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 fullstack-phoenix/saas_kit --skill ai-integrationgit clone --depth 1 https://github.com/fullstack-phoenix/saas_kitWrote 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/fullstack-phoenix/saas_kit/ai-integration)<a href="https://agentmods.dev/skills/fullstack-phoenix/saas_kit/ai-integration"><img src="https://agentmods.dev/badge/skills/fullstack-phoenix/saas_kit/ai-integration/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/fullstack-phoenix/saas_kit/ai-integration"><img src="https://agentmods.dev/badge/skills/fullstack-phoenix/saas_kit/ai-integration.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 | $0.00035 | $0.00296 |
| Opus 5.5 | $0.00014 | $0.00118 |
| Sonnet 5.5 | $0.00007 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
ai-integration 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 2mo 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
AI Integration
Use this folder when adding LLM-backed features to an application.
Rules
- Centralize provider keys and model names in
MyApp.Agents. - Keep task-specific modules under
MyApp.Agents.*so they are easy to scan in code search and editor symbol lists. - Use a topic-and-action naming style such as
MyApp.Agents.PostsWritePost. - Use structured outputs when downstream code expects validated fields.
- Use freeform outputs when downstream code expects prose, code, markdown, or loose JSON.
- Test provider calls and boundary modules with Mimic instead of hitting real services.
- Do not store provider credentials in shared
config/config.exs; keep them inconfig/dev.exs.
Read Next
- For validated, typed outputs with
InstructorLite, readstructured-data/SKILL.md. - For raw text, code, and JSON extraction helpers, read
freeform-data/SKILL.md.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 24 lines · 35 tokens per session scan A 98395a682af4
ai-integration is a skill published in the GitHub repository fullstack-phoenix/saas_kit (2 stars, last pushed 4mo ago), licensed MIT. It adds 35 tokens to every session and 296 once invoked, about $0.0001 per session on Opus 5.5. 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.
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