Borrowing it
Nothing to install: this file belongs to dkyazzentwatwa/threads-mcp-crawler. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dkyazzentwatwa/threads-mcp-crawler/main/CLAUDE.mdgit clone --depth 1 https://github.com/dkyazzentwatwa/threads-mcp-crawlerWrote 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/dkyazzentwatwa/threads-mcp-crawler/claude-md)<a href="https://agentmods.dev/instructions/dkyazzentwatwa/threads-mcp-crawler/claude-md"><img src="https://agentmods.dev/badge/instructions/dkyazzentwatwa/threads-mcp-crawler/claude-md/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/instructions/dkyazzentwatwa/threads-mcp-crawler/claude-md"><img src="https://agentmods.dev/badge/instructions/dkyazzentwatwa/threads-mcp-crawler/claude-md.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 | $0.04049 | $0.04049 |
| Opus 5.5 | $0.01620 | $0.01620 |
| Sonnet 5.5 | $0.00810 | $0.00810 |
| Haiku 4.5 | $0.00405 | $0.00405 |
Grade A, and why
threads-mcp-crawler 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 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 — 568 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Threads Scraper MCP - Developer Guide
Internal documentation for developers working on threads_scraper_mcp.
Architecture Overview
Design Philosophy
- Robustness over cleverness: Dual parsing (JSON + HTML) ensures resilience
- Centralized selectors: All CSS selectors in one
ThreadsSelectorsclass - Graceful degradation: Return partial data rather than failing completely
- Ethical scraping: Built-in throttling and caching, no circumvention attempts
- Proven patterns: Architecture mirrors successful
substack_mcpimplementation
Tech Stack
- Python 3.9+: Modern type hints (
|union,Optional, generics) - Pydantic v2: Type-safe data validation
- Playwright: Headless Chrome browser automation (bypasses login wall)
- BeautifulSoup + lxml: HTML parsing (fallback)
- VADER: Sentiment analysis for social media
- MCP SDK: Model Context Protocol for AI integration
- cachetools: Thread-safe TTL caching
Module Responsibilities
settings.py
- Environment-based configuration via
@dataclass RuntimeSettings.from_env()factory pattern- Global
SETTINGSinstance - Env vars:
THREADS_THROTTLE,THREADS_CACHE_TTL,THREADS_SESSION_COOKIE, etc.
cache.py
- Copied verbatim from substack_mcp (proven implementation)
- Thread-safe
TTLCachewithRLock @cacheddecorator for function memoizationclear_cache(prefix)for selective invalidation- 256-item limit, 10-minute TTL default
models.py
- Pydantic v2 models for type safety
- Core models:
Profile,Thread,Reply,EngagementMetrics - Analytics models:
SentimentBreakdown,KeywordScore,ProfileAnalytics - All fields use
Optionalfor graceful degradation raw: Dict[str, Any]field preserves original data for debugging
parsers.py
- CRITICAL FILE: Most likely to need updates when Threads changes HTML
ThreadsSelectorsclass: Centralized CSS selectors- Dual parsing system:
- Primary: JSON from
__NEXT_DATA__script tag - Fallback: HTML selectors
- Primary: JSON from
- Helper functions:
_extract_next_data(),_parse_datetime(),_parse_engagement_from_json(), etc. - Main parsers:
parse_profile(),parse_thread(),parse_profile_threads(),parse_replies(),parse_search_results()
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 · 568 lines · 4,049 tokens per session scan A 81d8f77cbe0b
threads-mcp-crawler CLAUDE.md is an instructions file published in the GitHub repository dkyazzentwatwa/threads-mcp-crawler (10 stars, last pushed 9mo ago), licensed MIT. It adds 4,049 tokens to every session, about $0.0162 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 2026-08-31.
threads-mcp-crawler CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| threads-mcp-crawler CLAUDE.mddkyazzentwatwa/threads-mcp-crawler | Instructions file | 10 | 9mo ago | MIT | A | 4,049 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |