What is rendering-videos?

A guide for turning captured website assets and narration into a narrated MP4 video. It uses a journey description and a capture manifest, which records the assets collected from the experience, to create the video and subtitle file.

Use it after capture has succeeded to render a feature walkthrough video and its SRT subtitle file.

It removes the need to set video timings by hand because the timeline follows the measured narration audio. It also defines where temporary files and final deliverables belong.

rendering-videos — Skill for Claude Code by bnayahu

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 bnayahu/journeycast --skill rendering-videos

Clone the repo

git clone --depth 1 https://github.com/bnayahu/journeycast

Made for: Claude Code.

Or install journeycast, the plugin that ships this one along with the rest of its 3 skills, 1 command.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/bnayahu/journeycast/rendering-videos/github.svg)](https://agentmods.dev/skills/bnayahu/journeycast/rendering-videos)

Your own site

<a href="https://agentmods.dev/skills/bnayahu/journeycast/rendering-videos"><img src="https://agentmods.dev/badge/skills/bnayahu/journeycast/rendering-videos/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/bnayahu/journeycast/rendering-videos"><img src="https://agentmods.dev/badge/skills/bnayahu/journeycast/rendering-videos.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 524 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.

Model	Per session	Once invoked
Fable 5.1	$0.00042	$0.00524
Opus 5	$0.00021	$0.00262
Sonnet 5	$0.00008	$0.00105
Haiku 4.5	$0.00004	$0.00052

Measured 10d ago against content hash 8135cf57172b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

rendering-videos 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 10d 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.

skills/rendering-videos/SKILL.md · 27 lines

What it actually says

Rendering videos

Turn the captured assets into a narrated MP4. All timing derives from measured narration audio — you do not set durations.

Paths follow the Output location convention from deriving-journeys: $OUTDIR = <target-repo>/docs/journeycast/pr-<pr>/ (committed deliverables) and $WORKDIR = out/pr-<pr>/ in the journeycast clone (gitignored scratch). Render into scratch, then place the final MP4 + SRT in the target repo.

Steps

Locate the manifest. Confirm $WORKDIR/capture/capture-manifest.json exists (from the capturing-journeys step). If it is missing, tell the user to run capture first and stop.
Render. Run node engine/render.mjs --journey "$OUTDIR/journey.yaml" --manifest "$WORKDIR/capture/capture-manifest.json" --out "$WORKDIR". This synthesizes narration, derives the timeline from measured audio, renders the Remotion timeline (captions are drawn in-frame with focus-aware placement), and composes the audio track. Intermediate files land in $WORKDIR/.work.
Publish deliverables. Copy the finished $WORKDIR/<feature>.mp4 and $WORKDIR/<feature>.srt into $OUTDIR. <feature> is meta.feature from the journey. Do not copy $WORKDIR/.work or the capture screenshots — only the movie and captions belong in the repo.
Note the narration provider. If stderr contains warning: no TTS provider available, tell the user the video rendered with a silent track and how to enable audio: set JOURNEYCAST_TTS_API_KEY (neural) or JOURNEYCAST_PIPER_MODEL (offline Piper), then re-render.
Report the result. On success, report the published MP4 path ($OUTDIR/<feature>.mp4) and duration, and note the sibling $OUTDIR/<feature>.srt captions file.

Output

<target-repo>/docs/journeycast/pr-<pr>/<feature>.mp4 and <feature>.srt (alongside the journey.yaml).

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.

10d ago First seen · 27 lines · 42 tokens per session scan A 8135cf57172b

Subscribe to this mod's changes

rendering-videos is a skill published in the GitHub repository bnayahu/journeycast (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 524 once invoked, about $0.0002 per session on Opus 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.

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