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 0xF4ng/aether-growth-fieldwork --skill motion-mlggit clone --depth 1 https://github.com/0xF4ng/aether-growth-fieldworkWrote 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/0xf4ng/aether-growth-fieldwork/motion-mlg)<a href="https://agentmods.dev/skills/0xf4ng/aether-growth-fieldwork/motion-mlg"><img src="https://agentmods.dev/badge/skills/0xf4ng/aether-growth-fieldwork/motion-mlg/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/0xf4ng/aether-growth-fieldwork/motion-mlg"><img src="https://agentmods.dev/badge/skills/0xf4ng/aether-growth-fieldwork/motion-mlg.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 | $0.00113 | $0.04414 |
| Opus 5 | $0.00056 | $0.02207 |
| Sonnet 5 | $0.00023 | $0.00883 |
| Haiku 4.5 | $0.00011 | $0.00441 |
Grade A, and why
motion-mlg 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 11d 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 11d ago First seen · 465 lines · 113 tokens per session scan A 5cd11bc46834
motion-mlg is a skill published in the GitHub repository 0xF4ng/aether-growth-fieldwork (5 stars, last pushed 1mo ago), with no licence file. It adds 113 tokens to every session and 4,414 once invoked, about $0.0006 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.
Other skills, from other repositories
shieldcn-badges
Create polished shieldcn README badges, badge groups, charts, headers, sponsors grids, and full README hero sections. Use when a user wants shadcn/ui-styled badges, Shields.io replacement, npm/GitHub/CI/status badges, download charts, README header banners, contributor/sponsor images, or README Studio guidance.…
gr-geo-cite
A guide for checking whether AI assistants such as ChatGPT, Claude, Perplexity, and Gemini mention or cite your website when answering set questions.
gingiris-reddit-marketing
🇺🇸 Reddit Marketing & Growth Playbook 2026 — The complete Reddit operations SOP for AI/SaaS founders. Covers account warming (Karma 0→500 in 20 days), shadow ban prevention, multi-account matrix via fingerprint browsers, subreddit selection across 10K+ communities, content templates (90/10 rule), Product Hunt ×…
gingiris-github-star-growth
A guide to steadily increasing the number of people who bookmark an open-source project on GitHub by building content, community, events, contributors, and ambassadors.
github-stars-playbook
Design and execute a 14-day GitHub repository growth sprint using README conversion, competitor-window research, Reddit, Hacker News, launch directories, community activation, and contributor loops. Use when launching an open-source repository, diagnosing weak star conversion, or building sustained GitHub discovery…
growth-hacking-playbook
Design, prioritize and run measurable growth experiments across acquisition, activation, retention, referral and revenue. Use when a startup needs an experiment backlog, ICE/RICE prioritization, referral or UGC loops, rapid weekly testing, causal measurement, or stop conditions without spam, fake accounts or dark…