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/pricing-analysis)<a href="https://agentmods.dev/commands/abinauv/business-consulting/pricing-analysis"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/pricing-analysis.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.02382 |
| Opus 5 | $0.00018 | $0.01191 |
| Sonnet 5 | $0.00007 | $0.00476 |
| Haiku 4.5 | $0.00004 | $0.00238 |
Grade A, and why
pricing-analysis 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 7d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comprehensive Pricing Analysis
Conduct a full pricing analysis for $ARGUMENTS.
This command chains together multiple pricing strategy methodologies to deliver an end-to-end pricing recommendation with financial projections.
Phase 1: Current Pricing Assessment
1.1 Current Model Audit
- Document the current pricing model (per-seat, usage-based, flat-rate, hybrid, etc.)
- Map all current tiers, plans, add-ons, and their price points
- Identify the current pricing metric (what unit does the customer pay for?)
- Calculate current blended ARPU, ACV, and revenue mix by tier/plan
- Assess current gross margin by plan/tier
1.2 Pricing Health Diagnostics
Evaluate each indicator and flag issues:
| Diagnostic | Healthy Signal | Warning Signal |
|---|---|---|
| Tier distribution | 20-30% / 45-55% / 15-25% across tiers | >60% on lowest tier (underpriced or poor fencing) |
| Discount frequency | <30% of deals discounted | >50% of deals discounted (pricing too high or poor discipline) |
| Average discount depth | <15% | >25% (pricing integrity eroding) |
| Win rate vs. price objection | Price is #3+ objection | Price is #1 objection consistently |
| Net revenue retention | >100% | <90% (churn or contraction problem) |
| Expansion revenue | >20% of new ARR | <10% (no natural upgrade path) |
| Monthly-to-annual mix | >50% annual | <30% annual (commitment problem) |
| Time since last price change | <18 months | >24 months (likely underpriced) |
1.3 Issue Identification
Based on the audit, identify and rank the top 3-5 pricing issues:
- Underpricing (leaving money on the table)
- Overpricing (losing deals on price)
- Poor tier design (wrong features in wrong tiers)
- Weak price fencing (too easy to stay on low tier)
- Missing expansion path (no natural upsell triggers)
- Discount leakage (too many discounts, too deep)
- Model misalignment (pricing metric does not track value)
- Competitive vulnerability (priced above value-line vs. competitors)
Phase 2: Competitive Price Positioning
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.
- 7d ago First seen · 252 lines · 36 tokens per session scan A e56823a614c2
pricing-analysis is a command published in the GitHub repository abinauv/business-consulting (27 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 2,382 once invoked, about $0.0002 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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