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 instructions/sinch/skills/agents-mdgit clone --depth 1 https://github.com/sinch/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 | $0.00471 | $0.00471 |
| Opus 5 | $0.00235 | $0.00235 |
| Sonnet 5 | $0.00094 | $0.00094 |
| Haiku 4.5 | $0.00047 | $0.00047 |
Grade A, and why
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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
3. Follow the code examples (curl and Node.js SDK) to integrate the API What it actually says
AGENTS.md
Guidance for AI coding agents working with this repository.
Repository Purpose
Official Sinch API skills for AI coding agents. Each skill in skills/ provides getting-started guides, best practices, and gotchas for a Sinch product. Skills are installed by developers via npx skills add sinch/skills and are listed on https://skills.sh/.
How to Discover and Use Skills
Each skills/<product>/SKILL.md contains product-specific guidance for integrating a Sinch API. To find the right skill:
- Browse the
skills/directory to see available products - Open the relevant
SKILL.mdto get getting-started instructions, common patterns, and gotchas - Follow the code examples (curl and Node.js SDK) to integrate the API
Skill Format
Each SKILL.md has:
- YAML frontmatter:
name(e.g.,sinch-conversation-api) anddescription(when to use the skill) - Markdown body: Overview, Getting Started, Key Concepts, Common Patterns, Gotchas & Best Practices, Links
Contributing
When adding or editing skills:
- Use kebab-case for skill folder names (e.g.,
sinch-conversation-api). No spaces, underscores, or capitals. - The skill file must be named exactly
SKILL.md(case-sensitive). No variations (SKILL.MD,skill.md). - Do not add
README.mdinside skill folders. All documentation goes inSKILL.mdorreferences/. - Keep each SKILL.md under 500 lines. Move detailed content to
references/subdirectories if needed. - Use
sinch-<product>naming convention for thenamefield (max 64 characters). descriptionfield must be max 1024 characters. Include both what the skill does and when to use it (trigger conditions with specific phrases).- No XML angle brackets (
<>) in YAML frontmatter. - Write for AI agents: concise, actionable, include code examples.
- Use curl and Node.js SDK (
@sinch/sdk-core) for examples.
Sinch Developer Docs
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 · 41 lines · 471 tokens per session scan A 6cb43b266db9
skills AGENTS.md is an instructions file published in the GitHub repository sinch/skills (9 stars, last pushed 6d ago), licensed Apache-2.0. It adds 471 tokens to every session, about $0.0024 per session on Opus 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 2026-08-31.
Other instructions, from other repositories
agentrq AGENTS.md
Instructions for agentrq/agentrq, covering agentrq codebase notes, project layout, running tests, mcp server (backend/internal/controller/mcp/) and events (experimental).
thinkrail AGENTS.md
Instructions for JetBrains/thinkrail, covering thinkrail, module structure & boundaries (top-priority requirement), engine: pi only, in-process, architecture (three rings) and repo layout.
agent-rules child-process.instructions.md
Instructions for lirantal/agent-rules, covering system processes secure coding guidelines, your mission and spawning system processes.
agent-skills AGENTS.md
Instructions for sayeed1999/agent-skills, covering agents.md, output style, output style, 1. think before code and 2. simplicity.
metatron CLAUDE.md
Instructions for kerbelp/metatron, covering claude.md, what metatron is, tech stack (decided — not open for debate), core principle and source of truth (depends on deployment).
metatron AGENTS.md
Instructions for kerbelp/metatron, covering agents.md, what metatron is, tech stack (decided — not open for debate), core principle and workflow.