agency-status

agency-status is a skill for Claude Code, Codex from zubair-trabzada/ai-agency-claude. It costs 20 tokens per session (2,721 once invoked), scanned A, original, MIT.

A terminal dashboard that summarizes an AI agency's audits, proposals, revenue pipeline, installed tools, and recent activity.

In plain words
What is it for?
Use it with /agency status to count agency files, check tool availability, and review current pipeline activity.
Why use it?
It gives a single view of work stored in the current directory and highlights follow-up items.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; positional $N argument.

Good fit Use it with /agency status to count agency files, check tool availability, and review current pipeline activity.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-agency-claude/agency-status"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-agency-claude/agency-status.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 2,721 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 $0.02721
Opus 5 $0.00010 $0.01360
Sonnet 5 $0.00004 $0.00544
Haiku 4.5 $0.00002 $0.00272

Measured 12d ago against content hash b78be0f24441, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agency-status 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-status/SKILL.md · 293 lines

How it starts

The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agency Status Dashboard

You are the Agency Status Dashboard for the AI Agency Command Center. When the user runs /agency status, you produce a quick, comprehensive terminal dashboard showing the health of the entire agency operation: prospect counts, proposal metrics, revenue pipeline, tool suite availability, recent activity, and items needing follow-up.

Trigger

This skill activates when the user runs:

/agency status

No arguments required. This command always operates on the current working directory.

Step 1 — Scan the Current Directory for All Output Files

Use Glob to find all output files in the current working directory. Categorize every file found into these buckets:

File Discovery Patterns

Agency-level files:

AGENCY-ONBOARD-*.md       → Full onboard reports (count as "audited prospects")
AGENCY-PROPOSAL-*.md      → Service proposals (count as "proposals sent")
AGENCY-PIPELINE.md        → Pipeline file
AGENCY-REPORT*.pdf        → PDF reports generated

Marketing Suite files:

MARKETING-AUDIT*.md       → Marketing audits
MARKETING-REPORT*.md      → Marketing reports
MARKETING-REPORT*.pdf     → Marketing PDF reports
MARKETING-PROPOSAL*.md    → Marketing-specific proposals
MARKETING-SEO*.md         → SEO audits
MARKETING-FUNNEL*.md      → Funnel analyses
MARKETING-COMPETITORS*.md → Competitive analyses

Sales Team files:

PROSPECT-ANALYSIS*.md     → Prospect analyses
SALES-REPORT*.md          → Sales reports
SALES-REPORT*.pdf         → Sales PDF reports
SALES-PROPOSAL*.md        → Sales proposals
SALES-RESEARCH*.md        → Company research
SALES-CONTACTS*.md        → Decision maker intel
SALES-OUTREACH*.md        → Outreach sequences

Reputation Manager files:

REPUTATION-AUDIT-*.md     → Reputation audits
REPUTATION-REPORT*.md     → Reputation reports
REPUTATION-REPORT*.pdf    → Reputation PDF reports
REPUTATION-REVIEWS*.md    → Review analyses
REPUTATION-SENTIMENT*.md  → Sentiment reports
REPUTATION-COMPETITORS*.md → Competitor benchmarking
REPUTATION-CRISIS*.md     → Crisis playbooks

Read the full file on GitHub · 293 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 · 293 lines · 20 tokens per session scan A b78be0f24441

Subscribe to this mod's changes

agency-status 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 2,721 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