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 magnus919/agent-skills --skill cyberpunkgit clone --depth 1 https://github.com/magnus919/agent-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/magnus919/agent-skills/cyberpunk)<a href="https://agentmods.dev/skills/magnus919/agent-skills/cyberpunk"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/cyberpunk/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/magnus919/agent-skills/cyberpunk"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/cyberpunk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00091 | $0.01541 |
| Opus 5 | $0.00046 | $0.00771 |
| Sonnet 5 | $0.00018 | $0.00308 |
| Haiku 4.5 | $0.00009 | $0.00154 |
Grade A, and why
cyberpunk 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 11d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cyberpunk
Use the Sprawl fiction as a way to reason about pressure, infrastructure, and ordinary lives inside vast systems, not as a bag of neon props. The result should feel inhabited because the systems have consequences, not because every surface has a glowing sign.
Scope and source discipline
Start by deciding which result the user needs:
| Mode | Deliver |
|---|---|
| Image direction | A composition brief or generator prompt built from material conditions, social activity, and one focal tension. |
| Original fiction or scene | A situation, stakes, sensory detail, and an original voice. Do not imitate Gibson's prose. |
| Setting or world operation | A causal explanation of how people, money, maintenance, information, and authority move through a place. |
| Analysis | Separate textual observation, supported inference, and original adaptation. |
Read canon and boundaries before answering a request that names the Sprawl, a named person, place, organization, technology, or event. Read world operations for setting design, plotting, or analysis. Read visual direction for images or art direction.
Use the primary texts as canon. Treat the 1980s publication context and criticism as context, not as a substitute for what the books actually establish.
Copyright and canon boundary
- Do not write a continuation in Gibson's voice, reproduce distinctive prose, or fabricate a scene as canon.
- For a named Sprawl request, distinguish textual observation from inference and label any new material original adaptation.
- Default to an original setting with new names, organizations, technologies, and characters when the user wants to make something publishable or reusable.
- A prompt may use high-level traits such as vertical density, repair culture, corporate geography, or mediated perception. It must not ask a model to copy a particular artist's style or recreate a recognizable copyrighted scene, character, or cover.
What ships with it
6 files 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.
- 11d ago First seen · 84 lines · 91 tokens per session scan A 9480650f506f
cyberpunk is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed today), licensed MIT. It adds 91 tokens to every session and 1,541 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 2026-08-30.
Other skills, from other repositories
shogun-screenshot
A screenshot tool for getting images from a computer or web page and then cropping, resizing, or masking sensitive information. Playwright is a browser-automation tool used here to capture web pages.
design
Professional design system - illustrations, UI mockups, social graphics, brochures, logos, infographics, and image editing. Routes to optimal pipeline (HTML Studio for layouts, Replicate AI for creative imagery, PPTX for presentations). Use when user asks to design, create visuals, generate graphics, make a mockup…
marp
Markdown-driven presentation pipeline producing PDF and HTML from MARP source with 31C branded theme. Four subcommands: new (prompt-to-deck), render (existing source), from (workspace markdown transform), watch (live preview). Internal decks, runbooks, state checks, knowledge renders. Do NOT use for editable PPTX…
image-prompt
Generate AI text-to-image prompts from written content. Use after creating any content (LinkedIn post, blog article, email, presentation copy, announcement) to produce a photorealistic image prompt for Midjourney, DALL-E, Stable Diffusion, or similar platforms. Trigger when the user asks for an image, visual…
nanobanana
Generates and edits images by calling Google's Nano Banana / Gemini image generation API (requires a GEMINIAPIKEY), a real, billed API call. This skill is explicit-invocation only: use it only when the user names it or the Gemini path directly ("nanobanana", "nano banana", "gemini image generation", "GEMINIAPIKEY"…
codex-imagegen
Generates images and polished raster art (logos, mascots, hero images, icons, characters, sprite sheets, illustrations, product mockups) by driving Codex CLI's $imagegen skill. This is the default image generator, use it for any request to generate or create an image or visual asset, including "generate an image"…