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.
git clone --depth 1 https://github.com/Affitor/affiliate-skillsWrote 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/commands/affitor/affiliate-skills/new-skill)<a href="https://agentmods.dev/commands/affitor/affiliate-skills/new-skill"><img src="https://agentmods.dev/badge/commands/affitor/affiliate-skills/new-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 | $0.00000 | $0.00151 |
| Opus 5 | $0.00000 | $0.00076 |
| Sonnet 5 | $0.00000 | $0.00030 |
| Haiku 4.5 | $0.00000 | $0.00015 |
Grade A, and why
new-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 8d 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
Scaffold a new skill for the affiliate-skills repo.
Ask the user for:
- Skill name (kebab-case, verb-noun format)
- Which stage? (research, content, blog, landing, distribution)
- Brief description of what it does
Then:
- Create
skills/{stage}/[skill-name]/SKILL.mdfromtemplate/SKILL.md - Create
skills/{stage}/[skill-name]/references/directory - Copy
LICENSEtoskills/{stage}/[skill-name]/LICENSE.txt - Fill in the template with the user's input
- Remind the user to write at least 2 examples and test with 3 prompts before PR
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.
- 8d ago First seen · 14 lines · 0 tokens per session scan A 17926a5717d3
new-skill is a command published in the GitHub repository Affitor/affiliate-skills (651 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 151 tokens. 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 commands, from other repositories
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
commit
A command that examines staged Git changes and proposes a commit message using the Conventional Commits format, such as feat, fix, or docs. Git is a tool for tracking changes to code.
init
Scaffold a new MindBase project (v2 layout). Usage: /mb:init [template] [-- mission ...].
recall
Search past tool-call observations with BM25 ranking to answer "have I seen this before?" before re-deriving a fix or repeating a mistake. Enforces Law 1 (Research Before Executing).
claude-request
Send a prompt to Claude Code via the LLM gateway with session tracking.
watch
Live-stream swarm events and agent activity in real time.