Growth Lab is an open-source growth system that uses coding agents to understand a product, research markets, execute growth activities, and learn from the results. It is designed for teams that want to manage growth work across channels such as SEO and Xiaohongshu through natural-language collaboration, persistent product context, and recorded outcomes. Catalogue add-ons define parts of its product models, research methods, execution workflows, and agent operation.
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 tsingyuai/growth-lab --skill media-crawler-zhihugit clone --depth 1 https://github.com/tsingyuai/growth-labWrote 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/tsingyuai/growth-lab/media-crawler-zhihu)<a href="https://agentmods.dev/skills/tsingyuai/growth-lab/media-crawler-zhihu"><img src="https://agentmods.dev/badge/skills/tsingyuai/growth-lab/media-crawler-zhihu/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/tsingyuai/growth-lab/media-crawler-zhihu"><img src="https://agentmods.dev/badge/skills/tsingyuai/growth-lab/media-crawler-zhihu.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00277 |
| Opus 5 | $0.00028 | $0.00138 |
| Sonnet 5 | $0.00011 | $0.00055 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
media-crawler-zhihu 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 12d 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
Zhihu collection
Follow media-crawler. Require purpose, keyword/content/creator inputs, sample and date bounds, comments/media scope, and invoking Model Memory destination.
Search with --platform zhihu --type search using problem wording, concept/category and audience/use-case variants. Shortlist by relevance, argument/content-type diversity, recency, author fit and engagement. Configure ZHIHU_SPECIFIED_ID_LIST with full answer, article, or video URLs; configure ZHIHU_CREATOR_URL_LIST with full people URLs. Run detail/creator mode.
Preserve content type. For answers retain question context; for articles retain article title; for video identify unavailable transcript rather than inventing one. Separate author text from comments, deduplicate by canonical content ID, and retain discovery-query provenance. Enable comments/media only for a shortlist and stop on challenge/risk control.
Return content-type breakdown, inputs, raw/copied paths, detail/comment/media coverage, time, commit, exclusions and selection rationale.
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.
- 12d ago First seen · 15 lines · 57 tokens per session scan A e4d499d217b8
media-crawler-zhihu is a skill published in the GitHub repository tsingyuai/growth-lab (1,998 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 57 tokens to every session and 277 once invoked, about $0.0003 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 2026-08-30.
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