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 agentmods add skills/bytesagain/ai-skills/addonnpx skills add bytesagain/ai-skills --skill addongit clone --depth 1 https://github.com/bytesagain/ai-skillsWhat 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 | $0.00039 | $0.00493 |
| Opus 5 | $0.00019 | $0.00246 |
| Sonnet 5 | $0.00008 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
addon 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 2d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 111 lines · 39 tokens per session scan A cdf72d86bd5e
addon is a skill published in the GitHub repository bytesagain/ai-skills (12 stars, last pushed 4mo ago), with no licence file. It adds 39 tokens to every session and 493 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
caching
Set HTTP cache headers on tRPC query responses via responseMeta callback for CDN and browser caching. Configure Cache-Control, s-maxage, stale-while-revalidate. Handle caching with batching and authenticated requests. Avoid caching mutations, errors, and authenticated responses.
d3k
Use when the user asks to use d3k, run/dev/test/debug a web project with d3k, or reproduce a browser issue. Own the runtime: reuse or background-start d3k non-interactively, wait for readiness, use its project-stable managed Chrome profile, and inspect unified browser/server evidence.
horse-websocket
Guidelines and workflows for developing and maintaining WebSocket endpoints and protocol upgrades within the Horse framework.
horse-streaming
Diretrizes e workflows para desenvolvimento e manutenção de transmissões de dados em tempo real (Web Streams e Server-Sent Events - SSE) no framework Horse.
surf
Control Chrome browser via CLI for testing, automation, and debugging. Use when the user needs browser automation, screenshots, form filling, page inspection, network/CPU emulation, DevTools streaming, or AI queries via ChatGPT/Gemini/Perplexity/Grok/AI Studio.
deep-x-research
Deep, exhaustive research on a topic across X (Twitter) by driving Grok (x.com/i/grok) through surf. Use when the user wants comprehensive X research on a concept, technique, trend, tool, or creator scene; needs categorized findings with every claim traceable to post URLs; or when a single Grok query is not enough.