build-ai-visibility-panel

build-ai-visibility-panel is a skill for Claude Code, Codex from elvisun/newsjack. It costs 117 tokens per session (2,595 once invoked), scanned A, original, MIT.

A research workflow for building a broad, evidence-based set of questions about how AI answer systems may describe and recommend a company, product, or service.

In plain words
What is it for?
Use it to research buyer questions and organize prompts by jobs, stages, roles, locations, languages, AI surfaces, and measurement needs.
Why use it?
It turns a website and plain-language description into a structured research panel without inventing unsupported customer needs, competitors, or market claims.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to research buyer questions and organize prompts by jobs, stages, roles, locations, languages, AI surfaces, and measurement needs.

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Install with agentmods
npx agentmods add skills/elvisun/newsjack/build-ai-visibility-panel
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 elvisun/newsjack --skill build-ai-visibility-panel
Clone the repo
git clone --depth 1 https://github.com/elvisun/newsjack

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 build-ai-visibility-panel

README.md
[![agentmods](https://agentmods.dev/badge/skills/elvisun/newsjack/build-ai-visibility-panel/github.svg)](https://agentmods.dev/skills/elvisun/newsjack/build-ai-visibility-panel)
Your own site
<a href="https://agentmods.dev/skills/elvisun/newsjack/build-ai-visibility-panel"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/build-ai-visibility-panel/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 build-ai-visibility-panel

Your own site · 80×15
<a href="https://agentmods.dev/skills/elvisun/newsjack/build-ai-visibility-panel"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/build-ai-visibility-panel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,595 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 $0.00117 $0.02595
Opus 5 $0.00059 $0.01298
Sonnet 5 $0.00023 $0.00519
Haiku 4.5 $0.00012 $0.00260

Measured 12d ago against content hash 7acf6249b99a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

build-ai-visibility-panel 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.

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/build-ai-visibility-panel/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build AI Visibility Panel

You are the orchestration molecule. Given a URL and description, research the market, recover buyer needs and language, and return a comprehensive prompt list plus resumable panel artifacts.

“Comprehensive” means every evidence-supported dimension is covered and every unsupported dimension is shown as a gap. It does not mean inventing a full Cartesian grid or claiming the panel represents all AI users.

This skill inherits the ethical floor from skills/ETHICS.md. It enforces anti-hallucination, source permission, contamination control, and decay-aware research. Anti-spray and human-send are not applicable because it produces research and measurement plans, not outreach.

Required starting input

Accept:

  • one public URL;
  • a plain-language description of the company/product/service.

Use optional user inputs when supplied: business decision, estimands, target population, exclusions, markets/locales, competitors, surfaces, lanes, run/review budget, customer evidence, campaign terms, prior panel, and approver.

Do not block when only URL and description are supplied. Build a provisional directional charter, research public evidence, complete the full workflow, and return a candidate panel with explicit assumptions and approval gaps. Do not mark it frozen or representative.

Read the contracts

Before producing artifacts, read references/artifact-contracts.md. Use its exact enum names, filenames, common envelope, source manifest, prompt table columns, and completion checklist.

Measurement charter

Define before generating:

  • business decision;
  • estimand(s) and exact numerator/denominator;
  • target population and exclusions;
  • products, markets, locales, and time horizon;
  • surfaces and lanes;
  • reporting strata;
  • run/review budget;
  • desired precision or directional_only;
  • human approver.

Allowed estimands are unaided_brand_presence, aided_brand_knowledge, competitive_mention_share, citation_presence, answer_framing, and campaign_response.

Read the full file on GitHub · 188 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. 12d ago First seen · 188 lines · 117 tokens per session scan A 7acf6249b99a

Subscribe to this mod's changes

build-ai-visibility-panel is a skill published in the GitHub repository elvisun/newsjack (666 stars, last pushed 9d ago), licensed MIT. It adds 117 tokens to every session and 2,595 once invoked, about $0.0006 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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