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 unblockingapi/mcp --skill build-appgit clone --depth 1 https://github.com/unblockingapi/mcpWrote 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/unblockingapi/mcp/build-app)<a href="https://agentmods.dev/skills/unblockingapi/mcp/build-app"><img src="https://agentmods.dev/badge/skills/unblockingapi/mcp/build-app/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/unblockingapi/mcp/build-app"><img src="https://agentmods.dev/badge/skills/unblockingapi/mcp/build-app.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 | $0.00076 | $0.00904 |
| Opus 5.5 | $0.00030 | $0.00362 |
| Sonnet 5.5 | $0.00015 | $0.00181 |
| Haiku 4.5 | $0.00008 | $0.00090 |
Grade A, and why
build-app 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
(`fetch`, `urllib`/`httpx`, `Net::HTTP`, curl). Do not add an SDK dependency, and How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building on UnblockingAPI
Apps call the REST API directly over HTTPS with the language's own HTTP client
(fetch, urllib/httpx, Net::HTTP, curl). Do not add an SDK dependency, and
do not route app code through the MCP tools: those are for reading pages in this
conversation, not for code that runs later.
Read references/api.md before writing the client code. It has the request and
response fields, the status codes and drop-in client functions for JavaScript
and Python. Read references/fetch-tuning.md when a page comes back incomplete.
Rules that decide whether the app works
- The key stays on the server. Read it from an environment variable or the
platform's secret store (
UNBLOCKINGAPI_KEY) and call the API only from server code: a route handler, server action, edge function, worker or cron job. Never put it in browser JavaScript, a mobile bundle or a committed file. If the project is client-only, add a small server function for the call. - Allow 180 seconds. A plain fetch takes seconds; a rendered one usually 5-20 s and up to ~170 s when a blocked plain fetch falls back to a browser. Set the HTTP client timeout to 180 s, and do not fetch inside a web request that a platform kills after 10-30 s: fetch in a background job, queue or scheduled function, store the result and serve it from the database.
- Small worker pool, honest retries. Process lists 3-5 at a time. Retry 429 (plan concurrency) and 503/504 with backoff. A 500 means the target blocked or failed: it is free, retry later rather than in a tight loop. Stop the job on 402 (out of credits) and fix the request on 422.
- Leave
renderunset. The API fetches plainly first and switches to a browser per site when it must. Setrender: trueonly for content that JavaScript fills in after load, and use the wait options fromreferences/fetch-tuning.mdonly when content is actually missing. - Look for a template before writing a parser. A template returns JSON
instead of HTML and can be fixed without redeploying the app. Use the
templatesskill (orfind_templateswith the target URL) first; parse the HTML yourself only when none covers the site. - Credits. Every successful fetch costs 1 credit, failures are free. Estimate the monthly cost for the user (items x checks per day x 30), cache what was fetched instead of re-fetching, and schedule refreshes no more often than the data changes.
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.
- 2d ago First seen · 63 lines · 76 tokens per session scan A c61c4dbc0e36
build-app is a skill published in the GitHub repository unblockingapi/mcp (2 stars, last pushed yesterday), licensed MIT. It adds 76 tokens to every session and 904 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 2026-10-21.
Other skills, from other repositories
har-derived-api-client
Record a site's XHR into a HAR, derive an HTTP client.
design-patterns
Agents should invoke this skill when choosing patterns, designing traits/interfaces/components, deciding abstraction boundaries, evaluating dependency injection/callbacks, or comparing implementation approaches in Rust, TypeScript/React, or Django/Python.
transformers-js
Run Hugging Face models in JavaScript or TypeScript with Transformers.js, WebGPU, or WASM across browser, Node.js, Bun, and Deno. Use for client-side or JS-runtime inference, not Python training.
mcp-builder
Guide the creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when the user wants to build an MCP server to integrate an external API or service, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
huggingface-community-evals
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .evalresults publication, or community-evals automation.
octen-web-search
Use when anything needs live information from the web — looking something up, checking current or recent information, finding sources, comparing products / vendors / pricing, researching a topic, or reading a specific web page — even if the user never mentions Octen or the word "search". Also use before falling back…