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 Manavarya09/public-apis-live --skill choosing-an-apigit clone --depth 1 https://github.com/Manavarya09/public-apis-liveWrote 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/manavarya09/public-apis-live/choosing-an-api)<a href="https://agentmods.dev/skills/manavarya09/public-apis-live/choosing-an-api"><img src="https://agentmods.dev/badge/skills/manavarya09/public-apis-live/choosing-an-api/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/manavarya09/public-apis-live/choosing-an-api"><img src="https://agentmods.dev/badge/skills/manavarya09/public-apis-live/choosing-an-api.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 | $0.00042 | $0.00170 |
| Opus 5 | $0.00021 | $0.00085 |
| Sonnet 5 | $0.00008 | $0.00034 |
| Haiku 4.5 | $0.00004 | $0.00017 |
Grade A, and why
choosing-an-api 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 12d 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
Choosing a Public API
When a task needs an external data source or service, query the public-apis-live MCP tools
before guessing a provider:
list_categoriesto see what's available.search_apiswith acategoryand/orsearchterm; preferstatus: "up"andauth: "none"for zero-setup options.get_apifor full details (URL, auth, HTTPS) before recommending one.
Always tell the user the auth requirement and that status reflects reachability, not functional testing.
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.
- 12d ago First seen · 17 lines · 42 tokens per session scan A f3e9b4a222ea
choosing-an-api is a skill published in the GitHub repository Manavarya09/public-apis-live (144 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 170 once invoked, about $0.0002 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.
Other skills, from other repositories
lap
LAP CLI -- compile, search, and manage API specs for AI agents. Use when working with API specifications (OpenAPI, GraphQL, AsyncAPI, Protobuf, Postman), compiling specs to LAP format, searching the LAP registry, generating skills from API specs, or publishing APIs. Commands: init, compile, search, get, skill…
lap
LAP CLI -- compile, search, and manage API specs for AI agents. Use when working with API specifications (OpenAPI, GraphQL, AsyncAPI, Protobuf, Postman), compiling specs to LAP format, searching the LAP registry, generating skills from API specs, or publishing APIs. Commands: init, compile, search, get, skill…
agentsecrets
Zero-knowledge secrets infrastructure — AI agents manage the complete credential lifecycle without ever seeing values.
presentation
Turn a tech-spec directory into an interactive, marketing-grade web presentation — built so engineers understand the design, the reader is convinced of the why, and the result is shareable in public. Use when someone wants a spec turned into a deck.
iii-core-primitives
Use when registering iii functions, binding triggers, selecting sync/void/enqueue invocation, creating workers, inspecting the live worker registry, installing registry workers, authoring custom triggers, moving channel data, or adapting external HTTP functions across TypeScript, Python, and Rust.
iii-sandbox
Ephemeral microVM sandboxes for running untrusted or agent-generated code in isolation — a one-call run path, a create/exec/stop lifecycle, and a set of filesystem operations.