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/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/commands/affitor/affiliate-skills/new-skill"><img src="https://agentmods.dev/badge/commands/affitor/affiliate-skills/new-skill.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 | $0.00000 | $0.00151 |
| Opus 5.5 | $0.00000 | $0.00060 |
| Sonnet 5.5 | $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 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.
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.
- 1mo 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 (743 stars, last pushed 5d 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.
pr
Handle the full workflow from current branch state to an open, CI-monitored pull request.
claude-request
Send a prompt to Claude Code via the LLM gateway with session tracking.
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).
install
This page explains how the livewiki install CLI command detects installed coding agents and safely configures the livewiki MCP server entry, hook templates, shared skills, and optional pointer files.