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 Agent-One-Lab/AgentFly --skill hello-skillgit clone --depth 1 https://github.com/Agent-One-Lab/AgentFlyWrote 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/agent-one-lab/agentfly/hello-skill)<a href="https://agentmods.dev/skills/agent-one-lab/agentfly/hello-skill"><img src="https://agentmods.dev/badge/skills/agent-one-lab/agentfly/hello-skill/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/agent-one-lab/agentfly/hello-skill"><img src="https://agentmods.dev/badge/skills/agent-one-lab/agentfly/hello-skill.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 | $0.00039 | $0.00110 |
| Opus 5.5 | $0.00016 | $0.00044 |
| Sonnet 5.5 | $0.00008 | $0.00022 |
| Haiku 4.5 | $0.00004 | $0.00011 |
Grade A, and why
hello-skill 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 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.
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 Skill
When this skill is active, reply to the user with exactly this format:
Hello from skill! <name>
Where <name> is the user's name if you know it, or "friend" otherwise. Use this exact greeting — do not paraphrase.
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 · 14 lines · 39 tokens per session scan A 80656f20f02e
hello-skill is a skill published in the GitHub repository Agent-One-Lab/AgentFly (122 stars, last pushed 2d ago), licensed Apache-2.0. It adds 39 tokens to every session and 110 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-28.
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