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.
git clone --depth 1 https://github.com/yurilopes/pydoll-mcp-serverWrote 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/commands/yurilopes/pydoll-mcp-server/fetch)<a href="https://agentmods.dev/commands/yurilopes/pydoll-mcp-server/fetch"><img src="https://agentmods.dev/badge/commands/yurilopes/pydoll-mcp-server/fetch/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/commands/yurilopes/pydoll-mcp-server/fetch"><img src="https://agentmods.dev/badge/commands/yurilopes/pydoll-mcp-server/fetch.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00851 |
| Opus 5.5 | $0.00000 | $0.00340 |
| Sonnet 5.5 | $0.00000 | $0.00170 |
| Haiku 4.5 | $0.00000 | $0.00085 |
Grade A, and why
fetch 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.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fetch Commands
Fetch commands provide advanced network request handling and interception capabilities using the Fetch API domain.
Overview
The fetch commands module enables sophisticated network request management, including request modification, response interception, and authentication handling.
::: pydoll.commands.fetch_commands options: show_root_heading: true show_source: false heading_level: 2 filters: - "!^_" - "!^__"
Usage
Fetch commands are used for advanced network interception and request handling:
from pydoll.commands.fetch_commands import enable, request_paused, continue_request
from pydoll.connection.connection_handler import ConnectionHandler
# Enable fetch domain
connection = ConnectionHandler()
await enable(connection, patterns=[{
"urlPattern": "*",
"requestStage": "Request"
}])
# Handle paused requests
async def handle_paused_request(request_id, request):
# Modify request or continue as-is
await continue_request(connection, request_id=request_id)
Key Functionality
The fetch commands module provides functions for:
Request Interception
enable()- Enable fetch domain with patternsdisable()- Disable fetch domaincontinue_request()- Continue intercepted requestsfail_request()- Fail requests with specific errors
Request Modification
- Modify request headers
- Change request URLs
- Alter request methods (GET, POST, etc.)
- Modify request bodies
Response Handling
fulfill_request()- Provide custom responsesget_response_body()- Get response content- Response header modification
- Response status code control
Authentication
continue_with_auth()- Handle authentication challenges- Basic authentication support
- Custom authentication flows
Advanced Features
Pattern-Based Interception
# Intercept specific URL patterns
patterns = [
{"urlPattern": "*/api/*", "requestStage": "Request"},
{"urlPattern": "*.js", "requestStage": "Response"},
{"urlPattern": "https://example.com/*", "requestStage": "Request"}
]
await enable(connection, patterns=patterns)
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 · 153 lines · 0 tokens per session scan A 4772fd16742b
fetch is a command published in the GitHub repository yurilopes/pydoll-mcp-server (1 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 851 tokens. 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.
fetch compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fetchyurilopes/pydoll-mcp-server | Command | 1 | 2mo ago | MIT | A | 0 | Claude Code |
| auto-browsemarcusquinn/aidevops | Command | 439 | yesterday | MIT | A | 18 | Claude Code |
| webapp-testinghamr0/agentic-toolkit | Command | 23 | 7d ago | Apache-2.0 | A | 35 | Claude Code |
| verify-prdesplega-ai/qa-use | Command | 29 | 1mo ago | MIT | A | 0 | Claude Code |
| gh-issue-use-cypressskyfox675/agents-skills | Command | 11 | yesterday | MIT | A | 49 | Claude Code |
| readinesscygaco/master-console | Command | 120 | 17d ago | AGPL-3.0 | A | 51 | Claude Code |
| can-i-useivklgn/ai-kit | Command | 12 | 1mo ago | MIT | A | 13 | Claude Code |