AutoClip is an AI video-processing system that downloads videos, finds notable moments, cuts them into clips, and groups the results into collections. It is for people who want to turn YouTube, Bilibili, or uploaded videos into highlight content, and its catalogue add-ons extend the system's workflows.
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 zhouxiaoka/autoclip --skill product-boardgit clone --depth 1 https://github.com/zhouxiaoka/autoclipWrote 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/zhouxiaoka/autoclip/product-board)<a href="https://agentmods.dev/skills/zhouxiaoka/autoclip/product-board"><img src="https://agentmods.dev/badge/skills/zhouxiaoka/autoclip/product-board/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/zhouxiaoka/autoclip/product-board"><img src="https://agentmods.dev/badge/skills/zhouxiaoka/autoclip/product-board.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 | $0.00068 | $0.00482 |
| Opus 5.5 | $0.00027 | $0.00193 |
| Sonnet 5.5 | $0.00014 | $0.00096 |
| Haiku 4.5 | $0.00007 | $0.00048 |
Grade A, and why
product-board 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 24d 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.
What it actually says
AutoClip 产品看板
规则的正文在 docs/COMMUNITY_BOARD.md。商业化阶段仍以 ROADMAP.md 为准，当前工程状态以 HANDOFF.md 为准。
先读再动
- 跑
python3 scripts/feature_signals.py --days 30 --json。 - 用语义把讨论收成几条需求。脚本里的用词重叠只是提示。
- 对照已有
status:*Issue，标出重复。 - 给出排序和「建议停在哪一列」。不要在这一步创建 Issue。
什么时候可以写 GitHub
只有人明确说「放进某一列」或「开成 Issue」才写。
- 可以建议 Exploring 或 Researching。
- Planned、Building、Testing、Shipped 必须使用人说出的那一列，不能自己升级。
- 合并 PR 不算 Shipped。发版说明里写了才把卡移到 Shipped。
晋升时按 docs/community/issue-body.md 写正文，打 feature 和对应 status:*，加入名为 AutoClip Roadmap 的 Project，并回原讨论帖。
不要做的事
- 不要把 Q&A 和能复现的 bug 混进路线图。bug 用现有 bug 模板。
- 不要为了看板去部署 Quackback、Featurebase 或 Linear。触发条件写在
docs/COMMUNITY_BOARD.md。 - 不要编造票数。没有反应数时就说没有。
- 应用内反馈会由
scripts/ingest_app_feedback.py写进 Issue（故障）或 Discussions（想法 / 其他）。这些帖子是收件箱，带反馈编号；不要把from-app推进到 Planned。不要把用户指回飞书表格。
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.
- 24d ago First seen · 36 lines · 68 tokens per session scan A 1907d782f1a0
product-board is a skill published in the GitHub repository zhouxiaoka/autoclip (9,467 stars, last pushed today), licensed MIT. It adds 68 tokens to every session and 482 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 2026-09-23.
Other skills, from other repositories
status-report
Use when the user asks for a weekly / monthly status report, project update, individual or team progress summary. Produces a tight, scannable update with what shipped, what's in flight, what's blocked, and metrics.
decision-questionnaire
Turn a decision the Commander cannot answer alone into a focused questionnaire document for the person who holds the missing knowledge, to fill in async or together in a meeting.
acid-blue-business
A visual presentation style for modern business topics, using electric blue with black, white, and grey, directional layouts, and clear spacing. It is intended for business content rather than traditional data dashboards.
document-to-action-items
Extract cited facts, obligations, deadlines and proposed tasks from contracts, reports, forms and scans, keeping page citations, how binding each item is (may/should/must) and unclear scan text visible.
issue-triage
Sort a backlog of issues and pull requests: label each by type and severity, link duplicates, try the bug reports, ask for the one missing detail, and turn the accepted ones into ready-to-work briefs.
meeting-action-items
Turn meeting notes or a transcript into cited decisions, owned action items and a follow-up draft held for approval, reconciled against the Commander's existing tasks before anything is created.