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 1-SKILL/ai-skill --skill ai-skillgit clone --depth 1 https://github.com/1-SKILL/ai-skillWrote 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/1-skill/ai-skill/ai-skill)<a href="https://agentmods.dev/skills/1-skill/ai-skill/ai-skill"><img src="https://agentmods.dev/badge/skills/1-skill/ai-skill/ai-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/1-skill/ai-skill/ai-skill"><img src="https://agentmods.dev/badge/skills/1-skill/ai-skill/ai-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
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 | $0.00629 | $0.03326 |
| Opus 5.5 | $0.00252 | $0.01330 |
| Sonnet 5.5 | $0.00126 | $0.00665 |
| Haiku 4.5 | $0.00063 | $0.00333 |
Grade A, and why
ai-skill 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 1mo 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.
curl -s "https://raw.githubusercontent.com/1-SKILL/ai-skill/main/recommendations.json" The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 1mo ago First seen · 209 lines · 629 tokens per session scan A 9e594491cc44
ai-skill is a skill published in the GitHub repository 1-SKILL/ai-skill (7 stars, last pushed 6mo ago), with no licence file. It adds 629 tokens to every session and 3,326 once invoked, about $0.0025 per session on Opus 5.5. 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 skills, from other repositories
mc-zenn
Turn MulmoClaude work into a Zenn tech article (markdown) inside the workspace. On first use it sets up a Zenn project at github/zenn/ — clone an existing GitHub repo or zenn init a fresh one, idempotent and skipped when already initialized — then writes articles to github/zenn/articles/ .md tagged with the…
nav-loop
Run tasks until complete with structured completion signals. Auto-invoke when user says "run until done", "keep going until complete", "iterate until finished", "loop mode", "autonomous mode".
nav-skill-creator
Analyze codebase patterns and create custom skills for repetitive workflows. Use when project needs automation or pattern enforcement. Auto-invoke when user says "create a skill for...", "automate this workflow", or "we keep doing X manually".
visual-regression
Setup visual regression testing with Storybook stories, configuration, and CI/CD workflows. Supports Chromatic, Percy, BackstopJS. Auto-invoke when user says "set up visual regression", "add Chromatic tests", "add screenshot testing", or "set up Percy".
example-feature-generator
Generate boilerplate for new features following project conventions. Use when user says "create feature", "add feature", or "new feature scaffolding".
project
Single entry point for project work — renders the live project index, or loads a slug and routes it to the think flow, /implement, /close or a state report, composing /spec, /implement and /close as primitives. Use when the user says "/project", "/project [slug]", "let's work on [project]", "create a project for [X]"…