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/ma-assessment)<a href="https://agentmods.dev/commands/abinauv/business-consulting/ma-assessment"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/ma-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/ma-assessment"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/ma-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 | $0.00025 | $0.01376 |
| Opus 5 | $0.00013 | $0.00688 |
| Sonnet 5 | $0.00005 | $0.00275 |
| Haiku 4.5 | $0.00003 | $0.00138 |
Grade A, and why
ma-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 10d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
M&A Assessment Playbook
Conduct a comprehensive M&A assessment for $ARGUMENTS.
This playbook chains commercial due diligence, financial analysis, competitive positioning, and strategic evaluation into a complete deal assessment.
Phase 1: Strategic Rationale
1.1 Acquisition Thesis
- What is the strategic rationale for this deal? (check all that apply)
- Market entry / geographic expansion
- Product/capability acquisition
- Customer base acquisition
- Consolidation / scale
- Vertical integration
- Talent acquisition (acqui-hire)
- Defensive (prevent competitor from acquiring)
1.2 Strategic Fit Assessment
- How does the target complement the acquirer's existing business?
- What capabilities does the target bring that the acquirer lacks?
- Are there strategic overlaps or conflicts?
- Is this a core or adjacency acquisition?
1.3 Alternatives to Acquisition
- Build organically: estimated cost, timeline, probability of success
- Partner/JV: structure options, speed, control level
- License/contract: if it's a specific capability, can it be accessed without buying?
- Conclusion: Is acquisition the best path vs. alternatives?
Phase 2: Commercial Due Diligence
2.1 Market Assessment
- Target's market: size, growth, lifecycle stage, key trends
- Porter's Five Forces for the target's industry
- Regulatory environment and risks
2.2 Competitive Position
- Target's market share and competitive positioning
- VRIO assessment of target's key resources
- Customer perception (reviews, NPS, win/loss data)
- Competitive threats to the target's position
2.3 Customer Analysis
- Customer concentration (top 10 as % of revenue)
- Customer retention and churn metrics
- Revenue quality: recurring %, contracted %, at-risk %
- Customer satisfaction and switching risks post-acquisition
2.4 Growth Assessment
- Historical growth and its drivers (organic vs. inorganic)
- Growth plan credibility assessment
- Growth opportunities the acquirer can unlock (with quantification)
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.
- 10d ago First seen · 145 lines · 25 tokens per session scan A a463a5a6700d
ma-assessment is a command published in the GitHub repository abinauv/business-consulting (28 stars, last pushed 6mo ago), licensed MIT. It adds 25 tokens to every session and 1,376 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.
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