Borrowing it
Nothing to install: this file belongs to BjornMelin/ai-docs-vector-db-hybrid-scraper. 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/BjornMelin/ai-docs-vector-db-hybrid-scraper/main/AGENTS.mdgit clone --depth 1 https://github.com/BjornMelin/ai-docs-vector-db-hybrid-scraperWrote 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/bjornmelin/ai-docs-vector-db-hybrid-scraper/agents-md)<a href="https://agentmods.dev/instructions/bjornmelin/ai-docs-vector-db-hybrid-scraper/agents-md"><img src="https://agentmods.dev/badge/instructions/bjornmelin/ai-docs-vector-db-hybrid-scraper/agents-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/bjornmelin/ai-docs-vector-db-hybrid-scraper/agents-md"><img src="https://agentmods.dev/badge/instructions/bjornmelin/ai-docs-vector-db-hybrid-scraper/agents-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 | $0.01072 | $0.01072 |
| Opus 5.5 | $0.00429 | $0.00429 |
| Sonnet 5.5 | $0.00214 | $0.00214 |
| Haiku 4.5 | $0.00107 | $0.00107 |
Grade A, and why
ai-docs-vector-db-hybrid-scraper AGENTS.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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
Runtime code lives in src/ (FastAPI api, LangGraph services, CLI cli, MCP tooling mcp_tools). Configs and deploy assets: config/, docker-compose.yml, k8s/; automation lives in scripts/; docs in docs/; tests span unit, integration, performance,
property, data_quality, scripts suites. src/services highlights: agents (LangGraph flows), analytics (search dashboards), browser (tiered scraping), cache (Dragonfly caches), circuit_breaker (resilience), content_intelligence (classifiers/metadata), core (project storage & Qdrant aliases),
crawling (Firecrawl/Crawl4AI), embeddings (FastEmbed/OpenAI), fastapi (dependency wiring), functional (DI facades), hyde (HyDE augmentation), managers (platform managers), middleware (rate limiting), monitoring (metrics/health/telemetry), observability (tracing configs),
processing (batch pipelines), query_processing (intent models + orchestrator), rag (pipeline/generator/retriever), utilities (HNSW tuning/rate limits), vector_db (Qdrant service layer).
Build, Test, and Development Commands
Install deps via uv sync --dev. Drive daily flows with uv run python -m src.cli.unified … (dev, docs, services --action start --stack simple|enterprise). Use uv run python scripts/dev.py for profiles: test --profile quick, eval --dataset tests/data/rag/golden_set.jsonl,
benchmark --suite performance, validate --check-docs --check-services, quality --fix-lint. Targeted gates: uv run ruff format <paths>, uv run ruff check <paths>, uv run pyright <paths>, and uv run pylint <modules> (score ≥9.5). Start local services
with docker compose --profile simple up -d; make quality-unit yields a lint/type/test gate.
Coding Style & Naming Conventions
Use 4-space indentation, full type hints, and Google-style docstrings on public APIs. Keep modules lowercase_with_underscores, classes PascalCase, and functions/tests snake_case. Favor maintained components (LangGraph nodes, Prometheus helpers, FastEmbed) over bespoke utilities,
and run uv run ruff format ., uv run ruff check . --fix, uv run pylint --fail-under=9.5 src scripts, and uv run pyright before pushing.
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 · 49 lines · 1,072 tokens per session scan A 8303747cd20d
ai-docs-vector-db-hybrid-scraper AGENTS.md is an instructions file published in the GitHub repository BjornMelin/ai-docs-vector-db-hybrid-scraper (11 stars, last pushed 3mo ago), licensed MIT. It adds 1,072 tokens to every session, about $0.0043 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.
ai-docs-vector-db-hybrid-scraper AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-docs-vector-db-hybrid-scraper AGENTS.mdBjornMelin/ai-docs-vector-db-hybrid-scraper | Instructions file | 11 | 3mo ago | MIT | A | 1,072 | Codex, OpenCode |
| 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 |