1Password CLIの導入と認証を確認し、保存したパスワードやAPIキーをコマンドや設定へ渡します。デスクトップ連携やサービスアカウントにも対応します。
- 1Password CLIを導入したいとき
- APIキーをコマンドに渡したいとき
- CIでサービスアカウント認証を使う
対象範囲の知識クレームを整理し、適切なページへの紐付け、重複や古い状態記録の統合、ページ本文の更新まで進めるスキルです。
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.
実行スコア 未検証
インストール方法を見る指定した範囲にある知識クレームを確認し、内容に最も合う対象ページへ紐付けます。範囲は、紐付け後に残った未リンクのクレーム、ハブなど特定ページ上のクレーム、ある主題について指定日以降に記録されたクレームから選びます。対象をグループ分けし、重複は根拠を残して整理し、後の記録に置き換えられた主張や、最終結果が出た案件の途中経過を適切に統合します。必要に応じて主題ページを作成し、判断や確定した成果など長く有効な情報をページ本文に反映します。最後に確認を行い、調査数や変更内容、判断を保留した項目を報告します。
記録が増えて、どのページに何があるか分かりにくくなったときに役立ちます。ハブページに集まった細かな話題を分けたい場合や、同じ事実の重複、古い進捗記録を整理したい場合にも向いています。判断に確信が持てないものは無理に変更せず、理由とともに報告する手順です。
書き込みの前に共有規約と公開手順の資料を読む必要があります。記録の紐付けや更新には、本文に記載された knowledge_* 操作を使います。対象の同定や重複・置き換えが不確かな場合は変更せず、報告に残します。
この紹介文は、公開されている SKILL.md をもとに AI(OpenAI Codex)が作成しました。正確な仕様は下の原文を確認してください。
SKILL.md の記述から、注意が要る操作と導入の前提を AI が確認しました。点数は実際に動かした結果(実行検証)だけで付けています。
点数には入れていません。 2026年10月28日 時点で AI(OpenAI Codex)が判定しました。目安なので、入れる前に原文も確認してください。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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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ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
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1Password CLIの導入と認証を確認し、保存したパスワードやAPIキーをコマンドや設定へ渡します。デスクトップ連携やサービスアカウントにも対応します。
OpenClawへの自然な言葉の依頼をClaude Codeなどの外部コーディングエージェントへ振り分け、作業の開始や継続、スレッド内の会話をつなぐスキルです。
OpenClawにモデル提供サービスを追加し、実際の応答まで確認するスキル。認証情報は環境変数やファイルへの参照で扱い、設定の検証と結果報告も進めます。
AIエージェントの作業ログから、GitHubのPRやissueに添える記録を作ります。関連部分を絞り、機密情報を除いてプレビューと掲載を扱います。
macOSのApple Notesをエージェントから作成・検索・編集・削除し、フォルダ間の移動やHTML・Markdownへの書き出しを行うスキル。
Apple Remindersの予定付きToDoをMacから確認・追加・編集するスキル。リストの管理や完了・削除にも対応し、iPhoneやiPadで見るタスクを整理できます。