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 agentmods add skills/affitor/affiliate-skills/submit-programnpx skills add Affitor/affiliate-skills --skill submit-programgit clone --depth 1 https://github.com/Affitor/affiliate-skillsWhat 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 | $0.00159 | $0.03904 |
| Opus 5 | $0.00079 | $0.01952 |
| Sonnet 5 | $0.00032 | $0.00781 |
| Haiku 4.5 | $0.00016 | $0.00390 |
Grade A, and why
submit-program 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Affiliate Program Lister
Research an affiliate program from official sources and produce a verified, publish-ready listing for openaffiliate.dev. Every number comes from the program's official affiliate page, network page, or pricing page. No guessing.
Stage
This skill belongs to Stage S1: Research
When to Use
- User wants to add an affiliate program to openaffiliate.dev
- User wants to document a program's commission structure in a standard format
- User found a program and wants to create a shareable profile for other affiliates
- User is contributing to the community directory
- User says "list this program" or "add X to the directory"
Input Schema
{
program_name: string # (required) Name of the affiliate program, e.g., "HeyGen"
affiliate_link: string # (optional) User's affiliate link to include in the listing
niche: string # (optional) Category hint, e.g., "AI video", "email marketing"
}
Workflow
Step 1: Confirm Program and Context
Confirm the program name with the user. Ask:
- Do you have an affiliate link for this program? (optional — used for verification only)
- What niche or category does it fall under? (helps with tagging)
If the user says "just list it" or provides enough context, skip questions and proceed.
Step 2: Research from Official Sources
Research the program using only official, verifiable sources. Search in this order:
-
Official affiliate/partner page —
web_search "[program name] affiliate program"orweb_search "[program name] partner program". This is the primary source for commission structure, cookie duration, payment terms, and signup link. -
Affiliate network page — If the program runs through a network (ShareASale, CJ, Impact, PartnerStack, Rewardful, etc.), find the network listing for additional details.
-
Official pricing page —
web_search "[program name] pricing". Needed to calculate realistic earnings (commission % means nothing without knowing the price).
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.
- 2d ago First seen · 403 lines · 159 tokens per session scan A 1ed272b8a135
submit-program is a skill published in the GitHub repository Affitor/affiliate-skills (639 stars, last pushed 2mo ago), licensed MIT. It adds 159 tokens to every session and 3,904 once invoked, about $0.0008 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 2026-08-30.
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