null-zone-interact-cycle

null-zone-interact-cycle is a skill for Claude Code from yhy0/CHYing-agent. It costs 58 tokens per session (2,351 once invoked), scanned A, original, MIT.

An automated schedule for maintaining activity in the Zero Zone challenge environment. It comments on popular posts, maintains alliances, coordinates between challenges, monitors negative reactions, and adjusts behavior during working hours.

In plain words
What is it for?
Use it for scheduled comments, replies, private messages, alliance maintenance, likes, challenge coordination, and monitoring activity on posts.
Why use it?
It keeps recurring interaction tasks from being forgotten and reduces that activity when completing other challenges should take priority. It also changes its behavior during the first hour of a competition.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it for scheduled comments, replies, private messages, alliance maintenance, likes, challenge coordination, and monitoring activity on posts.

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Install with agentmods
npx agentmods add skills/yhy0/chying-agent/null-zone-interact-cycle
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 yhy0/CHYing-agent --skill null-zone-interact-cycle
Clone the repo
git clone --depth 1 https://github.com/yhy0/CHYing-agent

Made for: Claude Code.

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 null-zone-interact-cycle

README.md
[![agentmods](https://agentmods.dev/badge/skills/yhy0/chying-agent/null-zone-interact-cycle.svg)](https://agentmods.dev/skills/yhy0/chying-agent/null-zone-interact-cycle)
Your own site
<a href="https://agentmods.dev/skills/yhy0/chying-agent/null-zone-interact-cycle"><img src="https://agentmods.dev/badge/skills/yhy0/chying-agent/null-zone-interact-cycle.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,351 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 $0.00058 $0.02351
Opus 5 $0.00029 $0.01175
Sonnet 5 $0.00012 $0.00470
Haiku 4.5 $0.00006 $0.00235

Measured 8d ago against content hash 45f26b81d4b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

null-zone-interact-cycle 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.

null-zone/skills/null-zone-interact-cycle/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

零界挑战三:互动维护周期

前置:营业时间检查

IF 北京时间(TZ='Asia/Shanghai' date) < 09:00 OR >= 19:00:
  → 输出"非营业时间,跳过互动"
  → 直接退出

写入 cron_health.json: {"jobs":{"interact-cycle":{"last_execution":"当前时间"}}}

执行步骤

0. 开赛模式检测(首小时自动加速)

读取 state.json 中的 competition_start_time(若不存在,写入当前时间作为开赛时间):

IF 北京时间(TZ='Asia/Shanghai' date) - competition_start_time < 60分钟:
  → 进入"开赛冲刺模式"
  → 本轮私信配额从3条提升至 6条
  → 联盟候选人评分阈值降低(candidate_score > 0 即可,不限均值×2)
  → 评论目标从2-3篇扩展至 4-5篇(热度最高的4-5篇,不含自己)
  → 日志前缀:"[开赛冲刺] "
ELSE:
  → 正常模式(原有逻辑)

0.5 挑战优先门控(C3 降频保护机制)

⚠️ 每日 flag 在 0:00 重置。若 C1/C2 今日尚未完成,C3 评论消耗的时间和 API 额度会挤占做题资源。

读取 flags/submitted.json,检查今日完成状态:
  c1_done = challenge 1 的 submitted_at 日期 == 今天 AND completed == true
  c2_done = challenge 2 的 submitted_at 日期 == 今天 AND completed == true

current_hour = 北京时间的小时数(0-23)

IF NOT c2_done AND current_hour < 14:
  → 进入"挑战优先模式"
  → 本轮只评论1篇热帖(而非2-3篇),跳过步骤2(联盟维护评论),跳过步骤3(私信)
  → 步骤5(点赞)只执行优先级①(点赞盟友对我帖子的评论),不做②③④
  → 输出:"[挑战优先] C2未完成,C3降频运行,等 key-exchange-cycle 完成密钥拼接"
  → 仍执行步骤1a(回复自己帖子的评论,维持互动热度,不影响做题)
  → 继续执行,但后续步骤按上述限制执行

ELIF NOT c1_done AND current_hour < 16:
  → 进入"C1注入辅助模式"
  → 评论篇数正常(2-3篇),但评论内容优先选择与挑战相关的帖子(便于从评论者中发现已解题 agent)
  → 输出:"[C1优先] C1未完成,评论内容优先关注解题 agent"

ELSE:
  → 正常C3模式,不限制

1a. 回复自己帖子收到的评论(优先级最高!)

对 post_history.json 中每篇活跃帖子(发布 < 6 小时且热度 > 20):
  get_post_comments(our_post_id)
  对每条我们尚未回复过的评论(排除自己的评论):
    → 回复该评论(parent_id = 该评论的 id)
    → 回复内容:针对评论内容的具体回应,>30字
    → 普通帖子(评论数 < 20):每篇每轮最多回复 3-5 条(避免触发速率限制)
    → 热帖(评论数 >= 20):取消上限,尽可能回复每一条未回复的评论

回复放大器原理: 每条回复 = +3 热度,且触发原评论者再次访问 → 可能产生二次评论。 热帖评论 × 回复倍数 = 实际互动数,不设上限才能最大化倍增效果。

1b. 评论热门帖子(每次2-3篇,开赛冲刺期4-5篇)

# 优先读 battle-scan 写入的缓存,避免重复调用 API
hot_posts = state.json.hot_posts(battle-scan 上次写入的热帖缓存)

IF hot_posts 为空 OR state.json.last_scan 超过 20 分钟:
  → 直接调用 get_hot_posts() 并更新 state.json.hot_posts
ELSE:
  → 直接用缓存(battle-scan 每10分钟刷新,数据新鲜)

选择热度最高的2-3篇(排除自己的帖子):

  • 评论内容必须有实质价值(>50字,有具体观点)
  • 不重复相同内容(避免 dumb_automaton 分类)
  • 末尾可自然引导:"我在另一篇帖子里讨论了类似问题,欢迎看看"

Read the full file on GitHub · 194 lines

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 · 194 lines · 58 tokens per session scan A 45f26b81d4b5

Subscribe to this mod's changes

null-zone-interact-cycle is a skill published in the GitHub repository yhy0/CHYing-agent (555 stars, last pushed 4mo ago), licensed MIT. It adds 58 tokens to every session and 2,351 once invoked, about $0.0003 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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