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 Omar-Obando/qwen-orchestrator --skill technology-evaluationgit clone --depth 1 https://github.com/Omar-Obando/qwen-orchestratorWrote 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/omar-obando/qwen-orchestrator/technology-evaluation)<a href="https://agentmods.dev/skills/omar-obando/qwen-orchestrator/technology-evaluation"><img src="https://agentmods.dev/badge/skills/omar-obando/qwen-orchestrator/technology-evaluation/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/omar-obando/qwen-orchestrator/technology-evaluation"><img src="https://agentmods.dev/badge/skills/omar-obando/qwen-orchestrator/technology-evaluation.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 | $0.00048 | $0.02217 |
| Opus 5 | $0.00024 | $0.01108 |
| Sonnet 5 | $0.00010 | $0.00443 |
| Haiku 4.5 | $0.00005 | $0.00222 |
Grade A, and why
technology-evaluation 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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technology Evaluation Skill — Tech Selector
Overview
This skill provides comprehensive guidance for evaluating and selecting technologies. It covers requirements analysis, pros/cons analysis, proof of concepts, technology roadmaps, and technology selection following technology evaluation best practices.
When to Use
Use this skill when:
- Evaluating technology options for projects
- Comparing technology stacks
- Conducting technology assessments
- Making technology selection recommendations
- Creating technology requirements
- Performing proof of concept (PoC)
- Evaluating technology vendors
- Conducting technology feasibility studies
- Creating technology roadmaps
- Evaluating technology risks
- Assessing technology scalability
- Evaluating technology maintainability
- Conducting technology cost analysis
- Evaluating technology community support
- Assessing technology learning curve
- Evaluating technology ecosystem
- Conducting technology compatibility analysis
- Evaluating technology security
- Assessing technology performance
- Evaluating technology integration
- Conducting technology migration analysis
- Evaluating technology future outlook
- Assessing technology vendor stability
Do NOT use this skill when:
- Writing application business logic (use domain-driven skill)
- Designing database schemas (use database-design skill)
- Writing API endpoint specifications (use api-design skill)
- Performing security audits (use security-auditor skill)
- Writing SQL queries (use sql-best-practices skill)
- Designing multi-page website layouts (use design-system skill)
- Analyzing deployment configurations (use deployment skill)
- Writing documentation (use documentation-best-practices skill)
Technology Evaluation Framework
Evaluation Checklist
┌─────────────────────────────────────────────────────────────┐
│ Technology Evaluation Checklist │
├─────────────────────────────────────────────────────────────┤
│ Requirements: │
│ [ ] Meets functional requirements │
│ [ ] Meets non-functional requirements │
│ [ ] Scales to expected load │
│ [ ] Integrates with existing systems │
│ │
│ Technical: │
│ [ ] Performance acceptable │
│ [ ] Security requirements met │
│ [ ] Maintainability good │
│ [ ] Documentation available │
│ │
│ Community: │
│ [ ] Active community │
│ [ ] Regular updates │
│ [ ] Good support resources │
│ [ ] Community contributions │
│ │
│ Business: │
│ [ ] Cost acceptable │
│ [ ] Vendor stability │
│ [ ] License terms acceptable │
│ [ ] Long-term viability │
└─────────────────────────────────────────────────────────────┘
What ships with it
1 file 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 · 278 lines · 48 tokens per session scan A 95ddd22558a7
technology-evaluation is a skill published in the GitHub repository Omar-Obando/qwen-orchestrator (49 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 2,217 once invoked, about $0.0002 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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