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 xwcai999/opencreator-novel --skill wawa-sourcegit clone --depth 1 https://github.com/xwcai999/opencreator-novelWrote 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/xwcai999/opencreator-novel/wawa-source)<a href="https://agentmods.dev/skills/xwcai999/opencreator-novel/wawa-source"><img src="https://agentmods.dev/badge/skills/xwcai999/opencreator-novel/wawa-source/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/xwcai999/opencreator-novel/wawa-source"><img src="https://agentmods.dev/badge/skills/xwcai999/opencreator-novel/wawa-source.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.00669 |
| Opus 5 | $0.00019 | $0.00334 |
| Sonnet 5 | $0.00008 | $0.00134 |
| Haiku 4.5 | $0.00004 | $0.00067 |
Grade A, and why
wawa-source 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 10d 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
蛙蛙统计快照
本 Skill 只处理用户已经放在本地的、版本化 JSON 快照。它把快照当作“某个时间点的脱敏数据副本”，不代表蛙蛙写作官方接口、实时页面或平台认可的数据来源。
能力边界
- 读取本地 JSON，检查
schema_version、时间戳、TTL、数值范围、作品和趋势字段。 - 计算作品数、章节/字数、追读与收益汇总，以及 7/30/90 天窗口趋势。
- 默认输出脱敏视图：移除账号标识、远端作品 ID、书名、作者信息、路径和其他可识别字段，只保留匿名作品序号与统计值。
- 过期或无效快照必须显式标记，不能把旧快照包装成实时结果。
- 允许上层 Dashboard 消费聚合结果；Dashboard 应展示快照时间、过期状态和来源类型。
明确禁止
本 Skill 不联网，不实现浏览器自动化，不登录，不读取或保存 Cookie、密码、Token，不上传正文/封面，不提交作品，也不从页面推断缺失字段。任何“抓取”需求都必须先取得平台授权，并在本 Skill 之外设计独立连接器；当前版本没有该连接器。
快照工作流
- 读取
references/snapshot-schema.md，确认输入是wawa.stats.v1契约。 - 使用
scripts/wawa_snapshot.py的load_snapshot或 CLI 导入本地 JSON；校验失败立即停止，不继续使用部分字段。 - 以明确的
now（生产默认当前时间，测试使用固定时间）执行 TTL 判断。过期快照可以被诊断，但不能进入“新鲜数据”路径。 - 对需要展示或写入报告的内容调用
redact_snapshot，再调用aggregate_snapshot生成 Dashboard 所需统计。 - 输出中同时保留
captured_at、expires_at、freshness、source.kind和校验错误/警告；不要只输出一组孤立数字。
CLI 示例（仅本地文件）：
python <本 Skill 目录>/scripts/wawa_snapshot.py validate <快照.json> --now 2026-08-18T12:00:00+08:00
python <本 Skill 目录>/scripts/wawa_snapshot.py aggregate <快照.json> --redact --json
python <本 Skill 目录>/scripts/wawa_snapshot.py dashboard <快照.json> --days 30 --json
wawa-submission 可以选择性消费同一份快照，但统计快照不能补充或覆盖投稿材料、字数、笔名、类目或页面校验结果。
What ships with it
3 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.
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.
- 10d ago First seen · 39 lines · 39 tokens per session scan A 685b30fa3d90
wawa-source is a skill published in the GitHub repository xwcai999/opencreator-novel (10 stars, last pushed 3d ago), licensed Apache-2.0. It adds 39 tokens to every session and 669 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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