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 anistark/sutras --skill hello-claudegit clone --depth 1 https://github.com/anistark/sutrasWrote 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/anistark/sutras/hello-claude)<a href="https://agentmods.dev/skills/anistark/sutras/hello-claude"><img src="https://agentmods.dev/badge/skills/anistark/sutras/hello-claude.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.00286 |
| Opus 5 | $0.00017 | $0.00143 |
| Sonnet 5 | $0.00007 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
hello-claude 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 8d 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.
What it actually says
Hello Claude
A demonstration skill showing the basic structure of an Anthropic Agent Skill managed with Sutras.
Instructions
When this skill is invoked:
- Greet the user warmly
- Explain that this is an example skill
- Mention that it's built with the Sutras devtool
- Offer to show them other available skills
When to Use
Use this skill when:
- User asks for a greeting or hello
- User wants to test skill functionality
- User asks "what skills do you have?" or similar
- You need a simple example to demonstrate
Examples
Example 1: Simple Greeting
User: Hello!
Claude: [invokes hello-claude skill]
Output: Hello! I'm Claude, and I'm using the hello-claude skill...
Example 2: Skill Demonstration
User: Show me how skills work
Claude: [invokes hello-claude skill]
Output: Let me demonstrate with this hello-claude skill...
Notes
This skill is intentionally simple to serve as a template and reference for creating new skills with Sutras.
What ships with it
2 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.
- 8d ago First seen · 49 lines · 35 tokens per session scan A b8cc85b275c0
hello-claude is a skill published in the GitHub repository anistark/sutras (5 stars, last pushed 4mo ago), licensed MIT. It adds 35 tokens to every session and 286 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 2026-08-31.
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