landscape-scan

landscape-scan is a skill for Claude Code from MoizIbnYousaf/marketing-cli. It costs 93 tokens per session (4,236 once invoked), scanned A, original, MIT.

A research workflow that builds a verified snapshot of a market or ecosystem using current web research and user checks. It also records claims that later content must not make.

In plain words
What is it for?
Researching competitors, audiences, positioning, and market changes before creating marketing content or strategy.
Why use it?
It helps prevent marketing plans from relying on outdated, unverified, or false assumptions about competitors and market trends.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./brand/landscape.md ok.

Part of the marketing-cli plugin — 88 skills, 9 commands, 1 hook, 2 MCP servers shipped together

Good fit Researching competitors, audiences, positioning, and market changes before creating marketing content or strategy.

Compare 6 skills from other repositories ↓
Install

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.

Clone the repo
git clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cli
agentmods
npx agentmods add skills/moizibnyousaf/marketing-cli/landscape-scan

Made for: Claude Code.

Or install marketing-cli, the plugin that ships this one along with the rest of its 88 skills, 9 commands, 1 hook, 2 MCP servers.

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 landscape-scan

README.md
[![agentmods](https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/landscape-scan/github.svg)](https://agentmods.dev/skills/moizibnyousaf/marketing-cli/landscape-scan)
Your own site
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/landscape-scan"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/landscape-scan/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 landscape-scan

Your own site · 80×15
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/landscape-scan"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/landscape-scan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,236 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 411
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00093 $0.04236
Opus 5 $0.00046 $0.02118
Sonnet 5 $0.00019 $0.00847
Haiku 4.5 $0.00009 $0.00424

Measured 9d ago against content hash 2d7603b336cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

landscape-scan 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.

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/landscape-scan/SKILL.md · 501 lines

How it starts

The opening of the file, as written. The whole thing — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/landscape-scan -- Ground-Truth Ecosystem Snapshot

Every claim your marketing makes sits on top of an assumption about the market. "We're the first to..." "Nobody else does..." "The market is moving toward..." When these assumptions are wrong, your positioning collapses on contact with reality. Customers who Google your claims and find them false don't come back.

This skill builds a verified ecosystem snapshot that becomes the single source of truth for all downstream content. The Claims Blacklist it produces hard-gates every content skill -- if a claim is blacklisted, no skill writes it. Period.

No SaaS tools needed. Live web research + user validation.


On Activation

  1. Check if brand/ directory exists in the project root.
  2. If it does, read available files in priority order:
    • competitors.md -- existing competitive intel (primary input)
    • positioning.md -- current positioning angles and claims
    • audience.md -- target market and buyer personas
    • voice-profile.md -- brand personality (for tone of output)
    • learnings.md -- past marketing learnings and corrections
  3. Apply loaded brand context to focus the landscape scan -- existing competitor data narrows the research query, positioning data identifies claims to verify.
  4. If brand/ does not exist or is empty, proceed without it -- this skill works standalone by asking the user foundational questions.

Iteration Detection

Before starting, check whether ./brand/landscape.md already exists.

If landscape.md EXISTS --> Refresh Mode

Do not start from scratch. Instead:

  1. Read the existing landscape file.
  2. Present a summary of the current state:
    EXISTING LANDSCAPE SNAPSHOT
    Last updated {date} by /landscape-scan
    
    Ecosystem segments: {N}
    Claims blacklisted: {N}
    Market shifts tracked: {N}
    
    Freshness: {days} days old (threshold: 14 days)
    
    ------------------------------------------
    
    What would you like to do?
    
    1. Full refresh -- re-run /last30days, revalidate everything
    2. Verify claims -- check if blacklisted claims are still invalid
    3. Add new segment -- expand to cover a new market area
    4. Rebuild from scratch -- discard and start over
    

Read the full file on GitHub · 501 lines

Files

What ships with it

2 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 · 501 lines · 93 tokens per session scan A 2d7603b336cc

Subscribe to this mod's changes

landscape-scan is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 22d ago), licensed MIT. It adds 93 tokens to every session and 4,236 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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