检查1Password命令行工具的安装和认证,将已保存的密码或API密钥传入命令及配置。支持桌面应用集成、服务账号和交互式登录,并先验证访问权限。
- 安装1Password命令行工具
- 将API密钥传入命令
- 在CI中使用服务账号认证
按选定范围检查知识声明,将其关联到最具体的主题页面,整合重复、已被替代或过时的状态记录,更新长期有效的页面内容,并报告变更和待判断事项。
Review and consolidate Knowledge claims over a chosen scope - the unlinked residue after relinking, the claims on one hub or over-budget page, or the claims about one subject since a date. File claims on their most specific subject page, create pages for substantial subjects, retire duplicates, supersede status snapshots and replaced claims by an existing claim, and fold durable outcomes into page State. Use for claim cleanup, consolidation, or the Knowledge Consolidation scribe.
实测评分 未实测
查看安装方法此技能会检查指定范围内的知识声明,并将每条记录关联到最贴合主题的页面。范围可以是尚未关联页面的记录、某个页面上的记录,或指定日期之后关于某一主题的记录。它会先按主题分组,再整合重复声明,并保留有用的依据;对于被后续更正取代的声明,以及已有最终结果的事项中的阶段状态,也会按规则归并。若某个主题需要独立页面,技能可以创建页面,并将长期有效的决定和结果写入页面正文。最后会检查处理结果,报告检查范围、变更内容和仍待判断的事项。
记录不断增加、难以找到内容所在页面时,可以用它整理知识。它也适合拆分中心页面中混杂的主题,或清理重复事实和已经过时的进展记录。对于无法确定主题归属或替代关系的记录,技能会保留原状并说明原因。
写入前需要阅读共享约定和发布流程资料。关联及更新记录时,技能使用文档中说明的 knowledge_* 操作。如果主题身份、重复关系或替代关系不确定,就不会修改该记录,而会在报告中说明。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月28日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Read shared conventions and publication before writes.
Claims accumulate faster than pages are curated. knowledge_remember saves a
claim without a subject page when no name in it matches exactly one page, and
scheduled maintenance's knowledge_relink links only claims whose source page
is an entity page or whose text names exactly one page. Linked claims pile up
too: a hub page collects status snapshots, duplicates and claims that belong on
a more specific subject. This review runs one procedure over a chosen scope.
Work in this order: choose the scope, link, then duplicates, replaced claims
and snapshot series, then page prose.
Call knowledge_status for the intended scope and knowledge_ontology for the
current fingerprint. Then enumerate exactly one starting set:
knowledge_relink without dryRun first so every remembered claim it can
link is linked. Then list the residue with knowledge_relink dryRun: true,
include: "all" and limit: 10, following nextCursor: every current
claim with no linked page and no source page, whichever tool saved it. Each
call reports at most 10 examples per outcome, so a limit of 10 returns every
claim it examined.knowledge_connections id, direction: "claims",
view: "full" and includeCards: true, following nextOffset with the
same filters. Restart when snapshot changes. On a hub, group from the cards
first and work one group at a time; do not read every claim in full up front.knowledge_timeline entity, timeField: "recorded_at"
and since, following nextOffset. Also search for claims filed elsewhere
or unlinked with knowledge_grep kind: "claim", the subject's
distinctive names (a PR number, a commit SHA, a feature name) and the same
since/timeField. Keep only claims that are actually about the subject.State the scope in the report. Read each claim you will change with
knowledge_record and metadataView: "full". Its subject_hint, when
present, is the saver's own description of what the claim is about and the
strongest clue to its subject. Group the claims by what they are about (one
feature, PR, commit, decision thread, person or preference) before choosing
pages. Most claims make sense only next to their neighbours: a series of
status snapshots about one PR usually ends in an outcome claim.
For each group, find candidate pages with knowledge_grep and
knowledge_lookup, and read their State and Timeline. Ignore withdrawn pages and
fixture pages.
entities. Add a secondary subject only when the claim also states
something about that entity, such as the person who made the decision or the
company whose product was configured. A passing mention is not a subject. Two
or three subjects is usually enough.Link with knowledge_annotate entities, passing the complete list (it replaces
the existing one) and the claim's current revision and hash. Assertion text,
evidence and lifecycle stay unchanged. Link a claim before you supersede it:
superseded claims cannot be relinked.
