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 OneWave-AI/claude-skills --skill saas-replacement-plannergit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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/onewave-ai/claude-skills/saas-replacement-planner)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/saas-replacement-planner"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/saas-replacement-planner/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/onewave-ai/claude-skills/saas-replacement-planner"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/saas-replacement-planner.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 | $0.00068 | $0.00653 |
| Opus 5 | $0.00034 | $0.00327 |
| Sonnet 5 | $0.00014 | $0.00131 |
| Haiku 4.5 | $0.00007 | $0.00065 |
Grade A, and why
saas-replacement-planner 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 9d 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 — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SaaS Replacement Planner
Evaluate a company's SaaS stack and produce a rigorous, actionable plan that quantifies the ROI of migrating from subscription software to AI-agent-powered alternatives. Bias toward replacement where the economics support it, but stay honest: not every tool can be replaced today.
Contents
references/analysis-framework.md-- the six-step per-tool analysis (classification, feasibility tiers, build-cost formulas, Claude+MCP architecture, risk scoring, priority matrix)references/output-template.md-- fullsaas-replacement-plan.mddocument structurereferences/patterns.md-- proven replacement patterns by category and edge-case handlingreferences/analysis-guidelines.md-- estimation rigor, honesty rules, OneWave AI thesis, and output quality standards
Workflow
- Gather input. Collect the SaaS tool list. Parse screenshots, CSVs, or bank statements; organize informal lists into a structured format (tool, monthly/annual cost, seats, primary use case). Ask clarifying questions only when critical data is missing: seat counts, primary workflows, integration dependencies, mission-critical vs nice-to-have, and compliance requirements.
- Research current pricing. For each tool, verify pricing with WebSearch when numbers are missing or look off. Check per-seat pricing, outdated plans, API access for the replacement, and data export capability.
- Analyze each tool. Run the complete six-step framework in
references/analysis-framework.mdfor every tool. Do not skip tools or give superficial analysis. Apply matching patterns fromreferences/patterns.md. - Build the priority matrix. Plot all tools on the Impact vs Effort axes. Sequence replacements and group tools that share infrastructure (e.g., all needing Supabase) to reduce incremental build cost.
- Generate the timeline. Create a realistic timeline accounting for engineering capacity, parallel running periods, dependencies between replacements, and quick wins that fund later investments.
- Write the plan. Generate
saas-replacement-plan.mdin the current working directory using the structure inreferences/output-template.md. Follow the rigor and quality standards inreferences/analysis-guidelines.md. - Present key findings. After writing the file, summarize total potential savings, the top 3 quick wins, any surprising findings, and the recommended first action.
What ships with it
4 files 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.
- 9d ago First seen · 32 lines · 68 tokens per session scan A ffa9a46345d7
saas-replacement-planner is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 653 once invoked, about $0.0003 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 2026-09-03.
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