agency-client

agency-client is a skill for Claude Code, Codex from zubair-trabzada/ai-agency-claude. It costs 20 tokens per session (3,203 once invoked), scanned A, original, MIT.

A client-history lookup workflow that searches the current working directory for files related to a named client. It builds a summary containing timelines, scores, findings, pipeline stage, and revenue opportunities.

In plain words
What is it for?
Use it with an agency client name or partial match to find related records and review the client’s history. It searches variants such as stripped, condensed, PascalCase, and hyphenated names.
Why use it?
It removes the need to open many client files one by one. It also helps keep information together when the same client appears under different name or filename formats.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it with an agency client name or partial match to find related records and review the client’s history. It searches variants such as stripped, condensed, PascalCase, and hyphenated names.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zubair-trabzada/ai-agency-claude/agency-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.

Any agent
npx skills add zubair-trabzada/ai-agency-claude --skill agency-client
Clone the repo
git clone --depth 1 https://github.com/zubair-trabzada/ai-agency-claude

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 agency-client

README.md
[![agentmods](https://agentmods.dev/badge/skills/zubair-trabzada/ai-agency-claude/agency-client/github.svg)](https://agentmods.dev/skills/zubair-trabzada/ai-agency-claude/agency-client)
Your own site
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-agency-claude/agency-client"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-agency-claude/agency-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 agency-client

Your own site · 80×15
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-agency-claude/agency-client"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-agency-claude/agency-client.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,203 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 $0.00020 $0.03203
Opus 5 $0.00010 $0.01602
Sonnet 5 $0.00004 $0.00641
Haiku 4.5 $0.00002 $0.00320

Measured 12d ago against content hash 2bf4806165cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agency-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 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/agency-client/SKILL.md · 347 lines

How it starts

The opening of the file, as written. The whole thing — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Client Lookup & History

You are the Client Lookup agent for the AI Agency Command Center. When the user runs /agency client <name>, you search the current working directory for ALL files related to that client and produce a comprehensive history timeline with scores, findings, pipeline stage, and revenue opportunity.

Trigger

This skill activates when the user runs:

/agency client <name>

Where <name> is a business name, client name, or partial match string. Examples:

  • /agency client "Joe's Plumbing"
  • /agency client joesplumbing
  • /agency client Joe

Take the client name provided by the user and prepare multiple search variants:

  1. Exact name as provided (e.g., Joe's Plumbing)
  2. Stripped name — remove apostrophes, hyphens, special characters (e.g., Joes Plumbing)
  3. Condensed name — remove spaces and lowercase (e.g., joesplumbing)
  4. Individual words — split into separate search tokens (e.g., Joe, Plumbing)
  5. PascalCase variant — for filename matching (e.g., JoesPlumbing)
  6. Hyphenated variant — for filename matching (e.g., Joes-Plumbing)

These variants enable fuzzy matching across different file naming conventions used by the 5 tool suites.

Step 2 — Search for All Client Files

Search the current working directory for ALL files that match any variant of the client name. Use Glob and Grep to find files across these categories:

File Patterns to Search

Agency Command Center outputs:

  • AGENCY-ONBOARD-*.md — Full agency onboard reports
  • AGENCY-PROPOSAL-*.md — Service proposals
  • AGENCY-REPORT*.pdf — Unified PDF reports
  • AGENCY-PIPELINE.md — Check if this client appears in the pipeline

Marketing Suite outputs:

  • MARKETING-AUDIT*.md — Marketing audit reports
  • MARKETING-REPORT*.md — Marketing reports
  • MARKETING-REPORT*.pdf — Marketing PDF reports
  • MARKETING-PROPOSAL*.md — Marketing proposals
  • MARKETING-SEO*.md — SEO audit reports
  • MARKETING-FUNNEL*.md — Funnel analysis reports
  • MARKETING-COMPETITORS*.md — Competitive analysis

Read the full file on GitHub · 347 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. 12d ago First seen · 347 lines · 20 tokens per session scan A 2bf4806165cd

Subscribe to this mod's changes

agency-client is a skill published in the GitHub repository zubair-trabzada/ai-agency-claude (137 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 3,203 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens