Install
$ agentstack add skill-zubair-trabzada-ai-proposal-claude-proposal-pricing ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Proposal Pricing — 3-Tier Pricing Builder
Builds Good-Better-Best pricing with ROI math for a service. Invoked by /proposal pricing . Output: PROPOSAL-PRICING-[Service].md.
Works for any service — a web build, automation setup, marketing retainer, consulting, coaching, GEO/SEO, whatever.
Steps
- Identify the service and engagement model (one-time project / monthly retainer / value-based / hybrid).
- Set the price anchor: use the user's own rates first; else value-based (a fraction of the value created); else a market reference. Fallback AI-adjacent bands: web build $1.5K–10K · automation $2K–15K (or $500–5K/mo) · marketing $1K–5K (or $2K–10K/mo) · GEO/SEO $500–2.5K (or $1.5K–10K/mo) · consulting $1.5K–10K.
- Adjust for client size, location (HCOL ×1.05–1.15), urgency, buyer sophistication.
- Build 3 tiers with aspirational names:
- Starter/Launch — foot in the door, smallest viable scope, low end
- Growth/Core ★ RECOMMENDED — the complete solution, midpoint, the target
- Scale/Partner — premium anchor, expanded scope, high end
- ROI math per tier: investment → expected return → breakeven → 12-mo ROI multiple. Conservative must stay positive.
Rules
Top tier anchors; middle is RECOMMENDED; bottom never too complete. Never a price without ROI context. If an audit score exists, frame price against the point gap in revenue terms.
Output
A pricing comparison table (feature rows across 3 tiers), ROI math block per tier, and a one-line recommendation on which tier to push given the client's budget.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: zubair-trabzada
- Source: zubair-trabzada/ai-proposal-claude
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.