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test-continuity测试连续性

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:test-continuity(测试连续性)
来源仓库:https://github.com/kylnwu/test-continuity
安装命令:
openclaw skills install test-continuity
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install test-continuity

简介

test-continuity 用于管理 OpenClaw 代理对话连续性,判断是否保留上下文。

  • 适合决定自然对话是否转入休闲模式或继续任务执行。
  • 提供结构化信号协议,支持版本化与可审计的操作流程。
  • 安装命令为 openclaw skills install test-continuity,需确认会话管理机制兼容性。
  • 建议在使用前测试不同场景下的上下文切换表现。

SKILL.md

name
personal-hooks
description
>-
version
2.0.21
homepage
https://github.com/redwakame/openclaw-continuity
os
requires
bins
env
metadata
openclaw
os
requires
bins
env
envVars
description
Required path to the dedicated OpenClaw state directory used by this skill for continuity state.
required
true
description
Required path to the OpenClaw config file used for setup validation.
required
true

OpenClaw Continuity

Use this skill as a continuity/follow-up layer on top of an existing OpenClaw agent. Keep the agent's soul/persona intact and let this skill own the structured follow-up mechanics.

Public product name: OpenClaw Continuity. Technical package / slug: personal-hooks. Internal diagnostics may still use staged-followup-memory as a status label for continuity state surfaces. Questions, feedback, or implementation discussion: adarobot666@gmail.com. 如果你期待這個技能持續優化與維護,請在 GitHub 給星支持:https://github.com/redwakame/openclaw-continuity

V2 public scope

  • Route turns into casual_chat, staged_memory, or tracked_followup.
  • Classify tracked content into:

- parked_topic - watchful_state - delegated_task - sensitive_event

  • Maintain event_chain summaries with:

- context_before - event_core - immediate_result - followup_focus

  • Maintain causal_memory as structured continuity state with:

- facts - state - open_loop - time_anchor - followup_focus_code - writeback_policy

  • Promote candidate -> incident -> hook.
  • Preserve /new carryover from the previous 3-5 turns and let the user

choose which continuity anchor leads a new conversation.

  • Preserve voice/image discussion style as a host-neutral preference when the

OpenClaw host already supports those modalities. This skill records the preference only; it does not bundle a voice engine, image model, or channel adapter.

  • Keep hook closure, cooldown, dedupe, dispatch cap, and sleep/rest suppress observable.
  • Write concise daily-memory traces for staged and tracked items.
  • Apply first-run setup facts deterministically from explicit user text.
  • Apply supported guided-settings changes deterministically before the model turn

when the request is clear enough.

  • Keep routine-aware sleep handoff precise: when a night-owl user says they are

going to sleep near sleep_time, and wake_time is still later on the same local day, frame the next natural reconnect as later after waking rather than a generic next-day farewell.

Not in public scope

  • Companionship rhythm / nudge as a default feature.
  • User-configured idle chat frequency.
  • Generic proactive chatting when no tracked continuity exists.
  • Host transport/network reliability fixes.

Trigger conditions

Use this skill when the user is naturally:

  • parking a topic for later
  • asking the agent to hold/remember/track something
  • leaving a watchful emotional or physical state unresolved
  • delegating a task for later follow-up
  • describing a sensitive event that needs later continuity
  • starting a new session that should reattach pending continuity
  • asking whether the agent actually staged/tracked/closed something

Core files

  • Script: scripts/personal_hooks.py
  • Harness: scripts/followup_skill_harness.py
  • Config schema: config.schema.json
  • Sample config: examples/settings.sample.json
  • Docs:

- README.md - docs/call-flow.md - docs/harness.md - docs/live-qa-runbook.md - docs/v2-blueprint.md

Runtime boundaries

  • Keep V2 deterministic and state-backed.
  • Let the skill/tool layer own staging, promotion, closure, and trace.
  • Let frontstage consume structured results; do not rely on the model to invent continuity ad hoc.
  • Treat causal_memory and event_chain as internal structured context, not prewritten frontstage reply text.
  • Do not hardwire relationship-specific push wording into the public package; hosts and models should generate their own natural language from structured context.
  • Treat rhythm/nudge as experimental and disabled by default.
  • Keep language routing explicit. English prompt/guard text should stay English,

and ordinary user phrases must not be rewritten into mixed-language internal artifacts.

