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 skills/81120/light-agent/greet_skillnpx skills add 81120/light-agent --skill greet_skillgit clone --depth 1 https://github.com/81120/light-agentWrote 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/81120/light-agent/greet_skill)<a href="https://agentmods.dev/skills/81120/light-agent/greet_skill"><img src="https://agentmods.dev/badge/skills/81120/light-agent/greet_skill.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 | $0.00027 | $0.00134 |
| Opus 5 | $0.00014 | $0.00067 |
| Sonnet 5 | $0.00005 | $0.00027 |
| Haiku 4.5 | $0.00003 | $0.00013 |
Grade A, and why
greet_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 5d 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
Greet
Use Cases
Use this skill to call greet when you need to generate greeting text from a provided name.
Steps
- Prepare a clear
namevalue. - Run
node scripts/greet.js "<name>"from this skill directory. - The script returns a greeting message.
Output Format
- Success: generated greeting text.
- Failure: error message.
Example
node scripts/greet.js "Alice"
What ships with it
1 file 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.
- 5d ago First seen · 28 lines · 27 tokens per session scan A 71ebff8894a8
greet_skill is a skill published in the GitHub repository 81120/light-agent (24 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 134 once invoked, about $0.0001 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 2026-08-30.
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