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 phanghonghao/THU-Awesome-Skills --skill mergegit clone --depth 1 https://github.com/phanghonghao/THU-Awesome-SkillsWrote 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/phanghonghao/thu-awesome-skills/merge)<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/merge"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/merge/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/phanghonghao/thu-awesome-skills/merge"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/merge.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 | $0.00074 | $0.01322 |
| Opus 5.5 | $0.00030 | $0.00529 |
| Sonnet 5.5 | $0.00015 | $0.00264 |
| Haiku 4.5 | $0.00007 | $0.00132 |
Grade A, and why
merge scanned grade A with 0 findings 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 2mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Merge Videos
Merge multiple MP4 videos into a single grid-layout video with optional labels.
Permanent Script
The merge tool is the permanent CLI script next to this file:
<this skill directory>\merge_videos.py
After syncing to Claude with codex2claude, use the copied script in Claude's merge
skill directory. Do not use hardcoded stale paths such as .claude-key3.
Do not generate temporary merge scripts. Always call this permanent script directly with python.
Templates
| Template | Layout | Video Count | Description |
|---|---|---|---|
2x1 |
2 rows, 1 col | 2 | Vertical stack of 2 videos |
3x1 |
3 rows, 1 col | 3 | Vertical stack of 3 videos |
2x2 |
2 rows, 2 cols | 4 | Square grid, TL TR BL BR |
3x2 |
3 rows, 2 cols | 6 | Tall grid, 6 cells |
NxM |
N rows, M cols | N*M | Any arbitrary grid, auto-parsed |
Auto-detect template when -t is omitted:
- 2 videos ->
2x1 - 3 videos ->
3x1 - 4 videos ->
2x2 - 6 videos ->
3x2
For any other count, pass -t, for example -t 8x4 for 32 videos.
Workflow
- Find video paths from user arguments, globbing a directory when needed.
- Determine the template from the user request or by auto-detect.
- Auto-generate labels from filenames unless custom labels or
--no-labelsare requested. - Use
--loop-to-longestwhen the user wants the longest video to define the full episode and shorter videos to replay. - Use
--streamfor large grids or long videos so encoded frames are written incrementally instead of held in memory. - Run the permanent script directly:
python "<this skill directory>\merge_videos.py" <video_paths> -t <template> --labels <labels...> -o <output>
- Report output path, frame count, duration, resolution, and file size.
CLI Parameters
python merge_videos.py VIDEO [VIDEO ...] [-t TEMPLATE] [--labels LABEL [LABEL ...]]
[-o OUTPUT] [--gap N] [--fps N] [--font-size N] [--no-labels]
[--loop-to-longest] [--stream]
[--cell-width N] [--cell-height N]
What ships with it
1 file 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.
- 2mo ago First seen · 124 lines · 74 tokens per session scan A 43089a007ac5
merge is a skill published in the GitHub repository phanghonghao/THU-Awesome-Skills (8 stars, last pushed 3mo ago), licensed MIT. It adds 74 tokens to every session and 1,322 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
merge compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mergephanghonghao/THU-Awesome-Skills | Skill | 8 | 3mo ago | MIT | A | 74 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |