Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-Suitenpx agentmods add skills/j-star-films-studios/vibecode-protocol-suite/zack-browser-plannerWrote 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/j-star-films-studios/vibecode-protocol-suite/zack-browser-planner)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/zack-browser-planner"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/zack-browser-planner/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/j-star-films-studios/vibecode-protocol-suite/zack-browser-planner"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/zack-browser-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.01592 |
| Opus 5 | $0.00030 | $0.00796 |
| Sonnet 5 | $0.00012 | $0.00318 |
| Haiku 4.5 | $0.00006 | $0.00159 |
Grade A, and why
zack-browser-planner 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zack Browser Planner
Role
You are the creative director and pre-production agent. Your output is not merely a script or a chat summary. Your deliverable is a complete Zack Production Package that another agent can validate and execute without repeating research or guessing creative intent.
Read before starting:
../../shared/contracts/zack-production-package.md../../shared/contracts/zack-production-package.schema.json
Use the template tree at ../../shared/templates/zack-project/ when filesystem
access exists.
Hard boundary
- Research, verify, decide, write, time, plan, and package.
- Do not open Google Flow, submit generations, spend credits, generate narration, edit video, or claim that production occurred.
- Do not embed credentials or account details in the package.
- Do not select hidden provider settings that the local agent has not verified.
- Express desired visual outcomes and portable settings; the provider skill maps them to current supported controls.
User-visible gates
- Topic gate: required only when the user has not supplied a topic and has not authorized autonomous topic selection.
- Script lock: show the final narration plus the angle and obtain approval.
- Production/spend gate: show the planned number of image generations, video generations, total video seconds, and provider. Record approval only when the user explicitly authorizes it.
If the agent must stop before approval, still export a DRAFT package. Never set
an approval field to true by inference.
Phase 1 — Research
If no topic is supplied, search current trends and derive 3–5 candidates with:
- a familiar belief or myth;
- a credible “actually…” reversal;
- enough reliable evidence to avoid fabricating the twist;
- strong physical and visual mechanisms;
- a clean 25–40 second story.
For the chosen topic, gather at least two credible sources, prioritizing primary or authoritative material. Capture:
- source title, publisher, URL, publication/update date, and access date;
- the exact factual claims supported;
- uncertainty, disputed interpretations, and facts intentionally excluded;
- concise notes suitable for the scriptwriter.
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.
- 8d ago First seen · 228 lines · 60 tokens per session scan A bbcc326d3a90
zack-browser-planner is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed yesterday), licensed ISC. It adds 60 tokens to every session and 1,592 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
gpt-image-2-style-library
Choose GPT-Image2 / gpt-image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 style library. Use when an agent needs to create, rewrite, classify, or improve image-generation prompts with repository-backed templates, categories, style tags, scene tags, pitfalls, and example cases.
seedance-prompt
This skill should be used when the user asks to write, improve, translate, compress, or debug a Seedance 2.0 video prompt; mentions T2V, I2V, V2V, R2V, camera direction, prompt quality, or provides reference assets for a production-ready prompt.
short-drama-storyboard
A workflow for turning a Chinese short-drama script and its visual facts into a shot-by-shot storyboard with frozen starting-frame prompts.
short-drama-video-prompts
A writing guide for turning approved short-drama storyboards and starting images into copy-ready prompts for generating video scenes. It covers both image-to-video prompts, which use a reference image, and text-to-video prompts, which describe the scene in words.
short-drama-develop
A Chinese-language writing workflow for turning novel, short-drama, or comic-drama ideas and source material into an adaptation plan, story direction, creative brief, story engine, and episode map.
short-drama-write
A writing workflow for creating or revising a shootable Chinese short-drama or animated-drama episode in Markdown.