hyperframes-showreel

hyperframes-showreel is a skill for Claude Code, Codex from BlackBeltTechnology/pi-agent-dashboard. It costs 89 tokens per session (1,534 once invoked), scanned A, original, MIT.

A workflow for turning real screen recordings and site footage into a rhythmic showreel, a short edited presentation video. It samples footage, plans shots, applies redaction, adds limited visual effects, edits the music, and checks the final export.

In plain words
What is it for?
Use it to build a HyperFrames showreel from recordings, cut and redact clips, add screen-blended effects, sync visuals to music, and prepare the delivered video.
Why use it?
It keeps every shown process tied to footage that was actually recorded and prevents generated effects from replacing real shots. It also helps avoid exposing sensitive information in recordings.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build a HyperFrames showreel from recordings, cut and redact clips, add screen-blended effects, sync visuals to music, and prepare the delivered video.

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Install with agentmods
npx agentmods add skills/blackbelttechnology/pi-agent-dashboard/hyperframes-showreel
Install

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.

Any agent
npx skills add BlackBeltTechnology/pi-agent-dashboard --skill hyperframes-showreel
Clone the repo
git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for hyperframes-showreel

README.md
[![agentmods](https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/hyperframes-showreel/github.svg)](https://agentmods.dev/skills/blackbelttechnology/pi-agent-dashboard/hyperframes-showreel)
Your own site
<a href="https://agentmods.dev/skills/blackbelttechnology/pi-agent-dashboard/hyperframes-showreel"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/hyperframes-showreel/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.

agentmods 80×15 button for hyperframes-showreel

Your own site · 80×15
<a href="https://agentmods.dev/skills/blackbelttechnology/pi-agent-dashboard/hyperframes-showreel"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/hyperframes-showreel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,534 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.01534
Opus 5.5 $0.00036 $0.00614
Sonnet 5.5 $0.00018 $0.00307
Haiku 4.5 $0.00009 $0.00153

Measured 19d ago against content hash 5be98675c4d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hyperframes-showreel 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 19d 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.

packages/video-production/.pi/skills/hyperframes-showreel/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

hyperframes-showreel

End-to-end pipeline from real footage to a delivered HyperFrames showreel. HyperFrames is used only through its public CLI (npx hyperframes …); none of its skills or code is vendored here. Last verified with HyperFrames 0.8.72 (2026-09-24) — a data point, not a pin.

Ground rules

  • Footage-only rule — every process shown on screen comes from real footage. No AI insert may depict a process that has no footage; if there is no recording of it, the beat is cut from the script.
  • Screen-blend FX rule — Veo output is used only as an additive FX layer: rendered on a black background and composited with mix-blend-mode: screen over the footage (light, particles, flares, scan lines). It never replaces a shot.

Pipeline

  1. Footage sampling — contact sheets of every source (ffmpeg -i src.mov -vf "fps=1/2,scale=480:-2,tile=6x6" sheet_%02d.png); note sensitive regions and usable moments with timecodes.
  2. Edit script — acts, shots, source timecodes, on-screen copy, FX layer map. Every shot names its source clip and in/out.
  3. Clip cutting with redaction baked in — one call per clip via the footage-redaction skill (crop / delogo / timed blur in source-frame coordinates), then contact-sheet verification of every clip.
  4. Generated composition, pass 1 — a generator script turns the shot table into index.html + one scene sub-composition per act, with provisional scene durations and a temp track or none. See references/generator-pattern.md.
  5. Optional Veo FX layers — black-background renders (e.g. veo-showreel-production-kit + veo-generator), screen-blended per the rule above.
  6. npx hyperframes check and snapshots — check must report 0 errors; npx hyperframes snapshot --at <t1>,<t2>,… at scene midpoints to verify framing.
  7. Preview and user review — npx hyperframes preview; the user approves the picture before music is fitted.
  8. Music, punches, generation pass 2 — cut the music with music-edit-to-length (listen-before-lock), pick hits with beat-sync-video, then regenerate the composition: re-run the generator with scene starts from _edit.json (downbeats_video, a boundary on each drop), punches from _hits.json, and root duration = the edit's duration.
  9. Delivery render — npx hyperframes render . -o ../export/showreel_v1.mp4 --fps 30 --quality delivery --video-frame-format png.
  10. Export QA — the gate below; a render is not "done" until it passes.
  11. Upload — copy the export (and its subtitles) to the agreed share; record the location next to the file.

Read the full file on GitHub · 82 lines

Files

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.

Changes

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.

  1. 19d ago First seen · 82 lines · 89 tokens per session scan A 5be98675c4d8

Subscribe to this mod's changes

hyperframes-showreel is a skill published in the GitHub repository BlackBeltTechnology/pi-agent-dashboard (319 stars, last pushed yesterday), licensed MIT. It adds 89 tokens to every session and 1,534 once invoked, about $0.0004 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 2026-09-27.