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 Affitor/open-affiliate --skill skillgit clone --depth 1 https://github.com/Affitor/open-affiliateWrote 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/affitor/open-affiliate/skill)<a href="https://agentmods.dev/skills/affitor/open-affiliate/skill"><img src="https://agentmods.dev/badge/skills/affitor/open-affiliate/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/skills/affitor/open-affiliate/skill"><img src="https://agentmods.dev/badge/skills/affitor/open-affiliate/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 | $0.00067 | $0.00467 |
| Opus 5.5 | $0.00027 | $0.00187 |
| Sonnet 5.5 | $0.00013 | $0.00093 |
| Haiku 4.5 | $0.00007 | $0.00047 |
Grade A, and why
openaffiliate scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://openaffiliate.dev/api/programs?q=ai&type=recurring&verified=true" The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 34 lines · 67 tokens per session scan A 5defa5c0f319
openaffiliate is a skill published in the GitHub repository Affitor/open-affiliate (117 stars, last pushed today), with no licence file. It adds 67 tokens to every session and 467 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-09.
Other skills, from other repositories
managing-sources
How to create, delete, list, validate, and manage changelog sources — covers ignored/blocked URLs, duplicate detection, and the validation workflow.
maintaining-orgs
Routine maintenance of indexed organizations — fetch all sources, regenerate overviews, verify data quality. Use when asked to "update", "refresh", or "maintain" one or more orgs, or when doing periodic sweeps of the registry.
regenerating-overviews
Generate or refresh an org's AI overview from recent releases. Use when asked to "regenerate", "rewrite", or "refresh the overview" for one or more orgs, or as the regen step inside a maintaining-orgs run.
finding-changelogs
How to find, evaluate, and recommend the best ingestion method for changelog URLs — covers feed discovery, provider detection, GitHub API, markdown sources, and scraping fallback.
generating-release-content
Generate the AI fields on releases — titlegenerated, titleshort, summary, and composition — for one release, a window, or a backfill, via Claude Code sub-agents and direct SDK calls (OpenRouter/DeepSeek to match production summarize). Use when iterating on prompts, running provider/model experiments, or filling in a…
local-ingest
Onboard or backfill a company's changelog locally in Claude Code by fetching pages and extracting releases with the agent itself (and parallel sub-agents), then writing through the batch-upsert endpoint — no remote fetch dispatch, no server-side extraction inference billing. Use when you want to onboard a source…