hyperframes-quality

hyperframes-quality is a skill for Codex from manishiitg/coding-agent-loop. It costs 87 tokens per session (637 once invoked), scanned A, original, MIT.

A review and approval workflow for editable HyperFrames compositions and their rendered videos.

In plain words
What is it for?
Use it after building, changing, troubleshooting, or rendering a HyperFrames project before delivery.
Why use it?
It helps catch problems in layout, contrast, timing, transitions, animation, and differences between the project and its rendered frames.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it after building, changing, troubleshooting, or rendering a HyperFrames project before delivery.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/manishiitg/coding-agent-loop/hyperframes-quality
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 manishiitg/coding-agent-loop --skill hyperframes-quality
Clone the repo
git clone --depth 1 https://github.com/manishiitg/coding-agent-loop

Made for: 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-quality

README.md
[![agentmods](https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/hyperframes-quality/github.svg)](https://agentmods.dev/skills/manishiitg/coding-agent-loop/hyperframes-quality)
Your own site
<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/hyperframes-quality"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/hyperframes-quality/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-quality

Your own site · 80×15
<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/hyperframes-quality"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/hyperframes-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 637 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 $0.00087 $0.00637
Opus 5.5 $0.00035 $0.00255
Sonnet 5.5 $0.00017 $0.00127
Haiku 4.5 $0.00009 $0.00064

Measured 1mo ago against content hash 058bf3b87d18, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hyperframes-quality 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 1mo 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.

agent_go/internal/videoproduct/skills/hyperframes-quality/SKILL.md · 31 lines

How it starts

The opening of the file, as written. The whole thing — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HyperFrames quality gate

Review the exact source project and exact candidate render. Do not treat a successful render command as quality evidence. Read hyperframes-cli first; then read hyperframes-core, hyperframes-creative, hyperframes-animation, or hyperframes-keyframes only when their area is in scope.

Run the gate

  1. Validate the source. Run hyperframes check. Resolve structural, deterministic-timeline, layout, and contrast findings before continuing. Use hyperframes inspect --json for dense compositions or targeted timestamps; inspect every major text/data moment, scene transition, and the ending.
  2. Review rendered evidence. Render a draft when no candidate render exists. Extract a contact sheet and representative frames from that rendered MP4, including opening, scene midpoints, dense text/data moments, transitions, and ending. For multi-composition projects, prefer rendered-MP4 frame extraction over snapshot-only evidence; it is the delivery truth.
  3. Critique craft. Compare the evidence with BRIEF.md, STORYBOARD.md, SCRIPT.md, and frame.md when present. Check:
    • message clarity by scene two and evidence/claim fidelity;
    • safe areas, typography, contrast, hierarchy, and readable playback-speed copy;
    • transitions, pacing, continuity, and whether motion explains rather than decorates;
    • seek-safe timing, no stale frames, clipping, blank states, or unintended repeated/frozen frames;
    • design-system adherence and an intentional opening and ending.
  4. Repair, then re-check. Fix the editable HyperFrames source, repeat only the affected checks, render again, and re-inspect. Use no more than two repair passes in a workflow gate. If a material issue cannot be proven fixed, return revise or blocked; never pass it onward.

Record a decision

Write a concise scorecard alongside the stage report. Include schema_version: 1, the exact source/archive and candidate path, inspected timestamps, checks with evidence, repair passes, final verdict (pass, revise, or blocked), and a concrete recommended action. A pass requires evidence for every applicable composition check.

Read the full file on GitHub · 31 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. 1mo ago First seen · 31 lines · 87 tokens per session scan A 058bf3b87d18

Subscribe to this mod's changes

hyperframes-quality is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It adds 87 tokens to every session and 637 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 2026-08-30.

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