new-client

new-client is a command for Claude Code from prashishh/seo-geo-report-engine. It costs 27 tokens per session (910 once invoked), scanned A, original, MIT.

A command that creates the folder structure and starter files for a new client project, then asks for the client details needed by later work. A project stores inputs, research, deliverables, and data separately.

In plain words
What is it for?
Use it to initialise a kebab-case client project, create its configuration and instructions, and collect the domain, competitors, market, keywords, and related details.
Why use it?
It removes repetitive setup and reduces the chance of starting a client project without essential profile information.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; positional $N argument.

Part of the seo-geo-report-engine plugin — 33 skills, 8 commands, 5 agents shipped together

Good fit Use it to initialise a kebab-case client project, create its configuration and instructions, and collect the domain, competitors, market, keywords, and related details.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/prashishh/seo-geo-report-engine/new-client
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.

Clone the repo
git clone --depth 1 https://github.com/prashishh/seo-geo-report-engine

Made for: Claude Code.

Or install seo-geo-report-engine, the plugin that ships this one along with the rest of its 33 skills, 8 commands, 5 agents.

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 new-client

README.md
[![agentmods](https://agentmods.dev/badge/commands/prashishh/seo-geo-report-engine/new-client/github.svg)](https://agentmods.dev/commands/prashishh/seo-geo-report-engine/new-client)
Your own site
<a href="https://agentmods.dev/commands/prashishh/seo-geo-report-engine/new-client"><img src="https://agentmods.dev/badge/commands/prashishh/seo-geo-report-engine/new-client/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 new-client

Your own site · 80×15
<a href="https://agentmods.dev/commands/prashishh/seo-geo-report-engine/new-client"><img src="https://agentmods.dev/badge/commands/prashishh/seo-geo-report-engine/new-client.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 910 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.
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 $0.00027 $0.00910
Opus 5 $0.00014 $0.00455
Sonnet 5 $0.00005 $0.00182
Haiku 4.5 $0.00003 $0.00091

Measured 9d ago against content hash 8b5685acb0a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

new-client 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.

commands/new-client.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/new-client

Stand up a new client project at projects/$1/. The slug ($1) is kebab-case and becomes the output filename prefix everywhere. A project is pure data — it inherits every capability from this parent framework (see the root CLAUDE.md). This command does the scaffold, then interviews the user for the profile that the skills downstream depend on.

Steps

  1. Guard. If projects/$1/ already exists, stop and tell the user (offer to open client.yml instead). Slug must be kebab-case — lowercase, hyphens, no spaces.

  2. Scaffold the folders.

    mkdir -p projects/$1/{inputs,research,deliverables,data}
    
    • inputs/ — briefs, exports, source material the client gave us.
    • research/ — keyword / competitor / GEO / audit outputs we generate.
    • deliverables/ — proposals, reports, comparison pages (the handover).
    • data/ — snapshots, rank history, csv (data/raw/ is gitignored).
  3. Copy the templates (don't author from scratch — copy then edit):

    cp templates/client.yml.example projects/$1/client.yml
    cp templates/project/CLAUDE.md   projects/$1/CLAUDE.md
    
  4. Interview the user for the essentials. Ask in one batched message; let them answer what they know and leave the rest blank. Capture:

    • Name + domain (apex, e.g. acme.com).
    • Industry (one line) and market (primary geo) + languages.
    • Positioning — 2–3 lines: what they sell, to whom, the wedge.
    • ICP — the ideal customer profiles / segments.
    • Competitors — name + domain for each (used by competitor + comparison skills).
    • Target keywords — seed terms for keyword / rank / programmatic work.
    • Brand colorsprimary and accent hex (for proposal/report decks).
    • Ahrefs idsproject_id (Rank Tracker / Site Audit) and brand_radar_report_id (GEO). If the user doesn't have them, offer to list with management-projects and management-brand-radar-reports (Ahrefs MCP) and match by domain, then paste the ids in.
    • Owned analytics (optional) — GA4 property id, GSC site (sc-domain:… or URL).

Read the full file on GitHub · 65 lines

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 · 65 lines · 27 tokens per session scan A 8b5685acb0a9

Subscribe to this mod's changes

new-client is a command published in the GitHub repository prashishh/seo-geo-report-engine (5 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 910 once invoked, about $0.0001 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 2026-08-31.

Related

Other commands, from other repositories

seo-geo

SEO/GEO end-to-end along the SITE loop: survey demand and competitors, implement content, tune quality/tech/on-page, and evaluate authority/rankings/reports/memory (--phase survey|implement|tune|evaluate). Not sure? Use /aaron-marketing:auto.

aaron-he-zhu/aaron-marketing-skills · 58 tokens

ad

Run a paid-ads (ROAS) workflow: audience segments, account structure, ad creative, experiment design, pre-launch signal QA + the account-audit gate, measurement, and attribution. Not sure? Use /aaron-marketing:auto.

aaron-he-zhu/aaron-marketing-skills · 50 tokens

email

Run an email-marketing (SEND) workflow: deliverability/consent setup, segmentation, email creative, lifecycle flows, newsletter monetization, send-testing, and the email-quality audit gate. Not sure? Use /aaron-marketing:auto.

aaron-he-zhu/aaron-marketing-skills · 50 tokens

influencer

Run an influencer-marketing (STAR) workflow: audience & creator scouting, campaign targeting, briefs, outreach, amplification, and ROI reporting. Not sure? Use /aaron-marketing:auto.

aaron-he-zhu/aaron-marketing-skills · 39 tokens

launch

Run a product-launch (RAMP) workflow: positioning and launch tiering, window/early-access design, message house and asset kits, the launch-readiness gate with a T-1 go/no-go, launch-day execution, and the post-launch prove loop. Not sure? Use /aaron-marketing:auto.

aaron-he-zhu/aaron-marketing-skills · 64 tokens

narrative

Run a brand-narrative & messaging (TALE) workflow: trace the current message and positioning truth, architect the durable message house/voice/story canon, land it consistently across every surface, and evaluate resonance with tests and drift monitoring. Not sure? Use /aaron-marketing:auto.

aaron-he-zhu/aaron-marketing-skills · 59 tokens