  • Do not hard-bind generic UTC/GMT offsets to a city timezone. Explicit IANA

zones should pass through unchanged; generic offsets must stay generic fixed offsets such as UTC+00:00.

  • Prefer language from the current user turn and existing structured state over

a host default. The public package ships first-party zh-TW / zh-CN / English behavior and broad guided-settings entry coverage for a few other common languages; it does not claim full prose localization for every language.

The public skill package does not automatically provide host-side delivery plumbing. Keep this boundary explicit:

  • This package owns continuity state, memory routing, /new carryover, setup,

and skill/tool-layer guards.

  • The OpenClaw host and adapter configuration own final message delivery.
  • Do not advertise a matrix of external chat platforms inside the public skill

copy unless those host adapters are tested separately.

Entry points

  • build_runtime_context()

- Build ordinary-reply continuity context, carryover prompt, schedule context, and guard prompts.

  • intercept_message()

- Inspect one user turn and decide whether it should stay casual, become staged, or become tracked.

  • process_candidate_buffer()

- Promote staged candidates into incidents/hooks when the evidence is strong enough.

  • due / render / complete

- Drive the hook lifecycle.

Use README.md for installation and package usage. Use docs/harness.md for reproducible verification. Use docs/release-acceptance.md for the publication gate. Use docs/live-qa-runbook.md for human channel acceptance. Use docs/v2-blueprint.md only for future design discussion.

Setup & Configuration

First-time setup

If SKILL_ONBOARD.md exists in the workspace root, follow its guided setup flow. Once complete, delete the file.

Modifying settings after setup

When the user asks to change their schedule, care frequency, quiet hours, or other preferences:

  1. Run setup-check to see current state:
   python3 scripts/personal_hooks.py setup-check
  1. Apply only the changed fields via setup-apply:
   python3 scripts/personal_hooks.py setup-apply --payload-json '{"sleep_time":"00:00","wake_time":"09:00"}'

Only include the fields being changed — other fields remain untouched.

Universal natural-language entry

The public package should support one host-agnostic natural-language entry into guided settings mode. This is not platform-specific and should work across any OpenClaw-supported conversation surface.

Recommended entry phrases:

  • Traditional Chinese: 幫我調整關心設定
  • Simplified Chinese: 帮我调整关心设置
  • English: Help me adjust my follow-up settings
  • Japanese: フォローアップ設定を調整して
  • German: Hilf mir, meine Follow-up-Einstellungen anzupassen
  • Italian: Aiutami a regolare le impostazioni di follow-up
  • Spanish: Ayúdame a ajustar mi configuración de seguimiento

When the user says one of these or something equivalent:

  1. enter guided settings mode
  2. run setup-check
  3. ask which category they want to adjust
  4. apply only the changed fields via setup-apply

Do not require platform-specific slash commands.

The skill now also treats explicit command-like entries such as /care setup and /care config as guided-settings triggers at the runtime-context layer, so the setup mode can be re-opened consistently across different OpenClaw hosts.

For capability questions, hosts should also expose:

  • /care capability / /care 功能 / /care 能力
  • /care memory / /care 記憶 / /care 记忆

Users can also change schedule and do-not-disturb behavior through natural language, for example:

  • 我通常早上六點睡,下午兩點半起床
  • 半夜不要主動關心我
  • 把勿擾改成早上六點到下午兩點半
  • Help me make follow-up quieter after midnight

These are not separate memory engines. They are explanation entry points for:

  • whether /new carryover is currently active
  • whether the skill writes daily memory only for staged/tracked items
  • whether the current conversation is ordinary chat, staged memory, or tracked follow-up

Guided categories

Keep the guided categories simple and host-agnostic:

  • schedule / 作息
  • proactive / 主動關心
  • tracking / 追蹤記憶
  • continuity / 新對話承接
  • modality / 語音/圖片延續偏好
  • tone / 互動風格

The user should be able to answer naturally rather than memorize technical keys. The skill should map those answers into settings/profile changes.

