Feature Investment AdvisorSAFE
Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
Overview
Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
0b657a54b6d7OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: feature-investment-advisor argument-hint: "[feature to evaluate]" description: Evaluate feature investments using revenue impact, cost structure, ROI, and strategy. Use when deciding whether a feature deserves investment. intent: >- 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. type: interactive best_for: - "Assessing whether a feature should be built now" - "Comparing ROI and strategic value of feature ideas" - "Pressure-testing roadmap requests with financial logic" scenarios: - "Should we build SSO for mid-market customers this quarter?" - "Evaluate whether an AI assistant feature is worth the investment" - "Help me decide if this roadmap request has enough ROI to build" theme: finance-metrics estimated_time: "15-25 min" --- ## 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. ## Input **Works best with:** The feature you're deciding on, in a sentence or two. **Also useful:** Revenue connection (direct or indirect), rough cost inputs (dev time, COGS, ongoing OpEx), and the strategic argument being made for it. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line — counts as answers already given. Use it and skip whatever it covers; don't re-ask. **Arriving empty-handed? That works too.** The advisor opens by asking what the feature is and how it's supposed to make or save money. **Example invocation:** `Should we build SSO/SAML? Enterprise deals keep stalling on it; est. 2 engineer-months plus ongoing support burden.` ## Key Concepts ### The Feature Investment Framework A systematic approach to evaluate features financially: 1. **Revenue Connection** — How does this feature impact revenue? - Direct monetization (new tier, add-on, usage charges) - Indirect monetization (retention, conversion, expansion enablement) 2. **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) 3. **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 4. **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 ### When to Use This Framework **Use this when:** - Prioritizing between features with quantifiable revenue/retention impact - Evaluating expensive features (>1 engineer-month of work) - Making build/buy/partner decisions - Defending feature prioritization to stakeholders or leadership - Choosing between direct monetization (add-on) vs. indirect (retention) **Don't use this when:** - Feature is table stakes (must-have for competitive parity) - Impact is purely qualitative (brand, UX delight without measurable retention effect) - You haven't validated the problem (do discovery first) - Feature is < 1 week of work (just build it) --- ### Facilitation Source of Truth Use [`workshop-facilitation`](../workshop-facilitation/SKILL.md) as the default interaction protocol for this skill. It defines: - session heads-up + entry mode (Guided, Context dump, Best guess) - one-question turns with plain-language prompts - progress labels (for example, Context Qx/8 and Scoring Qx/5) - interruption handling and pause/resume behavior - numbered recommendations at decision points - quick-select numbered response options for regular questions (include `Other (specify)` when useful) This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic. ## Application This interactive skill asks **up to 4 adaptive questions**, offering **3-5 enumerated options** at decision points. --- ### Step 0: Gather Context **Agent asks:** "Let's evaluate the financial impact of this feature investment. Please provide: **Feature description:** - What's the feature? (1-2 sentences) - Target customer segment (SMB, mid-market, enterprise, all) **Current business context:** - Current MRR/ARR (or customer count if pre-revenue) - Current ARPU/ARPA - Current monthly churn rate - Gross margin % **Constraints:** - Development cost estimate (team size × time) - Any ongoing COGS or OpEx implications? You can provide estimates if you don't have exact numbers." --- ### Step 1: Identify Revenue Connection **Agent asks:** "How does this feature impact revenue? Choose the option t
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
0b657a54b6d7full audit observations/trust-audit/skill/deanpeters__feature-investment-advisor.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 0b657a54b6d7 | SAFE | B | 89 | first audit |
Questions
What does the Feature Investment Advisor skill do?
Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
Is Feature Investment Advisor safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Feature Investment Advisor access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (0b657a54b6d7), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.