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 Ontheia/ontheia --skill skill-creatorgit clone --depth 1 https://github.com/Ontheia/ontheiaWrote 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/ontheia/ontheia/skill-creator)<a href="https://agentmods.dev/skills/ontheia/ontheia/skill-creator"><img src="https://agentmods.dev/badge/skills/ontheia/ontheia/skill-creator/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/ontheia/ontheia/skill-creator"><img src="https://agentmods.dev/badge/skills/ontheia/ontheia/skill-creator.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 | $0.00064 | $0.07604 |
| Opus 5.5 | $0.00026 | $0.03042 |
| Sonnet 5.5 | $0.00013 | $0.01521 |
| Haiku 4.5 | $0.00006 | $0.00760 |
Grade A, and why
skill-creator 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 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.
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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
14 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.
- agents/analyzer.md 10 KB
- agents/comparator.md 7.1 KB
- agents/grader.md 8.8 KB
- assets/eval_review.html 6.9 KB
- eval-viewer/generate_review.py 16 KB runs code
- eval-viewer/viewer.html 44 KB
- LICENSE.txt 11 KB
- references/schemas.md 12 KB
- scripts/__init__.py 0 B runs code
- scripts/aggregate_benchmark.py 14 KB runs code
- scripts/generate_report.py 13 KB runs code
- scripts/package_skill.py 4.1 KB runs code
- scripts/quick_validate.py 3.9 KB runs code
- scripts/run_eval_ontheia.py 12 KB runs code
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 · 540 lines · 64 tokens per session scan A a258d47c59fd
skill-creator is a skill published in the GitHub repository Ontheia/ontheia (12 stars, last pushed 12d ago), licensed AGPL-3.0. It adds 64 tokens to every session and 7,604 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
suede-clip-to-guide
Suede AI short-to-long content funnel: turns a video, clip, interview moment, talk excerpt, screen recording, or transcript into a scored, rights-checked package that bridges attention to an owned guide, X Article, LinkedIn article, newsletter, or playbook, and makes that guide the page search engines and AI answers…
suede-aso
Suede AI app-store optimization for keyword fields, titles, subtitles, descriptions, screenshots, ratings context, and competitor listing audits. Use when improving App Store or Google Play visibility or listing conversion from a live app URL and current console evidence, or when authoring keyword, name, subtitle, and…
suede-competitor-profiling
Suede AI competitive-intelligence discipline: evidence-backed profiles of positioning, pricing, messaging, product, proof, reviews, organic search footprint, and AI answer visibility, built from current public URLs with raw captures saved and fact, inference, and unknowns kept separate. Use when researching named…
suede-copy
Suede AI writing skill for every copy surface: conversion copy for landing sections, heroes, headlines, CTAs, and microcopy; email and social posts; product listings, README and docs pages; public explainers; brand-voice retunes; and agent-facing docs such as SKILL.md, CLAUDE.md, and AGENTS.md. Includes an…
suede-graph-flo-xr
Suede AI multi-file shipping workflow (Suede Thought Graph shipping search) for one repo change: generates competing implementation plans, scores and prunes them, refutes the survivors, aggregates compatible lanes, selects one winner, then builds it in an isolated worktree behind a sandboxed gate and writes a handoff…
suede-newsroom
Suede AI editorial pipeline for agent-run content: six roles with written contracts, one inspectable campaign record, and a distribution stage that gives every asset its own argument instead of a shorter draft. Use when content agents return generic, duplicated, or unsourced work, when one flagship piece has to carry…