awesome-cursor-rules-mdc is a generator that creates Cursor MDC rule files from structured library information, using semantic search and language models to gather and organize guidance. Developers use it to produce reusable rules for libraries in Cursor, and the catalogue includes 200 of those rules.
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/sanjeed5/awesome-cursor-rules-mdcWrote 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/rules/sanjeed5/awesome-cursor-rules-mdc/ffmpeg)<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/ffmpeg"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/ffmpeg.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 5.1 | $0.02263 | $0.02263 |
| Opus 5 | $0.01131 | $0.01131 |
| Sonnet 5 | $0.00453 | $0.00453 |
| Haiku 4.5 | $0.00226 | $0.00226 |
Grade A, and why
ffmpeg scanned grade A with 1 finding 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 4d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run(cmd, shell=True, check=True) How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FFmpeg Best Practices
FFmpeg is the bedrock of our multimedia processing. Adhering to these guidelines ensures our implementations are secure, performant, and maintainable.
1. API-First for Application Integration
Always interact with FFmpeg via its libav* APIs (e.g., libavcodec, libavformat, libavfilter) for application-level logic. The ffmpeg command-line tool is for quick tests, scripting, or debugging, never for direct invocation within production application code.
❌ BAD: Shelling out to ffmpeg CLI from application code
import subprocess
# Insecure, slow, hard to manage errors, resource leaks
def transcode_video_bad(input_path, output_path):
cmd = f"ffmpeg -i {input_path} -c:v libx264 -crf 23 {output_path}"
subprocess.run(cmd, shell=True, check=True)
✅ GOOD: Using libav* APIs (conceptual C/C++)
#include <libavformat/avformat.h>
#include <libavcodec/avcodec.h>
// ... other libav* headers
// Proper API usage for transcoding (simplified for brevity)
int transcode_video_good(const char* input_path, const char* output_path) {
AVFormatContext *input_ctx = NULL, *output_ctx = NULL;
AVCodecContext *decoder_ctx = NULL, *encoder_ctx = NULL;
// ... Initialize FFmpeg libraries
// ... Open input file (avformat_open_input)
// ... Find stream info (avformat_find_stream_info)
// ... Find best video/audio stream (av_find_best_stream)
// ... Allocate and open decoder context (avcodec_alloc_context3, avcodec_open2)
// ... Allocate and open encoder context (avcodec_alloc_context3, avcodec_open2)
// ... Open output file (avio_open, avformat_write_header)
// ... Main loop: read packet, decode, filter, encode, write packet
// ... Write trailer, cleanup (avformat_close_input, avio_closep, etc.)
return 0; // Or error code
}
Rationale: Direct API calls offer fine-grained control, robust error handling, better resource management, and eliminate shell injection vulnerabilities.
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.
- 4d ago First seen · 186 lines · 2,263 tokens per session scan A 90ca1df96c72
ffmpeg is a cursor rule published in the GitHub repository sanjeed5/awesome-cursor-rules-mdc (3,571 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 2,263 tokens to every session, about $0.0113 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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