Movie Review

v2.0.1

Write film reviews, get recommendations, and manage watchlists with spoiler control. Use when drafting reviews, getting recs, comparing films side by side.

0· 402·2 current·2 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for bytesagain3/movie-review.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Movie Review" (bytesagain3/movie-review) from ClawHub.
Skill page: https://clawhub.ai/bytesagain3/movie-review
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install movie-review

ClawHub CLI

Package manager switcher

npx clawhub@latest install movie-review
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
Name/description (movie reviews, recommendations, watchlists, local storage) align with what the skill implements: a Bash script that provides CLI commands and writes logs to ~/.local/share/movie-review. There are no unexpected external services, binaries, or credentials required.
Instruction Scope
Runtime instructions and the script operate on local data files only (create/read/write ~/.local/share/movie-review/*.log, history.log, export files). This matches the stated purpose. Note: stored entries are written in plaintext under the user's home directory and may contain sensitive content if you save it; the SKILL.md and script instruct the agent/user to persist content locally.
Install Mechanism
No install spec or network downloads are present. The skill is instruction-only with an included shell script; it does not pull code from remote URLs or package registries.
Credentials
The skill declares no required environment variables, credentials, or config paths and the script does not attempt to read secrets or unrelated config. Requested filesystem access (user HOME/.local/share) is proportionate to providing local persistent storage.
Persistence & Privilege
always:false and user-invocable:true (default) — the skill does not auto-install or demand permanent platform-wide privileges. It only creates and manages files within its own data directory and does not modify other skills or global agent configuration.
Assessment
This skill is a local CLI that saves all entries in plaintext under ~/.local/share/movie-review/. Before installing or running it: (1) review the full script to confirm no unexpected remote calls (the provided script appears local-only); (2) be aware any drafted text you save is stored unencrypted and could include sensitive info — change DATA_DIR or restrict permissions if needed; (3) if you want tighter containment, run the script in a sandbox/container or symlink DATA_DIR to a controlled location; (4) verify the truncated portion of the script (if any) contains no network or credential access before trusting it fully.

Like a lobster shell, security has layers — review code before you run it.

latestvk97fqxgrj1t37dr9zpatd3aqc9835t68
402downloads
0stars
11versions
Updated 1mo ago
v2.0.1
MIT-0

Movie Review

A content toolkit for movie reviews. Draft reviews, edit text, optimize for SEO, schedule posts, generate hashtags, create hooks, write CTAs, rewrite content, translate, adjust tone, craft headlines, and build outlines — all from the command line with persistent local storage.

Commands

Content Creation

CommandDescriptionUsage
draftDraft a new movie review or content piecemovie-review draft <text>
editEdit and refine existing review textmovie-review edit <text>
rewriteRewrite content with a fresh perspectivemovie-review rewrite <text>
outlineBuild a structured outline for a reviewmovie-review outline <text>
headlineCraft compelling headlines for reviewsmovie-review headline <text>

Optimization & Publishing

CommandDescriptionUsage
optimizeOptimize content for readability and SEOmovie-review optimize <text>
scheduleSchedule review content for publishingmovie-review schedule <text>
hashtagsGenerate relevant hashtags for social mediamovie-review hashtags <text>
hooksCreate attention-grabbing opening hooksmovie-review hooks <text>
ctaWrite call-to-action lines for engagementmovie-review cta <text>

Content Transformation

CommandDescriptionUsage
translateTranslate review content to other languagesmovie-review translate <text>
toneAdjust the tone of writing (formal, casual, etc.)movie-review tone <text>

Data & Management

CommandDescriptionUsage
statsShow summary statistics across all entriesmovie-review stats
export <fmt>Export data in json, csv, or txt formatmovie-review export json
search <term>Search across all stored entriesmovie-review search "Nolan"
recentShow the 20 most recent activity entriesmovie-review recent
statusHealth check — version, disk usage, last activitymovie-review status
helpShow the built-in help messagemovie-review help
versionPrint the current version (v2.0.0)movie-review version

Each content command (draft, edit, optimize, etc.) works in two modes:

  • Without arguments — displays the most recent 20 entries from that command's log
  • With arguments — saves the input with a timestamp and logs it to history

Data Storage

All data is stored locally in ~/.local/share/movie-review/:

  • Each command writes to its own log file (e.g., draft.log, edit.log, hashtags.log)
  • A unified history.log tracks all activity across commands
  • Entries are timestamped in YYYY-MM-DD HH:MM|<content> format
  • Export supports JSON, CSV, and plain text formats

Requirements

  • Bash (any modern version)
  • No external dependencies — pure shell script
  • Works on Linux and macOS

When to Use

  1. Drafting a movie review — use draft to capture your initial thoughts, then edit and rewrite to polish
  2. Preparing social media posts — use hashtags, hooks, and cta to create engaging content around your review
  3. Planning a review series — use outline to structure your content and schedule to plan publishing dates
  4. Optimizing for reach — use optimize for SEO, headline for click-worthy titles, and tone to match your audience
  5. Tracking your review portfolio — use stats to see totals, recent for latest activity, and export to back up everything

Examples

# Draft a new review
movie-review draft "Inception (2010) - Nolan's masterpiece of layered storytelling"

# Generate hashtags for social media
movie-review hashtags "Inception review sci-fi thriller Christopher Nolan"

# Create an attention-grabbing hook
movie-review hooks "What if the greatest heist movie ever made took place inside your mind?"

# Write a call-to-action
movie-review cta "Share your favorite Nolan film in the comments"

# Export all data as JSON
movie-review export json

# Search for all entries mentioning a director
movie-review search "Nolan"

# Check overall statistics
movie-review stats

Output

All content commands print a confirmation with the saved entry and a running total count. Data management commands (stats, status, export) output structured summaries. Use export json for machine-readable output.

Configuration

Set DATA_DIR by editing the script or symlinking ~/.local/share/movie-review/ to your preferred location.


Powered by BytesAgain | bytesagain.com | hello@bytesagain.com

Comments

Loading comments...