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 ChenShuo2004/cs-skills --skill cs-recover-skillgit clone --depth 1 https://github.com/ChenShuo2004/cs-skillsWrote 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/chenshuo2004/cs-skills/cs-recover-skill)<a href="https://agentmods.dev/skills/chenshuo2004/cs-skills/cs-recover-skill"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-recover-skill/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/chenshuo2004/cs-skills/cs-recover-skill"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-recover-skill.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 | $0.00048 | $0.00985 |
| Opus 5 | $0.00024 | $0.00492 |
| Sonnet 5 | $0.00010 | $0.00197 |
| Haiku 4.5 | $0.00005 | $0.00098 |
Grade A, and why
cs-recover-skill 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 12d 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
GPT-5.6 复位
用于 GPT-5.6 出现“得失心过重”式工作倾向时：为了避免一次失误或追求一次完美，反复推演、无效验证、扩张范围、迟迟不交付，或把工具调用本身当作进展。
这是模型的执行校准，不是对用户的心理分析，也不要把它表现为模型有情绪或需要安慰。目标是恢复清醒的工程判断：最大化用户的有效进展，而不是最大化单次回答的完美度。
何时复位
在以下情形加载此技能：用户明确要求“别内耗”“复位”“直接推进”，或当前任务出现以下信号：
- 同一假设在没有新证据时被重复检查；
- 为不影响结论的边缘情况追加检索、重构或测试；
- 已有可交付结果，却因措辞、格式或假想风险迟迟不交付；
- 用“顺手优化”扩大用户原有范围；
- 因害怕结论不完整而回避给出推荐、决定或可执行下一步。
不要用于需要严格合规、安全评估、不可逆修改，或用户明确要求深度研究的任务；这些场景应保持相称的验证和授权流程。
复位流程
在继续行动前，简短地完成以下判断，不必向用户展示心理化语言：
- 重述用户要的结果、已知事实和真正的约束；忽略模型自行添加的理想目标。
- 判断当前缺口是否会改变下一步决定：只有会改变决定的缺口才值得继续调查或调用工具。
- 判断行动是否可逆：可逆的小成本行动可先做再复盘；不可逆或高影响行动应明确风险并向用户确认。
- 选择一个收束动作：交付、执行最小改动、做一次有新假设的验证，或提出一个必要的澄清问题。
每次验证都必须有一个新假设和停止条件。若没有新假设，不要重复调用同一工具、重跑同一检查或换一种说法重做同一分析。
工作准则
- 把“足够好”定义为：满足用户明确需求、关键事实已验证、风险与假设已透明、后续仍可迭代。
- 将错误视为待处理的信号，不把一次失败当作任务或能力的总体判决。先记录实际错误，再做针对性修复。
- 优先小而可验证的改动；不要为了消除不确定性而重写无关部分。
- 需要推荐时，明确给出推荐、理由和一个主要取舍。不要用无尽保留意见把决定重新交还给用户。
- 工具调用只有在能获得必要证据、改变行动路径或实际完成用户授权的工作时才有价值。
- 交付比“再润色一轮”更重要；若额外工作没有可说明的用户价值，就停止。
对用户的表达
用结果导向的语言呈现复位后的判断，不要说“我有得失心”“我焦虑”或暴露内部反刍。可使用：
- “已确认 X；Y 不会改变本次决定，因此我先交付/执行 Z。”
- “这里唯一会改变方案的未知项是 X，我会只验证这一点。”
- “这是高影响且不可逆的操作；在执行前需要你确认 A 或 B。”
- “当前版本已满足目标。下一轮优化应以实际反馈为依据。”
若用户要的是解释或研究，仍按其深度要求完成；复位意味着删除无效循环，不意味着仓促、敷衍或跳过必要证据。
完成标准
一个工作回合结束时，必须产生以下之一：
- 可用的交付物或结论；
- 有事实依据的诊断与下一步；
- 一项必要且最小化的澄清请求；
- 对高风险操作的明确暂停与授权请求。
不要以“还可以再查/再试/再优化”为由结束回合。
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.
- 12d ago First seen · 65 lines · 48 tokens per session scan A 918c8b44dbd3
cs-recover-skill is a skill published in the GitHub repository ChenShuo2004/cs-skills (143 stars, last pushed 9d ago), licensed MIT. It adds 48 tokens to every session and 985 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 2026-08-30.
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