Borrowing it
Nothing to install: this file belongs to PrunaAI/pruna-skills. 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/PrunaAI/pruna-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/PrunaAI/pruna-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/instructions/prunaai/pruna-skills/agents-md)<a href="https://agentmods.dev/instructions/prunaai/pruna-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/prunaai/pruna-skills/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/prunaai/pruna-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/prunaai/pruna-skills/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 | $0.01105 | $0.01105 |
| Opus 5.5 | $0.00442 | $0.00442 |
| Sonnet 5.5 | $0.00221 | $0.00221 |
| Haiku 4.5 | $0.00111 | $0.00111 |
Grade A, and why
pruna-skills AGENTS.md 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| **Workflow** | Multi-step deliverable — agent is the runner (curl + ffmpeg) | How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pruna Skills (agent notes)
Generative media skills for the Pruna AI API. Portable Agent Skills — Cursor, Claude Code, Copilot, Codex, and more.
How it works
See README.md for the user-facing glossary and quickstart.
| Type | Role |
|---|---|
| Guide | Vendor-neutral craft (image-prompting, video-prompting, audio-prompting, video-editing, generation-diversity) or Pruna HTTP (pruna-api) |
| Tool | One paid API call (p-image, p-video, …) |
| Workflow | Multi-step deliverable — agent is the runner (curl + ffmpeg) |
| Suite | pruna — install everything |
Tools list guide deps under Prerequisites with npx skills add. Workflows list tools only (guides come via tools). Optional external companions (e.g. HyperFrames for HTML → MP4 launch reels) install the same way but are not in @pruna — see video-editing and its combination-hyperframes reference. Do not copy craft between skills — install the other skill.
Clarification (library-wide)
Before the first paid API call, bulk generation, or long render, resolve open decisions that change cost or output. SSoT: open intake → generation-diversity clarification intake — generate vs existing media, palette, narration/VO, music, captions, aspect ratio, resolution (480p/768p vs 720p/1080p, canvas, megapixels), p-video-2-pro mode (cost/speed/quality), p-video-2-pro-reference mode (cost/speed only), reference source/role/count/length and paid input cost, structure, and workflow approval gates.
| Skill type | Behavior |
|---|---|
| Guides / tools | Defer to clarification intake when the brief is silent; craft skills clarify creative locks before drafting prompts. |
| Workflows | Run the workflow Intake: ask before generating table, then cross-check universal topics in clarification intake. |
| HyperFrames (optional) | Fresh jobs: intent interview → BRIEF.md. Edits/resume: hyperframes clarification-before-build reference. |
| pruna-api | Credentials + pruna-api agent-safety reference before upload. |
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.
- 10d ago Changed · +29 tokens per session b7f7052febe2
- 26d ago Changed · +17 tokens per session 2e819a3b63a9
- 1mo ago Changed · +7 tokens per session 92776b3c0382
- 1mo ago First seen · 79 lines · 1,052 tokens per session scan A 511cc1a94665
pruna-skills AGENTS.md is an instructions file published in the GitHub repository PrunaAI/pruna-skills (20 stars, last pushed 11d ago), licensed Apache-2.0. It adds 1,105 tokens to every session, about $0.0044 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.