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 skills add mickeyyaya/refactoring-skills --skill file-upload-media-patternsgit clone --depth 1 https://github.com/mickeyyaya/refactoring-skillsWrote 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/skills/mickeyyaya/refactoring-skills/file-upload-media-patterns)<a href="https://agentmods.dev/skills/mickeyyaya/refactoring-skills/file-upload-media-patterns"><img src="https://agentmods.dev/badge/skills/mickeyyaya/refactoring-skills/file-upload-media-patterns/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/skills/mickeyyaya/refactoring-skills/file-upload-media-patterns"><img src="https://agentmods.dev/badge/skills/mickeyyaya/refactoring-skills/file-upload-media-patterns.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 | $0.00103 | $0.05483 |
| Opus 5 | $0.00051 | $0.02742 |
| Sonnet 5 | $0.00021 | $0.01097 |
| Haiku 4.5 | $0.00010 | $0.00548 |
Grade A, and why
file-upload-media-patterns 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 12d 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 — 494 lines — stays where its author put it; the contents beside it link to each section on GitHub.
File Upload and Media Processing Patterns
Overview
File upload systems fail silently when storage is bypassed through the API server, when uploads lack size limits, when MIME types are trusted from the client, or when media processing blocks the request thread.
When to use: Designing direct-to-storage upload flows; reviewing upload endpoints for security gaps; evaluating media processing pipelines; assessing image optimization strategies; auditing storage abstraction layers.
Quick Reference
| Pattern | Core Idea | Primary Red Flag |
|---|---|---|
| Presigned URL / Direct-to-Storage | Client uploads directly to S3/GCS/Azure via short-lived URL; API never handles bytes | Streaming large files through the API server; no expiry on upload URLs |
| Resumable Uploads (tus / S3 Multipart) | Large uploads broken into chunks; interrupted uploads resume from last chunk | Single-shot uploads of large files with no resume capability |
| Upload Security Pipeline | Validate MIME magic bytes, virus scan in quarantine bucket before promoting | Trusting Content-Type header; skipping ClamAV scan; no quarantine stage |
| Async Media Processing | Thumbnails/transcoding enqueued as jobs; webhook fires on completion | Blocking the HTTP response while FFmpeg runs; sync thumbnail generation |
| Image Optimization | Convert to WebP/AVIF at ingest; generate responsive srcset; CDN transforms | Serving raw JPEG/PNG; no responsive variants; no CDN transform layer |
| Storage Abstraction | Provider-agnostic interface wraps S3/GCS/Azure/local; swap without code change | Hardcoded s3.PutObject calls scattered through business logic |
| Content-Addressable Storage | SHA-256 hash is the key; identical files stored once; dedup is automatic | UUID-named files; duplicate content stored multiple times |
| Upload Anti-Patterns | base64 in JSON, no size limits, sync processing, storing blobs in DB | Any of these present in production upload code |
Patterns in Detail
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.
- 12d ago First seen · 494 lines · 103 tokens per session scan A a4609cf2c4e9
file-upload-media-patterns is a skill published in the GitHub repository mickeyyaya/refactoring-skills (6 stars, last pushed 5mo ago), licensed MIT. It adds 103 tokens to every session and 5,483 once invoked, about $0.0005 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.
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