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 agentmods add skills/boshi-xixixi/traeskill/gtm-developer-ecosystemnpx skills add boshi-xixixi/TraeSkill --skill gtm-developer-ecosystemgit clone --depth 1 https://github.com/boshi-xixixi/TraeSkillWrote 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/boshi-xixixi/traeskill/gtm-developer-ecosystem)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/gtm-developer-ecosystem"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/gtm-developer-ecosystem.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.02044 |
| Opus 5 | $0.00020 | $0.01022 |
| Sonnet 5 | $0.00008 | $0.00409 |
| Haiku 4.5 | $0.00004 | $0.00204 |
Grade A, and why
gtm-developer-ecosystem 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- developer-ecosystem — 95% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Developer Ecosystem
Build and scale developer-led adoption through ecosystem programs, community, and partnerships. Focus on what actually drives adoption, not vanity metrics.
When to Use
Triggers:
- "How do we build a developer ecosystem?"
- "Should we curate quality or go open?"
- "Developer community isn't growing"
- "Nobody's building on our API"
- "How do we compete with larger platforms?"
Context:
- API platforms and developer tools
- Products with extensibility (plugins, integrations)
- Developer-first GTM motion
- Platform business models
Core Frameworks
1. Open vs Curated Ecosystem (The Marketplace Decision)
The Pattern:
Running ecosystem at a developer platform. Leadership debate: Open the marketplace to anyone, or curate for quality?
Quality control camp: "We need gatekeeping. Otherwise we'll get SEO spam, low-quality integrations, brand damage."
Open camp: "Developers route around gatekeepers. Network effects matter more than quality control."
The decision: Went open. Quality concerns were real, but we made a bet: control comes from discovery and trust layers, not submission gatekeeping.
What We Built Instead of Gatekeeping:
- Search and discovery — Surface high-quality integrations through algorithms, not human curation
- Trust signals — Verified badges, usage stats, health scores
- Community curation — User ratings, collections, recommendations
- Moderation — Remove spam after publication, not block before
Result: Network effects won. Thousands of integrations published. Quality surfaced through usage, not through us deciding upfront.
Decision Framework:
- Curated works when: Brand risk high, dozens of partners, can scale human review
- Open works when: Hundreds/thousands of potential partners, network effects matter more than quality control
Common Mistake:
Defaulting to curated because "we need quality control." This works when you have 10 partners. At 100+, you become the bottleneck. Build discovery and trust systems instead.
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.
- 2d ago First seen · 311 lines · 40 tokens per session scan A 52dfe739ae18
gtm-developer-ecosystem is a skill published in the GitHub repository boshi-xixixi/TraeSkill (261 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 2,044 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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当用户 时使用。典型信号：用户说" "、 。涉及关键词： 、 。只写"何时触发"，不写工作流；第三人称、中文。上限 1024 字符.
spec-writing
Skill "spec-writing" from Lion-1209/Lion-Skills, covering spec writing, 概述, 何时使用, 核心内容 and 先判断时机：spec 之前还有没有重大未知.
onboarding-unknown-codebase
需快速上手陌生代码库、理解项目结构时。.
commit-message
把一团 diff 提炼成规范、可追溯的提交信息。核心：一条提交说清"做了什么"和"为什么"，让未来的自己（和同事）能从提交历史里读懂项目演进。.
clarifying-questions
需求模糊、含隐藏假设或 X-Y problem，需先澄清再动手时。.
debugging
用科学方法定位 bug 的根因，而不是凭直觉乱改碰运气。核心：调试是观察 → 假设 → 设计实验验证 → 缩小范围 → 定位根因的循环，每一步都有依据。改到"不报错"不算修好——那可能只是把症状盖住了，根因还在。.