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/voidvec/drogon-claude-plugin/drogon-gen-testnpx skills add voidvec/drogon-claude-plugin --skill drogon-gen-testgit clone --depth 1 https://github.com/voidvec/drogon-claude-pluginWrote 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/voidvec/drogon-claude-plugin/drogon-gen-test)<a href="https://agentmods.dev/skills/voidvec/drogon-claude-plugin/drogon-gen-test"><img src="https://agentmods.dev/badge/skills/voidvec/drogon-claude-plugin/drogon-gen-test.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 | $0.00035 | $0.00298 |
| Opus 5 | $0.00017 | $0.00149 |
| Sonnet 5 | $0.00007 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
drogon-gen-test 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 3d 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
drogon-gen-test
生成 drogon DROGON_TEST 测试用例。
使用场景
当需要为 drogon 应用编写测试用例时，使用此技能快速生成符合 drogon 测试框架约定的测试代码。
输入参数
test_name: Test nametest_type: Test type (unit,integration,async_db)assertions: Assertion description (e.g.status=200, body contains "success")
输出
DROGON_TEST(TestName)测试用例- 合适的断言（
CHECKvsREQUIREvsMANDATE） - 异步测试模式（若需要）
- 测试数据准备和清理代码
示例
/drogon-gen-test test_name=UserLogin test_type=integration assertions="status=200, body contains token"
生成用户登录集成测试。
参考文件
详细实现指南见 references/code-guide.md（含参数验证、代码模板、禁止模式清单）。生成代码前先读取该文件。
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.
- 3d ago First seen · 38 lines · 35 tokens per session scan A 873b075917bf
drogon-gen-test is a skill published in the GitHub repository voidvec/drogon-claude-plugin (1 stars, last pushed 6d ago), licensed MIT. It adds 35 tokens to every session and 298 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 2026-08-31.
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