl4AI, Docling)
make start-docker
# Run tests
make test # Unit tests
make test-unit # Unit tests only
make test-integration # Integration tests
make test-all # Unit + integration + end-to-end tests
uv run pytest tests/unit/test_youtube_converter.py -v # Single test file
uv run pytest tests/unit/test_youtube_converter.py::test_function -v # Single test
# Code quality
uv run ruff check src/ --fix # Lint + auto-fix
uv run ruff format src/ # Format code
uv run mypy src/ # Type check
uv run bandit -c pyproject.toml -r src/ # Security scan
uv run pre-commit run --all-files # All checks at once
# Check CLI
uv run gobbler --version
uv run gobbler status --json
Architecture
Source Layout (src/)
-
gobbler_core/ - Shared converters, config, providers, and utilities used by the CLI
converters/- YouTube, audio, document, webpage conversion logicproviders/- Backend service clientsutils/- Shared utilities
-
gobbler_cli/ - Typer-based CLI interface
commands/- Command implementations (batch, browser, convert, notebooklm, etc.)main.py- CLI entry point
-
gobbler_relay/ - WebSocket bridge to browser extension (port 4625)
relay.py- WebSocket server for bidirectional browser communicationclient.py- Client for sending commands to extension
-
gobbler_queue/ - SQLite-backed background job queue
worker.py- Polling worker that executes structured command argumentsmanager.py- Job management and progress trackingmodels.py- Job data models
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.
- 3d ago First seen · 106 lines · 904 tokens per session scan A 4811e061a947
gobbler CLAUDE.md is an instructions file published in the GitHub repository Enablement-Engineering/gobbler (4 stars, last pushed 10d ago), licensed MIT. It adds 904 tokens to every session, about $0.0045 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 2026-08-31.
Other instructions, from other repositories
docsift CLAUDE.md
Instructions for anishmoncivarghese/docsift, covering docsift, key documents (read before making product decisions), commands, architecture (src layout, package docsift) and hard rules.
sinain-hud CLAUDE.md
Claude Code instructions for anthillnet/sinain-hud, covering claude.md, project overview, architecture, build & run commands and sinain-core (from sinain-core/).
sinain-hud AGENTS.md
AGENTS.md instructions for anthillnet/sinain-hud, covering agents.md, project overview, architecture, build & run commands and sinain-core (from sinain-core/).
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.