Linking every claim to the nearest existing page can bury a real subject in a broad page's Timeline. Create a page when:
gh pr view).Do not create a page for a single mention or a one-off fix that a Timeline entry
covers. Use knowledge_save_page with the ontology type, aliases, and the
identity evidence as source. Person pages use identity.status: partial unless
the identity is fully established. Write a short State that cites the claims and
a dated Timeline. Link the new page from its parent page.
Then relink the group's claims, including the snapshots step 4 will supersede. The new page becomes each claim's primary subject. Keep the broad page the claims were filed on (often the hub this review started from) only for claims that say something about it, by the rule in step 2; drop it from the rest. Keep other existing secondary subjects that still qualify. Under the threshold, leave the claims on their current pages.
knowledge_annotate addEvidence, then knowledge_withdraw the
other with a reason that names the survivor's ID.knowledge_supersede, with a reason that says what replaced it. Do not use
knowledge_correct here: it publishes a new copy of the replacement, which
creates another duplicate.knowledge_supersede call (up to 25 claims).
All of these must hold, from the claims' own text and dates:
knowledge_supersede keeps every superseded claim's text, evidence, provenance
and history, records superseded_by and the reason on it, and leaves the
superseding claim unchanged. Default reads stop showing superseded claims;
historical reads (historical: true, lifecycle: "all") and
knowledge_history still do. If a supersession was wrong, call it again with
undo: true, the same by claim and the fences from its receipt's items.
Linking makes the claims reachable from their pages; it does not change what a page says. Edit a page only when the claims change its durable state: a decision, a preference, a landed or released change, a new capability, a resolved open question, or page text that later claims show to be wrong.
gh pr view for merge state) and say when you checked. A merge is not a
deployment, and a deployment is not proof that a given Gateway runs the code.[[claim-id|label]] links to the claims.state: "rejected"
edit saved nothing, but the linked claims already hold the facts. Move a
section to its subject's page with knowledge_extract_section (creating the
page per step 3 when needed), reread, and retry. Never shorten other prose to
make room. Extraction makes the destination the first subject of the claims
the section cites and keeps their existing subjects, including the page you
extracted from. Apply step 2 to each of those claims and drop the source page
with knowledge_annotate entities where the claim says nothing about it.Use knowledge_edit_body for section edits. Compute UTF-16 offsets from a fresh
full read, and reread the revision and hash before every edit: other sessions
edit busy pages concurrently. Prefer inserting text over replacing it. Replace a
whole State section only when all of it is stale, and keep the claim links it
already had.
Run knowledge_verify with expectedEntities for each linked claim and
expectedLinks for each new or edited page. Enumerate the scope again: new
claims may have arrived while you worked. Handle them the same way or report
them.
Report the scope, the number of claims examined, linked and relinked, pages created, claims superseded (with the superseding claim for each series), claims withdrawn (with the surviving claim for each), pages edited, and claims left unchanged that you considered, with the reason for each. When running unattended, never ask for a decision and never guess: leave uncertain identities, uncertain duplicates, snapshot series whose outcome is not certain, and pages you would only create on a guess untouched, and list them in the report for a person.
The Knowledge Consolidation scribe runs this review unattended over the unlinked residue, on the schedule in its prompt. Its prompt checks access and sets up its automation; this section is only the work of one run.
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检查1Password命令行工具的安装和认证,将已保存的密码或API密钥传入命令及配置。支持桌面应用集成、服务账号和交互式登录,并先验证访问权限。
将提交给OpenClaw的自然语言请求转交给Claude Code等外部编程智能体,通过ACP或acpx启动、继续会话,并保留对话上下文。
为OpenClaw添加模型服务商,并通过实际回复验证连接。凭据以环境变量或文件引用的形式配置,同时验证设置并报告测试结果。
将AI代理的工作日志整理为可附在GitHub拉取请求或议题中的记录,筛选相关内容、移除敏感信息,并支持预览及经单独授权后的发布。
通过代理管理macOS上的Apple Notes笔记,支持创建、查看、搜索、编辑和删除,在文件夹之间移动笔记,并将选定笔记导出为HTML或Markdown。
通过Mac查看、添加和编辑Apple Reminders中带截止时间的待办事项,管理列表并完成或删除任务,整理在iPhone或iPad上查看的个人任务。