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.
git clone --depth 1 https://github.com/zhaixin244-wq/fnwWrote 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/commands/zhaixin244-wq/fnw/wiki-save)<a href="https://agentmods.dev/commands/zhaixin244-wq/fnw/wiki-save"><img src="https://agentmods.dev/badge/commands/zhaixin244-wq/fnw/wiki-save/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/commands/zhaixin244-wq/fnw/wiki-save"><img src="https://agentmods.dev/badge/commands/zhaixin244-wq/fnw/wiki-save.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 | $0.00000 | $0.00245 |
| Opus 5 | $0.00000 | $0.00122 |
| Sonnet 5 | $0.00000 | $0.00049 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
wiki-save 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
Wiki Save — 会话归档
将当前会话的关键信息归档到 wiki 系统。
执行流程
-
提取会话摘要：回顾本次会话的：
- 讨论的知识点
- 做出的设计决策
- 生成/修改的文档
- 发现的问题和解决方案
-
更新 Hot Cache：刷新
wiki/hot.md中的：- 当前工作上下文
- 最近修改的页面
- 会话记忆摘要
-
创建新页面（如需）：如果会话中产生了新的知识点：
- 生成结构化 wiki 页面
- 添加到对应目录（entities/concepts/comparisons）
- 更新交叉引用
-
更新索引：更新
wiki/index.md
参数
$ARGUMENTS— 可选，指定归档标题
使用示例
/wiki-save # 自动归档
/wiki-save "PCIe Gen6 FEC 机制分析" # 指定标题
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 · 35 lines · 0 tokens per session scan A 75a230be1803
wiki-save is a command published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 245 tokens. 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.