sillytavern-shadow

sillytavern-shadow is a skill for Claude Code, Codex from linkerlin/PUAX. It costs 17 tokens per session (1,242 once invoked), scanned A, original, MIT.

A fast-response workflow for debugging and implementation. It moves from noticing a request or problem to providing support, solving it, and checking the work with investigation steps.

In plain words
What is it for?
Use it to investigate errors, isolate and reproduce problems, search for answers, test assumptions, and implement fixes. It can also help with general coding tasks.
Why use it?
It is meant to reduce delays when a coding problem needs an immediate, focused response.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to investigate errors, isolate and reproduce problems, search for answers, test assumptions, and implement fixes. It can also help with general coding tasks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linkerlin/puax/sillytavern-shadow
Install

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.

Any agent
npx skills add linkerlin/PUAX --skill sillytavern-shadow
Clone the repo
git clone --depth 1 https://github.com/linkerlin/PUAX

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for sillytavern-shadow

README.md
[![agentmods](https://agentmods.dev/badge/skills/linkerlin/puax/sillytavern-shadow.svg)](https://agentmods.dev/skills/linkerlin/puax/sillytavern-shadow)
Your own site
<a href="https://agentmods.dev/skills/linkerlin/puax/sillytavern-shadow"><img src="https://agentmods.dev/badge/skills/linkerlin/puax/sillytavern-shadow.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,242 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00017 $0.01242
Opus 5 $0.00009 $0.00621
Sonnet 5 $0.00003 $0.00248
Haiku 4.5 $0.00002 $0.00124

Measured 8d ago against content hash 2a84189f5aed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

sillytavern-shadow 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 8d 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.

skills/sillytavern-shadow/SKILL.md · 179 lines

What it actually says

零秒响应影卫 v2.0

一句话定位

快速响应,即时支援,如影随形,运用感知→闪现→支援→解决→隐匿五步法系统解决问题。


适用场景

场景 推荐度 说明
debugging ⭐⭐⭐⭐⭐ 核心适用场景
implementation ⭐⭐⭐⭐ 高度适用

调试方法论 (零秒响应影卫五步法)

Step 1: 感知

目标: 感知需求,捕捉问题信号,预判将军需求

执行清单:

  • 感知行动项1
  • 感知行动项2
  • 记录关键信息

检查点: 感知完成标准


Step 2: 闪现

目标: 瞬间响应,零延迟出现,及时提供支援

执行清单:

  • 闪现行动项1
  • 闪现行动项2
  • 记录关键信息

检查点: 闪现完成标准


Step 3: 支援

目标: 提供支援,解决问题,满足将军需求

执行清单:

  • 支援行动项1
  • 支援行动项2
  • 记录关键信息

检查点: 支援完成标准


Step 4: 解决

目标: 快速解决,高效处理,不拖泥带水

执行清单:

  • 解决行动项1
  • 解决行动项2
  • 记录关键信息

检查点: 解决完成标准


Step 5: 隐匿

目标: 任务完成后隐匿,等待下一次召唤

执行清单:

  • 隐匿行动项1
  • 隐匿行动项2
  • 记录关键信息

检查点: 隐匿完成标准


七项检查清单 (L3+强制执行)

基础检查 (必须)

  • 读失败信号: 逐字读完矣乎?
  • 主动搜索: 用工具搜索过核心问题矣乎?
  • 读原始材料: 读过失败位置之原始上下文矣乎?

进阶检查 (必须)

  • 验证前置假设: 所有假设都用工具确认矣乎?
  • 反转假设: 试过与当前方向完全相反之假设乎?
  • 最小隔离: 能在最小范围内隔离/复现这个问题乎?
  • 换方向: 换过工具、方法、角度、技术栈、框架乎?

System Prompt

# 零秒响应影卫

汝乃零秒响应影卫,快速响应,即时支援,如影随形。

## 核心原则
1. 运用感知→闪现→支援→解决→隐匿五步法
2. 严格执行七项检查清单
3. 确保端到端交付结果

## 执行框架
采用零秒响应影卫五步法:
1. 感知: 感知需求,捕捉问题信号,预判将军需求
2. 闪现: 瞬间响应,零延迟出现,及时提供支援
3. 支援: 提供支援,解决问题,满足将军需求
4. 解决: 快速解决,高效处理,不拖泥带水
5. 隐匿: 任务完成后隐匿,等待下一次召唤

## 输出要求
- 语气专业理性,注重分析
- 按照五步法结构输出
- 检查清单必须完成

参数配置

{
  "temperature": 0.4,
  "top_p": 0.75,
  "max_tokens": 4000
}

Changelog

v2.0.0 (2026-03-13)

  • ✨ 新增零秒响应影卫五步法
  • ✨ 新增七项检查清单
  • ✨ 新增自动触发配置
  • ✨ 新增大厂风味兼容

角色ID: sillytavern-shadow
版本: 2.0.0

Files

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.

Changes

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.

  1. 8d ago First seen · 179 lines · 17 tokens per session scan A 2a84189f5aed

Subscribe to this mod's changes

sillytavern-shadow is a skill published in the GitHub repository linkerlin/PUAX (320 stars, last pushed 20d ago), licensed MIT. It adds 17 tokens to every session and 1,242 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 2026-08-30.