AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified Apache-2.0 Self-run

Summarize

skill-zhouguoqing-qianyuan-aiagenticframework-summarize · by zhouguoqing

Use the steipete/summarize CLI to summarize URLs, local files, stdin, YouTube links, podcasts, and media with LLM models. Use when installing or running summarize, configuring provider/API keys, tuning length/language/json/extract/slides flags, setting ~/.summarize/config.json defaults, or troubleshooting CLI errors.

↗ Repository
— No reviews yet
0 installs
9 views
0.0% view→install

Install

$ agentstack add skill-zhouguoqing-qianyuan-aiagenticframework-summarize

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README — it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-zhouguoqing-qianyuan-aiagenticframework-summarize)

Reliability & compatibility

✓ Security review passed
0 installs to date
— no reviews yet
● 1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Summarize? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Summarize CLI

Use this skill to run summarize effectively in terminal workflows. Focus on practical usage and command execution, not broad project background.

Workflow

  1. Confirm input type and desired output format.
  2. Run a minimal real command first (summarize "").
  3. Select a model/provider and ensure matching API credentials.
  4. Add flags incrementally only after a baseline run succeeds.
  5. If it fails, re-run with --verbose or --json before changing multiple variables.

Quick Patterns

  • Summarize a URL: summarize "https://example.com"
  • Summarize a local file: summarize "/path/to/file.pdf"
  • Summarize piped input: cat notes.md | summarize -
  • Summarize YouTube/media URL: summarize "https://youtube.com/watch?v=..."
  • Force model/provider: summarize "https://example.com" --model openai/gpt-5-mini
  • Control length: summarize "https://example.com" --length long
  • Return diagnostics JSON: summarize "https://example.com" --json
  • Extract content without summarizing: summarize "https://example.com" --extract --format md

Configuration Rules

  • Prefer explicit --model on task-critical runs.
  • Use ~/.summarize/config.json for stable defaults.
  • Remember precedence for model selection:
  1. --model
  2. SUMMARIZE_MODEL
  3. ~/.summarize/config.json
  4. built-in default (auto)

Troubleshooting Flow

  1. Re-run with --verbose.
  2. Confirm API key matches the chosen provider/model.
  3. Switch to a known-good model (for example openai/gpt-5-mini or google/gemini-3-flash-preview).
  4. For media or YouTube failures, verify external dependencies (yt-dlp, ffmpeg, optionally tesseract).
  5. Use --json to inspect extraction and metric fields.

Scope

  • Prioritize how to run commands and fix concrete failures.
  • Do not include full repository-level documentation unless explicitly requested.
  • Use [references/cli.md](references/cli.md) only for deeper flag/provider details.

References

Read [references/cli.md](references/cli.md) for install commands, provider keys, advanced flags, and error-specific guidance.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Write a review

Versions

  • v0.1.0 Imported from the upstream source.

More in AI & ML