Borrowing it
Nothing to install: this file belongs to sivi/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/sivi/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/sivi/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/sivi/skills/agents-md)<a href="https://agentmods.dev/instructions/sivi/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/sivi/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/sivi/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/sivi/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 | $0.02708 | $0.02708 |
| Opus 5.5 | $0.01083 | $0.01083 |
| Sonnet 5.5 | $0.00542 | $0.00542 |
| Haiku 4.5 | $0.00271 | $0.00271 |
Grade B, and why
skills AGENTS.md scanned grade B with 2 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 2mo 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
The body is markdown documentation that agents consume to learn the API workflow, including step-by-step bash script templates, argument parsing rules, error handling, and result display instructions. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Cross-platform**: Scripts must work on macOS, Linux, and Windows (Git Bash / WSL). Never use `head -n -1` or `jq`. Use `python3` for JSON parsing and `curl -o` for response handling. How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This file provides guidance to AI agents when working with code in this repository.
Overview
This is a skills repository for AI agents (Claude Code, Cursor, Copilot, Windsurf, Cline, etc.) to generate production-ready design assets and manage brand marketing campaigns using the Sivi API. It contains no application code — only skill definition files (SKILL.md) that teach AI agents how to call the Sivi Core API via bash scripts.
Skills are installed by users via npx skills add sivi/skills (see skills.sh).
Skill System Architecture
Skills are organized in three layers:
Layer 0 — Foundation
setup-sivi— One-time setup and the shared home. Creates the single.env(capturesSIVI_API_KEY) and owns the_shared/reference files. Every other skill resolves this folder at runtime as$SIVI_HOMEand sources its.env— no copies. Run this before any design/media skill.brand-context(coming soon) — Creates a brand profile via two paths: (A) extract from a URL, or (B) create from name + description. Checks Sivi workspace for existing brands before creating. Registers with Sivi, createsbrands/<slug>/brand.md. All other skills depend on this.
Layer 1 — Atomic engines (single API job)
generate-design— Orchestrates the full design workflow: copy generation (step 2.2, optional) → media enhancement (step 3.2, optional) → image generation (step 3.3, when no assets provided) → design generation. Supports bothdesigns-from-content(copy-first, pixel-faithful text) anddesigns-from-prompt(direct generation, no copy review). The core execution engine. Uses_shared/submit-and-poll-content.sh(default) and_shared/submit-and-poll-prompt.sh(alternative) as its submit/poll templates.write-copy— Standalone copy-only skill. Generates 2 copy variations (agent-generated, no API). For users who want copy without design generation.enhance-media— AI image generation and enhancement.handle-media— Lightweight image resolver: resolves any of 4 sources (local file, direct image URL, product/webpage URL auto-pick, AI generation) into a SivimId/mediaUrl. Used by composite skills to avoid duplicating media handling scripts. No brand required, no save-to-folder.brand-assets(coming soon) — Brand-scoped asset manager: uploads local files to Sivi via presigned URL, registers remote/product/webpage URLs, and saves references in the brand's assets folder. Requires brand association. For lightweight resolution without brand, seehandle-media.manage-brand(coming soon) — List, update, switch, or archive brands.
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.
- 2mo ago First seen · 140 lines · 2,708 tokens per session scan B 5fd5e1baf045
skills AGENTS.md is an instructions file published in the GitHub repository sivi/skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 2,708 tokens to every session, about $0.0108 per session on Opus 5.5. A static security scan graded it B with 2 findings (asks the agent to reveal its instructions, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skills AGENTS.mdsivi/skills | Instructions file | 2 | 1mo ago | MIT | B | 2,708 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |