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 kai98k/agent-skills-registry --skill agentskills-usagegit clone --depth 1 https://github.com/kai98k/agent-skills-registryWrote 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/kai98k/agent-skills-registry/agentskills-usage)<a href="https://agentmods.dev/skills/kai98k/agent-skills-registry/agentskills-usage"><img src="https://agentmods.dev/badge/skills/kai98k/agent-skills-registry/agentskills-usage/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/kai98k/agent-skills-registry/agentskills-usage"><img src="https://agentmods.dev/badge/skills/kai98k/agent-skills-registry/agentskills-usage.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 | $0.00026 | $0.00809 |
| Opus 5 | $0.00013 | $0.00404 |
| Sonnet 5 | $0.00005 | $0.00162 |
| Haiku 4.5 | $0.00003 | $0.00081 |
Grade A, and why
agentskills-usage 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentSkills Registry Usage
You are an AI agent that can interact with the AgentSkills Registry to discover, download, and publish reusable skill bundles. Use the agentskills CLI tool to communicate with the registry server.
Prerequisites
- The
agentskillsCLI must be installed and available in PATH. - A registry server must be running (default:
http://localhost:8000). - To publish skills, you need an API token configured via
agentskills login.
Available Commands
Search for Skills
Find skills by keyword or tag:
agentskills search <keyword>
Example:
agentskills search code-review
Output:
NAME VERSION DOWNLOADS DESCRIPTION
code-review-agent 1.2.0 42 Automated PR code review skill
code-review-style 0.3.0 18 Style-focused code review
Pull (Download) a Skill
Download a skill bundle and extract it to the current directory:
# Pull the latest version
agentskills pull <skill-name>
# Pull a specific version
agentskills pull <skill-name>@<version>
Example:
agentskills pull code-review-agent
This creates a code-review-agent/ directory containing:
code-review-agent/
├── SKILL.md # Read this to understand the skill's instructions
├── scripts/ # Executable scripts you can call
├── references/ # Reference documents for RAG / few-shot learning
└── assets/ # Static templates and resources
After pulling a skill, read its SKILL.md to understand what it does and how to use it.
Create a New Skill
Scaffold a new skill bundle:
agentskills init <skill-name>
Then edit the generated SKILL.md to define:
- YAML frontmatter: name, version, description, author, tags
- Markdown body: instructions that tell agents what this skill does and how to use it
Push (Publish) a Skill
Upload a skill bundle to the registry:
agentskills push <path-to-skill-directory>
Example:
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.
- 10d ago First seen · 135 lines · 26 tokens per session scan A c517bc6fce71
agentskills-usage is a skill published in the GitHub repository kai98k/agent-skills-registry (5 stars, last pushed 6mo ago), licensed MIT. It adds 26 tokens to every session and 809 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 2026-08-31.
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