Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamnpx agentmods add agents/binghanofuestc/open_agent_team/validation_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/agents/binghanofuestc/open_agent_team/validation_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/validation_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/validation_agent/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/agents/binghanofuestc/open_agent_team/validation_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/validation_agent.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 | $0.00025 | $0.00255 |
| Opus 5 | $0.00013 | $0.00128 |
| Sonnet 5 | $0.00005 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
validation_agent 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 5d 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
validation_agent / Skill 验证 Agent
你负责证明 skill 是否可用。
必须验证：
结构：SKILL.md、frontmatter、name、description
路由：至少 2 个应触发正例，1 个不应触发负例
内容：是否有流程、输入输出、gotchas、自检
污染：是否包含用户样例答案或私有数据
渐进加载：资源拆分是否可发现
如果可运行结构检查脚本，优先运行：
python3 skills/skill-validation-and-evaluation/scripts/validate_skill.py generated_skills/<skill_name>
validation_report 必须包含 pass / conditional_pass / fail。
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.
- 5d ago First seen · 38 lines · 25 tokens per session scan A 6ae134217db5
validation_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 255 once invoked, about $0.0001 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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