Deterministic onboarding apply

For first-install onboarding, the skill must not rely only on model-side classification. When the user explicitly states structured setup facts in normal conversation, the skill should deterministically extract and apply at least:

  • timezone
  • sleep_time
  • wake_time
  • relationship
  • use_case
  • new_session_continuity_mode
  • modality_continuity_mode

These values should be written into:

  • settings.json (routine_schedule)
  • settings.json (new_session_continuity)
  • settings.json (modality_continuity)
  • profile.json (care_style.relationship)
  • USER.md

This makes the setup contract cross-version safe even when model behavior is conservative.

The skill also strips common webchat timestamp prefixes such as [Wed 2026-04-15 05:25 GMT+0] before deterministic parsing so the same setup text behaves consistently across CLI and web hosts.

Trigger phrases (detect and act)

When the user says any of the following, run setup-check and offer to update:

  • 幫我調整關心設定 / 帮我调整关心设置
  • Help me adjust my follow-up settings
  • フォローアップ設定を調整して
  • Hilf mir, meine Follow-up-Einstellungen anzupassen
  • Aiutami a regolare le impostazioni di follow-up
  • Ayúdame a ajustar mi configuración de seguimiento
  • "改我的作息" / "修改作息" / "change my schedule"
  • "改勿擾時間" / "quiet hours" / "do not disturb"
  • "改關心頻率" / "多久關心一次" / "care interval"
  • "改時區" / "change timezone"
  • "新對話承接改成最近 4 輪摘要" / "use recent 4 turns after /new"
  • "新對話改成看最後使用者意圖" / "use the last user intent after /new"
  • "語音或圖片討論延續時跟隨可用能力" / "preserve voice or image discussion when supported"
  • "我搬家了" / "我換工作了" (may affect timezone/schedule)

For English natural-language settings requests, the shared skill should also handle common phrasings such as:

  • turn proactive check-ins on / off
  • checking in every 2 hours
  • retrying after 30 minutes
  • stopping after 2 unanswered check-ins

Available fields

KeyTargetWhat it configures
timezonesettingsTime calculations
sleep_timesettingsSleep phase start
wake_timesettingsSleep phase end
relationshipprofileTone & interaction style
use_caseprofilesupport / developer / tracking
proactive_caresettingsEnable proactive messages
proactive_interval_hourssettingsMinimum re-evaluation interval (hours); actual dispatch depends on guard conditions
quiet_hours_startsettingsDo-not-disturb start
quiet_hours_endsettingsDo-not-disturb end
care_toneprofilewarm / neutral / playful
emoji_forbiddenprofileBanned emoji list
tracking_keywordsprofileTopics to track
heartbeat_enabledsettingsEnable heartbeat
new_session_continuity_modesettingsWhich continuity anchor leads after /new
modality_continuity_modesettingsHow voice/image discussion style should carry over when the host supports it

New-session continuity constraints

  • Guided-settings or operator-feedback text must not become the main /new

continuity anchor.

  • A bare hi immediately after /new should be treated as a low-information

acknowledgement of the selected continuity opener, not as a fresh time-of-day small-talk reset.

  • Time-state is a tone modifier, not a replacement for the selected continuity

anchor.

  • /new capability is part of the public V2 package. If asked directly, the

skill should answer concretely that it preserves carryover from the previous 3–5 turns and tries to reattach the most relevant unresolved thread.

  • daily memory writeback is also part of the public V2 package, but it is not

"write every line". Ordinary chat can stay casual-only; staged/tracked items write a daily memory trace.

Policy surface (advanced — via settings.json)

Key pathDefaultWhat it controls
re_engagement.modewait_for_replyAfter dispatch without reply: wait or timed retry
re_engagement.retry_after_hours4Hours before retrying a parked hook (timed_retry mode only)
re_engagement.max_unanswered_before_park2Dispatches without reply before parking
candidate_ttl_hours.emotion24Candidate buffer TTL for emotion signals (hours)
candidate_ttl_hours.task168Candidate buffer TTL for task signals (hours)
temporal_guard.newer_interaction_minutes5User interaction recency threshold for blocking dispatch
followup.parked_auto_close_hours0Auto-close parked hooks after N hours (0=disabled)
sleep_rest_suppress.auto_clear_hours4Auto-clear rest-suppress fallback (0=only on resume)
causal_memory.summary_max_facts3Maximum factual clauses preserved in internal causal summaries
causal_memory.include_time_anchortrueInclude extracted temporal anchors in internal causal summaries
causal_memory.include_state_markertrueInclude neutral state markers in internal causal summaries

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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