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 valkryhx/google_adk_agent --skill agent_team_to_be_updategit clone --depth 1 https://github.com/valkryhx/google_adk_agentWrote 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/valkryhx/google_adk_agent/agent_team_to_be_update)<a href="https://agentmods.dev/skills/valkryhx/google_adk_agent/agent_team_to_be_update"><img src="https://agentmods.dev/badge/skills/valkryhx/google_adk_agent/agent_team_to_be_update/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/valkryhx/google_adk_agent/agent_team_to_be_update"><img src="https://agentmods.dev/badge/skills/valkryhx/google_adk_agent/agent_team_to_be_update.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 | $0.00048 | $0.04627 |
| Opus 5 | $0.00024 | $0.02313 |
| Sonnet 5 | $0.00010 | $0.00925 |
| Haiku 4.5 | $0.00005 | $0.00463 |
Grade A, and why
Agent 团队协作（去中心化拉模型） scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
【验收标准】: 服务启动无报错，curl http://localhost:5000/api/users 返回 200 Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
2. **跨平台优雅控制**：Windows Shell `cmd` 并无法像 Linux 那样获取 `$!` 实现异步杀进程，若使用这种命令必将失败。强烈建议单独编写一个验收用的 Python 脚本，并使用 `process = subprocess.Popen(...)` 拉起服务，在 `requests` 断言请求结束后跟上 `process.terminate()` 来安全释放。 The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
23 files 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.
- decentralized_tools.py 36 KB runs code
- dependency_analyzer.py 11 KB runs code
- inbox_watcher.py 8.5 KB runs code
- loop_executor.py 16 KB runs code
- mailbox.py 15 KB runs code
- models.py 9.1 KB runs code
- path_guard.py 13 KB runs code
- planner.py 15 KB runs code
- polling_daemon.py 7.7 KB runs code
- self_claim_loop.py 20 KB runs code
- task_queue.py 24 KB runs code
- team_config.py 7.5 KB runs code
- test/__init__.py 40 B runs code
- test/test_blog_system_develop.py 12 KB runs code
- test/test_dag_create_validation.py 2.7 KB runs code
- test/test_decentralized_arch.py 37 KB runs code
- test/test_deepresearch.py 15 KB runs code
- test/test_loop_dag.py 17 KB runs code
- test/test_real_training.py 9.2 KB runs code
- test/test_tdd_gate.py 4.5 KB runs code
- tools.py 86 KB runs code
- verification_hooks.py 11 KB runs code
- worktree_manager.py 13 KB runs code
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.
- 9d ago First seen · 395 lines · 48 tokens per session scan A e39c945ea3f9
Agent 团队协作（去中心化拉模型） is a skill published in the GitHub repository valkryhx/google_adk_agent (6 stars, last pushed 4mo ago), with no licence file. It adds 48 tokens to every session and 4,627 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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