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 EthanYoQ/Skill-hub --skill general-videogit clone --depth 1 https://github.com/EthanYoQ/Skill-hubWrote 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/ethanyoq/skill-hub/general-video)<a href="https://agentmods.dev/skills/ethanyoq/skill-hub/general-video"><img src="https://agentmods.dev/badge/skills/ethanyoq/skill-hub/general-video/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/ethanyoq/skill-hub/general-video"><img src="https://agentmods.dev/badge/skills/ethanyoq/skill-hub/general-video.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 | $0.00092 | $0.03737 |
| Opus 5 | $0.00046 | $0.01869 |
| Sonnet 5 | $0.00018 | $0.00747 |
| Haiku 4.5 | $0.00009 | $0.00374 |
Grade A, and why
general-video 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 5d 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.
This is a copy
100% identical to general-video — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
General video
Before relying on this workflow, run:
npx hyperframes skills update general-video
A successful no-op means the skill is current. Surface an update failure instead of continuing from memory.
1. Apply cross-cutting source adapters
- Media: For any audio, image, icon, logo, voice, grade, LUT, treatment/effect, caption, or media-operation need, load
/media-useand follow../media-use/references/resolve.md(resolve, adopt, reuse) and../media-use/references/setup-providers.md(providers, auth). Vague footage feedback and named styles use../media-use/references/media-treatments.mdbefore editing; do not improvise supported media effects with CSS/SVG/opacity. Before the first authenticated provider action, runnpx hyperframes auth statusand relay its output verbatim. If signed out, apply the gate in../hyperframes-core/references/brief-contract.md: collaborative waits for sign-in or an explicit offline choice; autonomous states the status and continues through an available offline provider. Surface a blocker when no offline provider can satisfy a required capability. Local adoption alone does not require an auth gate. - Figma: If any input is a
figma.comURL, run/figmafirst. Build from its exported assets, tokens, components, or storyboard frames. Do not use raw Figma connector calls because they skip SVG sanitization, media provenance, and brand-token binding.
These adapters do not change the workflow selected by /hyperframes.
2. Start from project state
Apply the first matching row; do not evaluate lower state rows:
| State | Action |
|---|---|
| Specific edit | Make the edit, preserve existing project decisions, then rerun affected checks. Do not reopen discovery. |
BRIEF.md exists |
Read it. If workflow names another workflow and flow is not companion, hand off. Ask no brief questions. |
No brief, but hyperframes.json or STORYBOARD.md exists |
Resume from files and recorded preferences. Backfill BRIEF.md only from known facts. |
| Fresh creation | Run /hyperframes and its intent layer. Return here only for workflow: general-video or flow: companion. |
What ships with it
3 files 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.
- 5d ago First seen · 166 lines · 92 tokens per session scan A 23ac61f3fd8d
general-video is a skill published in the GitHub repository EthanYoQ/Skill-hub (9 stars, last pushed 5d ago), licensed MIT. It adds 92 tokens to every session and 3,737 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to general-video, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
superplan-entry
Use when a new request might involve repo work, tracked changes, workspace-specific decisions, or durable coordination and you must decide whether Superplan should engage before exploring or implementing.
superplan-shape
Use when Superplan has decided to engage and the work still needs plans, specs, proof paths, or multiple tracked tasks shaped before bounded execution can start.
superplan-execute
Use when tracked work is already shaped and the next move is to execute, verify, block, or request feedback without replanning from scratch.
superplan-brainstorm
Use when routed repo work still has meaningful ambiguity about behavior, constraints, taste, or acceptance intent, and that ambiguity would make planning or execution unsafe.
superplan-review
Use when a tracked task appears done and you need to decide whether its acceptance criteria are truly satisfied by fresh evidence.
superplan-route
Use when Superplan may engage and you need to decide whether to stay lightweight, create one tracked task, gather context first, or shape deeper structure before execution begins.