ip-cognition-script-polisher

ip-cognition-script-polisher is a skill for Codex from zkbys/whiteboard. It costs 104 tokens per session (882 once invoked), scanned A, original, MIT.

A script-writing guide for turning a topic, opinion, or rough draft into a 30–60 second voiceover package for a whiteboard infographic video. It keeps the author’s main position and creates six sections covering the hook, surprise, example, turn, method, and conclusion.

In plain words
What is it for?
Use it to create a polished voiceover, timed segments, spoken anchors, and visual intentions for videos about business, artificial intelligence, or personal-brand topics. It can also make a conservative thesis when the input is only a topic.
Why use it?
It gives short educational videos a clear argument, timing target, and links between spoken lines and planned visuals.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to create a polished voiceover, timed segments, spoken anchors, and visual intentions for videos about business, artificial intelligence, or personal-brand topics. It can also make a conservative thesis when the input is only a topic.

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Install with agentmods
npx agentmods add skills/zkbys/whiteboard/ip-cognition-script-polisher
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 zkbys/whiteboard --skill ip-cognition-script-polisher
Clone the repo
git clone --depth 1 https://github.com/zkbys/whiteboard

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 ip-cognition-script-polisher

README.md
[![agentmods](https://agentmods.dev/badge/skills/zkbys/whiteboard/ip-cognition-script-polisher/github.svg)](https://agentmods.dev/skills/zkbys/whiteboard/ip-cognition-script-polisher)
Your own site
<a href="https://agentmods.dev/skills/zkbys/whiteboard/ip-cognition-script-polisher"><img src="https://agentmods.dev/badge/skills/zkbys/whiteboard/ip-cognition-script-polisher/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 ip-cognition-script-polisher

Your own site · 80×15
<a href="https://agentmods.dev/skills/zkbys/whiteboard/ip-cognition-script-polisher"><img src="https://agentmods.dev/badge/skills/zkbys/whiteboard/ip-cognition-script-polisher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 882 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 $0.00104 $0.00882
Opus 5 $0.00052 $0.00441
Sonnet 5 $0.00021 $0.00176
Haiku 4.5 $0.00010 $0.00088

Measured 9d ago against content hash 6574c511531c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ip-cognition-script-polisher 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_script_package.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.

ip-cognition-script-polisher/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IP Cognition Script Polisher

Overview

Use this skill to turn a topic, rough opinion, or partial draft into a reviewable script package for IP incubation, business cognition, and AI cognition short videos. The output is not a final video; it is the upstream script contract for whiteboard infographic planning, voiceover timing, and later rendering.

Workflow

  1. Read the user's brief and extract the core stance, target audience, promised value, and any non-negotiable wording.
  2. Preserve the user's core viewpoint. Sharpen framing and rhythm, but do not reverse the stance or smuggle in a different conclusion.
  3. If the input is only a topic, infer a conservative thesis and make the inference explicit in polished_voiceover.md under Stance basis.
  4. Produce exactly six voiceover segments in this role order: hook, 反常识, 例子, 转折, 方法, 结论.
  5. Keep the total estimated voiceover length between 30 and 60 seconds. Default target is 45 seconds unless the user specifies otherwise.
  6. Add spokenAnchors and visualIntent to every segment. Use anchors that appear verbatim in the segment text or caption.
  7. Create only necessary visual beats. Do not turn every sentence into a board object; group the script into 3-6 strong visual ideas.
  8. Validate the package with the bundled script before handing it off.

Outputs

Write these files into the requested package directory, usually script/ inside a workflow project:

script/
├── polished_voiceover.md
├── voiceover_segments.json
└── visual_beats.json

voiceover_segments.json is the source of truth for narration. visual_beats.json is the source of truth for the next infographic-planning skill. polished_voiceover.md is the human review surface.

Segment Rules

  • hook: Start with a sharp, memorable tension. Avoid vague openings such as "今天聊聊".
  • 反常识: State the counterintuitive claim without overclaiming beyond the user's brief.
  • 例子: Use one concrete scene, comparison, or mini case. Prefer business/IP/AI operator details over generic life advice.
  • 转折: Reframe the issue and connect the example back to the core thesis.
  • 方法: Give a repeatable 2-4 step method, checklist, or decision rule.
  • 结论: End with a compact sentence that can become the final subtitle or board title.

Read the full file on GitHub · 79 lines

Files

What ships with it

8 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. 9d ago First seen · 79 lines · 104 tokens per session scan A 6574c511531c

Subscribe to this mod's changes

ip-cognition-script-polisher is a skill published in the GitHub repository zkbys/whiteboard (59 stars, last pushed 1mo ago), licensed MIT. It adds 104 tokens to every session and 882 once invoked, about $0.0005 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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