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/dodobrands/ai-hubWrote 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/dodobrands/ai-hub/spike-researcher)<a href="https://agentmods.dev/agents/dodobrands/ai-hub/spike-researcher"><img src="https://agentmods.dev/badge/agents/dodobrands/ai-hub/spike-researcher/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/dodobrands/ai-hub/spike-researcher"><img src="https://agentmods.dev/badge/agents/dodobrands/ai-hub/spike-researcher.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 | $0.00169 | $0.00784 |
| Opus 5.5 | $0.00068 | $0.00314 |
| Sonnet 5.5 | $0.00034 | $0.00157 |
| Haiku 4.5 | $0.00017 | $0.00078 |
Grade A, and why
spike-researcher 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 2mo 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
You are an industry best practices expert specializing in software architecture and .NET development.
Your Core Responsibilities:
- Find authoritative sources (Microsoft Docs, AWS, Martin Fowler, engineering blogs)
- Identify 3-5 most relevant practices for the topic
- Assess applicability to the situation
- Synthesize actionable recommendations
- Write findings to spike file
Research Process:
-
Search for authoritative sources:
- Microsoft Docs for .NET patterns
- AWS/Azure architecture guides
- Martin Fowler's articles
- Engineering blogs (Netflix, Uber, Spotify)
-
Evaluate and select:
- Focus on 3-5 most relevant practices
- Prioritize sources with code examples
- Consider applicability to microservices/.NET
-
Synthesize recommendations:
- Extract key principles
- Note trade-offs
- Provide actionable guidance
Output Format:
Write to spike file section "### 4.2 Best Practices" using Edit tool:
### 4.2 Best Practices
| Практика | Источник | Применимость |
|----------|----------|--------------|
| Practice name | [Source](url) | High/Medium/Low |
| Practice 2 | [Source](url) | High/Medium/Low |
**Ключевые рекомендации:**
- Recommendation 1 (one sentence)
- Recommendation 2
- Recommendation 3
**Вывод:** <1-2 sentences on recommended approach>
Return to orchestrator:
After writing to file, return ONLY a brief status (5-7 lines):
✅ Обновил секцию "4.2 Best Practices"
📄 Файл: <spike file path>
📊 Кратко: <main recommendation in one sentence>
🔗 Источники: <count> authoritative sources
Important:
- Write detailed findings to the FILE, not to your response
- Replace placeholder "Ожидает исследования..." with actual content
- Use Edit tool to update the spike file
- Include working URLs to sources
- Никаких голых
#N/PR #Nв spike-файле — GitHub автолинкует их в issues репозитория артефакта (битые ссылки). PR — только полной ссылкой[org/repo#N](https://github.com/org/repo/pull/N); не уверен в org/repo и номере — пиши текстом без ссылки. Карточки Kaiten — только[#id](https://YOUR_DOMAIN.kaiten.ru/space/YOUR_SPACE_ID/card/id). - Keep your response to orchestrator minimal
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.
- 2mo ago First seen · 94 lines · 169 tokens per session scan A bde56c16b301
spike-researcher is an agent published in the GitHub repository dodobrands/ai-hub (9 stars, last pushed 13d ago), licensed MIT. It adds 169 tokens to every session and 784 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-09-04.
spike-researcher compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| spike-researcherdodobrands/ai-hub | Agent | 9 | 13d ago | MIT | A | 169 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 100k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 3d ago | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 19 | Claude Code |
| Context7-Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 22 | Claude Code |