Text summarizer

Skill ChronoAIProject/Ornn/examples/text-summarizer

Your all-in-one skills-as-a-service platform to manage your skills, auto-generate skills and use agent skills as simple as calling an API.

Install

npx -y skills add ChronoAIProject/Ornn --skill text-summarizer

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One thing to look at

19 stars19 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Summarise a chunk of text down to roughly `length` words using the agent's configured LLM provider. Input shape `{ text: string, length?: number }` on stdin, JSON; output shape `{ summary: string }` on stdout, JSON. Minimal: ~50 lines, no streaming, no retries — a deliberate baseline so the wiring is visible. For a production summariser, fork this and add retries, prompt-injection sanitisation, length validation, and per-model cost tracking.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.8 KB, as published. Nobody here has run it

text-summarizer

A minimum-viable LLM skill — the smallest amount of code that takes structured input, calls an LLM, and emits structured output.

Contract

Input (stdin, JSON):

{ "text": "...long input...", "length": 60 }

text (string, required) — what to summarise.
length (number, optional, default 60) — target word count for the summary.

Output (stdout, JSON):

{ "summary": "..." }

Errors — written to stderr as { "error": "...message..." } and exit code 1.

Required environment

Var	Purpose
`ANTHROPIC_API_KEY`	Talks to Claude. Swap the SDK call to point at OpenAI / Gemini / your own backend; nothing else changes.

Run locally

cd examples/text-summarizer
bun install
ANTHROPIC_API_KEY=sk-ant-... echo '{"text":"...","length":40}' | bun run src/index.ts

Adapt this

Different model vendor — replace Anthropic with the SDK of your choice; the I/O shape stays.
Stream output — emit one JSON line per token instead of one final blob.
Sanitise input — the current code passes text to the model verbatim; for untrusted callers, strip control characters and cap length before the API call.