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.
git clone --depth 1 https://github.com/abinauv/business-consultingWrote 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/commands/abinauv/business-consulting/digital-assessment)<a href="https://agentmods.dev/commands/abinauv/business-consulting/digital-assessment"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/digital-assessment/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/commands/abinauv/business-consulting/digital-assessment"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/digital-assessment.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 | $0.00008 | $0.00490 |
| Opus 5 | $0.00004 | $0.00245 |
| Sonnet 5 | $0.00002 | $0.00098 |
| Haiku 4.5 | $0.00001 | $0.00049 |
Grade A, and why
digital-assessment 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.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Digital Transformation Assessment
Use the business-consulting:digital-transformation skill to assess digital maturity and build a transformation roadmap.
Analysis Steps
-
Digital Maturity Assessment — Score the organization across 8 dimensions (1–5 scale):
Dimension Current Level Target Level Gap Priority Strategy & Vision Customer Experience Operations & Processes Technology & Architecture Data & Analytics Organization & Culture Innovation & Agility Ecosystem & Partnerships -
AI & Automation Opportunity Scan — Identify processes suitable for automation. Score each on feasibility × impact. Present top 10 opportunities with estimated ROI.
-
Technology Stack Assessment — Evaluate current technology landscape. Classify applications as: Retain, Re-platform, Replace, or Retire. Identify consolidation opportunities and cost savings.
-
Data Strategy Review — Assess data governance, quality, architecture, and analytics capabilities. Identify data monetization opportunities and quick wins.
-
Build vs. Buy vs. Partner — For top 3 technology gaps, evaluate build, buy, and partner options with TCO comparison and recommendation.
-
Digital Roadmap — Create a phased roadmap:
- Phase 1 (0–6 months): Quick wins, foundation building, governance setup
- Phase 2 (6–18 months): Core transformation initiatives, capability building
- Phase 3 (18–36 months): Advanced capabilities, scaling, optimization Include dependencies, investment requirements, and expected outcomes per phase.
-
Investment Summary — Total investment required, phased over 3 years, with expected ROI and payback period.
Output Requirements
- Present maturity scores as a scorecard table
- Quantify all automation opportunities with dollar impact
- Include a visual roadmap (timeline table with swim lanes by workstream)
- End with top 5 strategic recommendations ranked by impact and urgency
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.
- 9d ago First seen · 46 lines · 8 tokens per session scan A 8ab712aea4f7
digital-assessment is a command published in the GitHub repository abinauv/business-consulting (28 stars, last pushed 6mo ago), licensed MIT. It adds 8 tokens to every session and 490 once invoked, about $0.0000 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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