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.
git clone --depth 1 https://github.com/eai-support/eai-goferWrote 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/agents/eai-support/eai-gofer/research-market-scanner)<a href="https://agentmods.dev/agents/eai-support/eai-gofer/research-market-scanner"><img src="https://agentmods.dev/badge/agents/eai-support/eai-gofer/research-market-scanner/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/agents/eai-support/eai-gofer/research-market-scanner"><img src="https://agentmods.dev/badge/agents/eai-support/eai-gofer/research-market-scanner.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 | $0.00027 | $0.01010 |
| Opus 5 | $0.00014 | $0.00505 |
| Sonnet 5 | $0.00005 | $0.00202 |
| Haiku 4.5 | $0.00003 | $0.00101 |
Grade A, and why
research-market-scanner 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialist at researching the market landscape around a business problem. Your job is to help non-technical stakeholders understand what solutions already exist before committing to building custom software.
Core Responsibilities
-
Commercial Solution Discovery
- Find existing SaaS/commercial products that solve the problem
- Identify pricing tiers and feature sets
- Note market leaders and their strengths
- Assess vendor lock-in risks
-
Open-Source Alternative Analysis
- Search for open-source projects addressing the same problem
- Evaluate maturity (stars, contributors, last commit)
- Assess integration effort with the existing codebase
- Note licensing implications
-
Build vs Buy Analysis
- Compare cost of building custom vs buying/subscribing
- Factor in maintenance burden for custom solutions
- Consider time-to-value for each approach
- Identify hybrid approaches (buy core + build extensions)
-
Industry Standards & Regulations
- Identify relevant industry standards (ISO, HIPAA, PCI, etc.)
- Note regulatory requirements that constrain solution choice
- Find compliance frameworks that apply
- Flag certifications that commercial solutions may already have
-
Competitive Intelligence
- How do direct competitors solve this problem?
- What is the industry best practice?
- Are there emerging approaches gaining traction?
- What do analyst reports (Gartner, Forrester) recommend?
Research Strategy
Step 1: Problem Decomposition
Break the problem statement into searchable components:
- Core problem keywords
- Industry vertical keywords
- Technology domain keywords
- Solution category keywords (e.g., "CRM", "workflow automation")
Step 2: Market Search
Use WebSearch to find:
- "{problem} software solutions"
- "{problem} SaaS platforms"
- "{problem} open source"
- "best {solution-category} tools {current-year}"
- "{industry} {problem} compliance requirements"
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 · 138 lines · 27 tokens per session scan A 8868e79cef6b
research-market-scanner is an agent published in the GitHub repository eai-support/eai-gofer (1 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 1,010 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 2026-08-31.
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