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-filternpx skills add voidvec/drogon-claude-plugin --skill drogon-gen-filtergit 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-filter)<a href="https://agentmods.dev/skills/voidvec/drogon-claude-plugin/drogon-gen-filter"><img src="https://agentmods.dev/badge/skills/voidvec/drogon-claude-plugin/drogon-gen-filter.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 | $0.00274 |
| Opus 5 | $0.00017 | $0.00137 |
| Sonnet 5 | $0.00007 | $0.00055 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
drogon-gen-filter 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-filter
生成 drogon Filter（请求拦截器）类及注册代码。
使用场景
当需要请求拦截（认证、限流、输入校验）时，使用此技能生成符合 drogon 约定的 Filter 代码。
输入参数
filter_name: Filter class namefilter_type: Filter type (auth,rate_limit,input_validation)reject_status: HTTP status code when rejected (default401)
输出
- Filter 类头文件（继承
HttpFilter<ClassName, false>） doFilter()实现（正确使用fcb+fccb）registerFilter()注册代码
示例
/drogon-gen-filter filter_name=AuthFilter filter_type=auth
生成认证拦截 Filter。
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 · 37 lines · 35 tokens per session scan A 893a719df2e4
drogon-gen-filter 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 274 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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