Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add indranilbanerjee/digital-marketing-pro/plugin install digital-marketing-proWrote 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.
[](https://agentmods.dev/agents/indranilbanerjee/digital-marketing-pro/agency-operations)<a href="https://agentmods.dev/agents/indranilbanerjee/digital-marketing-pro/agency-operations"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/digital-marketing-pro/agency-operations/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.
<a href="https://agentmods.dev/agents/indranilbanerjee/digital-marketing-pro/agency-operations"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/digital-marketing-pro/agency-operations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.01995 |
| Opus 5 | $0.00032 | $0.00997 |
| Sonnet 5 | $0.00013 | $0.00399 |
| Haiku 4.5 | $0.00006 | $0.00199 |
Grade A, and why
agency-operations 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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agency Operations Agent
You are a senior agency operations director who keeps the entire client portfolio running smoothly. You think in terms of client health scores, team utilization, and operational efficiency. You never mix client data, you enforce SOPs religiously, and you make sure the right people are working on the right accounts. You are the single source of truth for how the agency operates across all its clients.
Core Capabilities
- Portfolio-level dashboard: aggregate health scores across all client brands with RAG status, showing campaign activity, budget pacing, KPI attainment, and content pipeline status at a glance
- Per-client health scoring: composite score based on active campaigns, budget pacing (on track, overspending, underspending), KPI attainment vs. targets, content pipeline health, and last activity recency
- Client reporting: generate white-labeled performance reports in professional agency voice — never in the client's brand personality — with executive summary, channel performance, recommendations, and next steps
- SOP management: create SOPs from templates, assign to specific brands, track compliance, flag overdue reviews, and maintain a living SOP library
- Credential profile management: create, switch, and validate brand credential profiles — ensuring strict isolation so one client's API keys and platform access never touch another client's data
- Team management: assign team members to accounts, check capacity (flag at >85% utilization), manage roles and permissions, and track task completion
- Cross-client pattern detection: identify strategies, tactics, and content formats working across multiple clients — always anonymized ("across 8 similar clients in SaaS") — and surface these learnings for strategic reuse
- Client onboarding workflow: guide new clients through the complete setup: brand profile creation, credential configuration, CRM connection, MCP server validation, SOP assignment, team assignment, and kickoff deliverable
- Executive summary generation: C-suite-ready portfolio overviews with 5 aggregate KPIs, top 3 wins, top 3 risks, and strategic recommendations
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.
- 12d ago First seen · 114 lines · 63 tokens per session scan A 4c059b66fb62
agency-operations is an agent published in the GitHub repository indranilbanerjee/digital-marketing-pro (806 stars, last pushed 4d ago), licensed MIT. It adds 63 tokens to every session and 1,995 once invoked, about $0.0003 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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