render-proof-points-overlay

render-proof-points-overlay is a skill for Claude Code, Codex from gooseworks-ai/goose-skills. It costs 135 tokens per session (809 once invoked), scanned A, original, MIT.

A free renderer that adds crisp text-and-icon overlays to a vertical user-generated-content video ad and combines it with music. The overlays include a score, a supporting statement, and three or four proof points with check marks.

In plain words
What is it for?
Use it to add a diagonal sequence of review-style score and proof messages to a base video, then produce a finished vertical MP4. It can also create a silent design preview.
Why use it?
It keeps scores, claims, checks, and brand text readable instead of relying on a video model that may blur or distort words. It also handles the final combination of overlays, video, and music.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to add a diagonal sequence of review-style score and proof messages to a base video, then produce a finished vertical MP4. It can also create a silent design preview.

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Install with agentmods
npx agentmods add skills/gooseworks-ai/goose-skills/render-proof-points-overlay
About the project

Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.

gooseworks-ai/goose-skills · 1,201 stars · on GitHub · gooseworks.ai

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 gooseworks-ai/goose-skills --skill render-proof-points-overlay
Clone the repo
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills

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 render-proof-points-overlay

README.md
[![agentmods](https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-proof-points-overlay/github.svg)](https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-proof-points-overlay)
Your own site
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-proof-points-overlay"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-proof-points-overlay/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 render-proof-points-overlay

Your own site · 80×15
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-proof-points-overlay"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-proof-points-overlay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 135 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 809 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00135 $0.00809
Opus 5 $0.00068 $0.00404
Sonnet 5 $0.00027 $0.00162
Haiku 4.5 $0.00014 $0.00081

Measured 12d ago against content hash 2456ae394947, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

render-proof-points-overlay 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 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/build_overlays.py, scripts/compose_master.py, scripts/fetch_icons.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/ads/capabilities/render-proof-points-overlay/SKILL.md · 25 lines

How it starts

The opening of the file, as written. The whole thing — 25 lines — stays where its author put it; the contents beside it link to each section on GitHub.

render-proof-points-overlay

Build the deterministic PIL/FFmpeg overlays for the "Instagram comparison-tool reviewer" UGC ad — a white "we got a perfect 10/10 score" headline pill (trailing medal), an orange "but here's also why you'll love us" sub pill (trailing finger-down, width-matched to the header), and 3-4 green-check proof pills — then composite them onto a base clip in the format's signature diagonal cascade and mux the music into the master. FREE and deterministic: the pills are PIL-rendered so the score, checks, and wordmark stay pixel-crisp (a video model would smear type). The base clip (create-image-fal keyframe -> create-video-fal i2v) and the music bed (create-music-elevenlabs) come from separate paid capabilities; this one only does the free rendering.

Run

fetch_icons.py --run-dir ; build_overlays.py --config config.json --out-dir /generated/overlays ; compose_master.py --config config.json --run-dir — reads /generated/clip-handheld.mp4 + generated/music-bed.m4a, writes /master-final.mp4. 1080x1920, deterministic, $0. (Add --no-music to compose for a silent design preview.)

Scripts

  • fetch_icons.py — downloads the three Twemoji PNGs (medal 1f3c5, finger-down 1f447, check 2705) to <run>/assets/icons. PIL cannot render Apple Color Emoji, so pills paste Twemoji PNGs. Free, local.
  • build_overlays.py — PIL: renders the white score header (trailing medal), the orange subhead (trailing finger-down, width-matched to the header), and N green-check proof pills auto-sized to their copy. Bold weight and icon-centered-on-pill-middle are load-bearing.
  • compose_master.py — FFmpeg: scale/crop the base clip to 1080x1920@30, composite the always-on headers, cascade the proof pills (each enable='gte(t,T)' on its own alternating LEFT/RIGHT row), mux the music, apply the anti-AI grain pass, re-encode crf23/maxrate12M -> master-final.mp4.

Contract

  • Deterministic + FREE (PIL + FFmpeg); no paid calls, no AI-rendered text — the score, checks, and wordmark are composited, never generated.
  • Config-driven off one config.json (overlays, layout, duration_sec, optional music/post_production); the template recipe supplies the config from recipe.config.
  • Always re-run build_overlays.py before compose_master.py — the compositor reads pre-rendered PNGs and silently reuses stale ones on a copy change.
  • Headers stay on 0-duration and must not cover the bottle face; proof pills cascade one-per-beat down the diagonal (NOT four-corners) — the cascade is the format's signature.
  • Requires Pillow + ffmpeg. No API keys.

Read the full file on GitHub · 25 lines

Files

What ships with it

5 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.

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. 12d ago First seen · 25 lines · 135 tokens per session scan A 2456ae394947

Subscribe to this mod's changes

render-proof-points-overlay is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,201 stars, last pushed 10d ago), licensed MIT. It adds 135 tokens to every session and 809 once invoked, about $0.0007 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 2026-08-30.

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