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/stripe/ai/stripe-docsnpx skills add stripe/ai --skill stripe-docsgit clone --depth 1 https://github.com/stripe/aiWrote 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/stripe/ai/stripe-docs)<a href="https://agentmods.dev/skills/stripe/ai/stripe-docs"><img src="https://agentmods.dev/badge/skills/stripe/ai/stripe-docs.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 | $0.00040 | $0.00212 |
| Opus 5 | $0.00020 | $0.00106 |
| Sonnet 5 | $0.00008 | $0.00042 |
| Haiku 4.5 | $0.00004 | $0.00021 |
Grade A, and why
stripe-docs 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 4d 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.
documentation or API reference. Prefer this over curl or WebFetch for any Copies of this mod
1 near-identical copy found in the catalogue:
- stripe-docs — 100% identical, 7 lines differ
What it actually says
Use stripe docs instead of fetching docs.stripe.com content directly with curl or WebFetch.
- Fetches Markdown automatically
- Purpose-built for agents and terminal workflows
Read a page by its web path
stripe docs /payments
Search documentation by keyword
stripe docs search "payment intents"
Look up API reference
# By resource name
stripe docs api product
# By HTTP method and path
stripe docs api GET /v1/products
# By event type
stripe docs api product.created
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.
- 4d ago First seen · 43 lines · 40 tokens per session scan A fd02afdef978
stripe-docs is a skill published in the GitHub repository stripe/ai (1,790 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 212 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
Other skills, from other repositories
bump-mthds
Move this repo's exact mthds dependency pin to the latest release on PyPI (or a version you name), re-lock, adapt the engine source to whatever the new release broke, run the checks, and write the CHANGELOG entry — stopping before the commit. Use whenever the user says "bump mthds", "update mthds", "upgrade mthds"…
deepseek-harness
Use when building AI agent applications with a plugin-based architecture — Web UI, CLI, Python SDK, Cordis plugin system, multi-model orchestration. DeepSeek Harness (dsh): open-source agent harness by DeepSeek AI where everything is a plugin, powered by Cordis for spatiotemporal composability.
model-context
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
mcp-tool-developer
Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
build-mcp-server
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
agent-tool-builder
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary.