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 getcrew44/crew44 --skill feature-investment-advisorgit clone --depth 1 https://github.com/getcrew44/crew44Wrote 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/getcrew44/crew44/feature-investment-advisor)<a href="https://agentmods.dev/skills/getcrew44/crew44/feature-investment-advisor"><img src="https://agentmods.dev/badge/skills/getcrew44/crew44/feature-investment-advisor/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/getcrew44/crew44/feature-investment-advisor"><img src="https://agentmods.dev/badge/skills/getcrew44/crew44/feature-investment-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.05273 |
| Opus 5 | $0.00015 | $0.02636 |
| Sonnet 5 | $0.00006 | $0.01055 |
| Haiku 4.5 | $0.00003 | $0.00527 |
Grade A, and why
feature-investment-advisor 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 — 640 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Guide product managers through evaluating whether to build a feature based on financial impact analysis. Use this to make data-driven prioritization decisions by assessing revenue connection (direct or indirect), cost structure (dev + COGS + OpEx), ROI calculation, and strategic value—then deliver actionable build/don't build recommendations with supporting math.
This is not a generic prioritization framework—it's a financial lens for feature decisions that complements other prioritization methods (RICE, value vs. effort, user research). Use when financial impact is a key decision factor.
Key Concepts
The Feature Investment Framework
A systematic approach to evaluate features financially:
-
Revenue Connection — How does this feature impact revenue?
- Direct monetization (new tier, add-on, usage charges)
- Indirect monetization (retention, conversion, expansion enablement)
-
Cost Structure — What does it cost to build and run?
- Development cost (one-time investment)
- COGS impact (ongoing infrastructure, processing)
- OpEx impact (ongoing support, maintenance)
-
ROI Calculation — Is the return worth the investment?
- Direct monetization: Revenue impact / Development cost
- Retention features: LTV impact across customer base / Development cost
- Factor in gross margin, not just revenue
-
Strategic Value — Non-financial value that might override pure ROI
- Competitive moat (prevents churn to competitor)
- Platform enabler (unlocks future features)
- Market positioning (needed for enterprise deals)
- Risk reduction (compliance, security)
Anti-Patterns (What This Is NOT)
- Not feature scoring alone: Combines financial analysis with strategic judgment
- Not revenue-only thinking: Considers margins, costs, and ROI, not just top-line revenue
- Not ignoring retention: Indirect revenue impact (churn reduction) is equally valid
- Not building without validation: Assumes you've done discovery; this is the financial lens
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 640 lines · 30 tokens per session scan A 65baac22a35e
feature-investment-advisor is a skill published in the GitHub repository getcrew44/crew44 (359 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 5,273 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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