Octop is a self-hosted, multi-user AI assistant that runs multiple specialized agents and connects them to chat interfaces, tools, and external services. It is for individuals, families, and teams who want a locally operated assistant with shared experts and persistent capabilities. Catalogue add-ons extend its agent and assistant workflows.
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 TencentCloud/Octop --skill user-researchgit clone --depth 1 https://github.com/TencentCloud/OctopWrote 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/tencentcloud/octop/user-research)<a href="https://agentmods.dev/skills/tencentcloud/octop/user-research"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/user-research/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/tencentcloud/octop/user-research"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/user-research.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 | $0.00055 | $0.00411 |
| Opus 5.5 | $0.00022 | $0.00164 |
| Sonnet 5.5 | $0.00011 | $0.00082 |
| Haiku 4.5 | $0.00006 | $0.00041 |
Grade A, and why
user-research 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 today.
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.
This is a copy
100% identical to user-research — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
User Research
Help plan, execute, and synthesize user research studies.
Research Methods
| Method | Best For | Sample Size | Time |
|---|---|---|---|
| User interviews | Deep understanding of needs and motivations | 5-8 | 2-4 weeks |
| Usability testing | Evaluating a specific design or flow | 5-8 | 1-2 weeks |
| Surveys | Quantifying attitudes and preferences | 100+ | 1-2 weeks |
| Card sorting | Information architecture decisions | 15-30 | 1 week |
| Diary studies | Understanding behavior over time | 10-15 | 2-8 weeks |
| A/B testing | Comparing specific design choices | Statistical significance | 1-4 weeks |
Interview Guide Structure
- Warm-up (5 min): Build rapport, explain the session
- Context (10 min): Understand their current workflow
- Deep dive (20 min): Explore the specific topic
- Reaction (10 min): Show concepts or prototypes
- Wrap-up (5 min): Anything we missed? Thank them.
Analysis Framework
- Affinity mapping: Group observations into themes
- Impact/effort matrix: Prioritize findings
- Journey mapping: Visualize the user experience over time
- Jobs to be done: Understand what users are hiring your product to do
Deliverables
- Research plan (objectives, methods, timeline, participants)
- Interview guide (questions, probes, activities)
- Synthesis report (themes, insights, recommendations)
- Highlight reel (key quotes and observations)
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.
- today First seen · 42 lines · 55 tokens per session scan A fa18fc13d0f4
user-research is a skill published in the GitHub repository TencentCloud/Octop (9,540 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 411 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to user-research, differing in 0 lines, and is treated as a copy.
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