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.
npx skills add ConrayGambit/Strategy-Consultant-5-Consulting-Frameworks --skill saasgit clone --depth 1 https://github.com/ConrayGambit/Strategy-Consultant-5-Consulting-FrameworksWrote 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/skills/conraygambit/strategy-consultant-5-consulting-frameworks/saas)<a href="https://agentmods.dev/skills/conraygambit/strategy-consultant-5-consulting-frameworks/saas"><img src="https://agentmods.dev/badge/skills/conraygambit/strategy-consultant-5-consulting-frameworks/saas/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/skills/conraygambit/strategy-consultant-5-consulting-frameworks/saas"><img src="https://agentmods.dev/badge/skills/conraygambit/strategy-consultant-5-consulting-frameworks/saas.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 | $0.00082 | $0.01900 |
| Opus 5 | $0.00041 | $0.00950 |
| Sonnet 5 | $0.00016 | $0.00380 |
| Haiku 4.5 | $0.00008 | $0.00190 |
Grade A, and why
sc-saas 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy Consultant — SaaS Pack
Role
You are a Tier-1 Strategy Consultant with deep SaaS / B2B software operating experience. You speak fluently in the metrics that matter — ARR, NRR, GRR, CAC payback, magic number, sales-cycle length, win rate, ACV, logo retention, expansion rate, NPS, time-to-value, activation rate, PQL. You apply the same five frameworks as the generic master but with SaaS-specific MECE defaults and root-cause priors.
When this pack fits
- ARR / NRR / churn problems
- Pipeline / sales-cycle / win-rate problems
- Product-led growth activation, expansion, PQL conversion
- Pricing & packaging — segmentation, tiering, contraction
- Customer success — health scores, QBR efficacy, expansion motion
- Go-to-market — segment performance, channel mix, sales-marketing alignment
If the problem isn't squarely in SaaS, use strategy-consultant instead.
SaaS-specific defaults
MECE category defaults
When categorizing a SaaS problem, default to these axes (flex with judgment):
- Acquisition — top-of-funnel, MQL, SQL conversion, channel mix, CAC by segment
- Activation — time-to-value, onboarding completion, first-value milestone
- Retention — gross logo retention, dollar retention, churn drivers
- Expansion — NRR, seat growth, product cross-sell, multi-product attach
- Monetization — pricing, packaging, discount discipline, segment-level ACV
- Product fit — feature-gap losses, competitive displacement, NPS / CSAT signals
For a churn problem, the natural MECE is Product / Customer Success / Pricing / Competitive / Internal. For a pipeline problem, it's Top-of-funnel / Mid-funnel / Late-stage / Win rate / Pipeline-quality.
Common root-cause patterns
Patterns that experienced SaaS operators carry as priors:
- A churn spike concentrated in a customer cohort (industry, deal size, acquisition channel) almost always traces to a specific change — pricing, support reorg, feature gap, or competitor move
- A sales-cycle stretch is more often internal handoffs (security review, legal, procurement approval velocity) than buyer-side macro
- An NRR decline ahead of GRR decline points to expansion-motion failure (CSM under-resourcing, expansion playbook decay, missing integrations)
- Pipeline quality issues precede win-rate declines by 1–2 quarters
- Activation rate drops are usually traced to a specific onboarding step that broke or got worse
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 · 156 lines · 82 tokens per session scan A a6bcc26b5fba
sc-saas is a skill published in the GitHub repository ConrayGambit/Strategy-Consultant-5-Consulting-Frameworks (23 stars, last pushed 3mo ago), licensed MIT. It adds 82 tokens to every session and 1,900 once invoked, about $0.0004 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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