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 robhunter/agentdeals --skill search-dealsgit clone --depth 1 https://github.com/robhunter/agentdealsWrote 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/robhunter/agentdeals/search-deals)<a href="https://agentmods.dev/skills/robhunter/agentdeals/search-deals"><img src="https://agentmods.dev/badge/skills/robhunter/agentdeals/search-deals/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/robhunter/agentdeals/search-deals"><img src="https://agentmods.dev/badge/skills/robhunter/agentdeals/search-deals.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 | $0.00016 | $0.00310 |
| Opus 5 | $0.00008 | $0.00155 |
| Sonnet 5 | $0.00003 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
search-deals 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 12d 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.
What it actually says
When the user asks about pricing, free tiers, cost optimization, or developer tool deals, use the AgentDeals MCP server to search for relevant offers.
Steps
- Identify the user's need: Are they looking for a specific vendor, a category of tools, or comparing options?
- Use
search_dealsto find matching deals. Filter by category or eligibility if the user specifies constraints (e.g., "startup credits" → eligibility: "accelerator"). - For detailed pricing info on a specific vendor, use
search_dealswith thevendorparameter — alternatives are always included. - If the user wants a full infrastructure stack recommendation, use
plan_stackwith mode "recommend" and their use case. - Present results clearly: highlight free tier limits, any recent pricing changes, and expiration dates.
Examples
- "What free databases are available?" →
search_dealswith query "database" or category "Databases" - "Compare Supabase and Firebase" →
compare_vendorswith vendors ["Supabase", "Firebase"] - "What startup credits can I get?" →
search_dealswith eligibility "accelerator" - "Best free stack for a SaaS app?" →
plan_stackwith mode "recommend" and use_case "saas" - "Any recent pricing changes I should know about?" →
track_changes
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.
- 12d ago First seen · 23 lines · 16 tokens per session scan A 433908b7477e
search-deals is a skill published in the GitHub repository robhunter/agentdeals (16 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 310 once invoked, about $0.0001 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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