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Generate compression reports for video processing. An agent skill from benchflow-ai/skillsbench.
Install Report Generator
$ npx skills add benchflow-ai/skillsbench --skill report-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench report-generator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/report-generator .claude/skills/report-generator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "report-generator" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/report-generator into .claude/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/report-generatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add benchflow-ai/skillsbench --skill report-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench report-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/report-generator .agents/skills/report-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "report-generator" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/report-generator into .agents/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill report-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench report-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/report-generator .cursor/skills/report-generator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "report-generator" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/report-generator into .cursor/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks/video-silence-remover/environment/skills/report-generator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add benchflow-ai/skillsbench --skill report-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench report-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/report-generator .gemini/skills/report-generator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "report-generator" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/report-generator into .gemini/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install benchflow-ai/skillsbench report-generatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add benchflow-ai/skillsbench --skill report-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/report-generator .github/skills/report-generator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "report-generator" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/report-generator into .github/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill report-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench report-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/report-generator .opencode/skills/report-generator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "report-generator" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/report-generator into .opencode/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
report-generator- GitHub stars
- 1.8k
- Token cost
- ~449 tokens
- SKILL.md length
- 82 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 178
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Generate compression reports for video processing. An agent skill from benchflow-ai/skillsbench.
- You need to create structured JSON reports with duration statistics
- SKILL.md covers Use Cases, Usage, Dependencies and Example, plus 1 more section
- Runs Python scripts from its folder; calls python3
- Compression ratios
What it does
Report Generator is an agent skill from benchflow-ai/skillsbench. Generate compression reports for video processing. Use when you need to create structured JSON reports with duration statistics, compression ratios, and segment details after video processing.
Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/generate_report.py`).
It sits in Data & Analytics, covering Statistics. It works with FFmpeg. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
When your agent uses it
- You need to create structured JSON reports with duration statistics
- Compression ratios
- Segment details after video processing
Example prompts
- “/report-generator”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Report Generator loads about 449 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 82 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 82 words, ~449 tokens.
Download SKILL.mdSave it as
.claude/skills/report-generator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- report-generator
- description
- Generate compression reports for video processing. Use when you need to create structured JSON reports with duration statistics, compression ratios, and segment details after video processing.
Report Generator
Generates compression reports for video processing tasks. Calculates durations, compression ratios, and produces a structured JSON report.
Use Cases
- Generating compression statistics
- Creating structured output reports
- Documenting video processing results
Usage
python3 /root/.claude/skills/report-generator/scripts/generate_report.py \
--original /path/to/original.mp4 \
--compressed /path/to/compressed.mp4 \
--segments /path/to/segments.json \
--output /path/to/report.jsonParameters
--original: Path to original video file--compressed: Path to compressed video file--segments: Path to segments JSON (optional, for detailed report)--output: Path to output report JSON
Output Format
{
"original_duration_seconds": 600.00,
"compressed_duration_seconds": 351.00,
"removed_duration_seconds": 249.00,
"compression_percentage": 41.5,
"segments_removed": [
{"start": 0, "end": 221, "duration": 221, "type": "opening"},
{"start": 610, "end": 613, "duration": 3, "type": "pause"}
]
}Dependencies
- Python 3.11+
- ffprobe (from ffmpeg)
Example
# Generate compression report
python3 /root/.claude/skills/report-generator/scripts/generate_report.py \
--original data/input_video.mp4 \
--compressed compressed_video.mp4 \
--segments all_segments.json \
--output compression_report.jsonNotes
- Uses ffprobe for accurate duration measurement
- Compression percentage = (removed / original) × 100
© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in tasks/video-silence-remover/environment/skills/report-generator of benchflow-ai/skillsbench.
- SKILL.md
- scripts/generate_report.py
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Report Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Report Generator this skillbenchflow-ai/skillsbench | 1.8k | — | ~449 | Automated safety check: Pass | Apache-2.0 | |
| Sandbox Benchvercel/next.js | 143k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.8k | 4 repos | ~5k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Statistical Powerspacering-net/codeg | 3.8k | 2 repos | ~3.6k | Automated safety check: Notes | MIT | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None |
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Works with
Categories
Questions about Report Generator
What does Report Generator do?
Generate compression reports for video processing. An agent skill from benchflow-ai/skillsbench. Report Generator is an agent skill from benchflow-ai/skillsbench. Generate compression reports for video processing.
When should I use Report Generator?
Report Generator fits situations like: you need to create structured JSON reports with duration statistics; compression ratios; segment details after video processing.
How do I install Report Generator in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill report-generator -a claude-code`. Or copy the skill folder (tasks/video-silence-remover/environment/skills/report-generator in benchflow-ai/skillsbench) into .claude/skills/report-generator in your project. Claude Code loads it when a task matches its description.
How do I install Report Generator in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill report-generator -a codex`. Or copy the skill folder (tasks/video-silence-remover/environment/skills/report-generator in benchflow-ai/skillsbench) into .agents/skills/report-generator in your project. Codex loads it when a task matches its description.
Can I use Report Generator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add benchflow-ai/skillsbench --skill report-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/report-generator, .gemini/skills/report-generator, .github/skills/report-generator and .opencode/skills/report-generator in your project.
What does Report Generator need to run?
Going by SKILL.md and its folder, Report Generator needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Report Generator access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Report Generator safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Report Generator use?
Report Generator is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Report Generator use?
About 449 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Report Generator?
Skills that share tags, products or a category with Report Generator: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.8k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.6k stars) and Statistical Power (spacering-net/codeg, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Report Generator?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.