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 code2rich/agentwaker-xiaohongshu-operator --skill trend-researchgit clone --depth 1 https://github.com/code2rich/agentwaker-xiaohongshu-operatorWrote 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/code2rich/agentwaker-xiaohongshu-operator/trend-research)<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/trend-research"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/trend-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/code2rich/agentwaker-xiaohongshu-operator/trend-research"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/trend-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 | $0.00057 | $0.00362 |
| Opus 5.5 | $0.00023 | $0.00145 |
| Sonnet 5.5 | $0.00011 | $0.00072 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
trend-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 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
Trend Research
Purpose
Research Xiaohongshu hot categories, keyword results, hashtag candidates, competitor note patterns, and audience language.
Trigger Conditions
Use this skill when the user asks for topics, trends, competitor examples, keyword signals, hashtags, or content angles.
Required Inputs
- Topic, product, service, niche, or target category.
- Target audience and account positioning when available.
- Optional competitor accounts, note URLs, or keywords.
Workflow
- Define research scope and keyword set.
- Use read-only commands such as
xhs hot,xhs search,xhs topics,xhs read, orxhs user-posts. - Summarize observed signals: repeated hooks, note formats, pain points, visuals, hashtags, and audience questions.
- Separate observed signals from assumptions.
- Recommend content angles and next experiments.
Outputs
- Keyword or category research summary.
- Topic clusters and hashtag candidates.
- Competitor or example pattern notes.
- Recommended content angles with confidence.
Approval Gates
No approval is required for read-only research. Approval is required before any follow, favorite, like, comment, or other account write.
Failure Handling
If xhs fails or is unauthenticated, record the command and error, then ask for screenshots, URLs, or pasted examples.
Handoff Rules
Handoff to ProductManager when product positioning or offer strategy is unclear.
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.
- 2mo ago First seen · 48 lines · 57 tokens per session scan A caf61a7f0439
trend-research is a skill published in the GitHub repository code2rich/agentwaker-xiaohongshu-operator (5 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 362 once invoked, about $0.0002 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 2026-08-31.
trend-research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| trend-researchcode2rich/agentwaker-xiaohongshu-operator | Skill | 5 | 3mo ago | MIT | A | 57 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |