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knowledge-unlinked-claims

整理Knowledge中自动重连后仍未关联的记录,依据证据选择主题页面,必要时新建页面,并处理重复或已被明确替代的记录。长期有效的结论会附上记录链接后写入页面。

原文查看原文说明

Review remembered Knowledge claims still unlinked after deterministic relinking. Assign subject pages, create pages for substantial missing subjects, retire exact duplicates and explicitly replaced claims, and fold durable outcomes into page State. Use for unlinked-claim cleanup or the scheduled review that follows Knowledge maintenance.

openclaw/openclaw星标 393,134(GitHub 393,134 + cccskills 0)
集成工具GitHub

实测评分 未实测

查看安装方法

适用场景

  • 把未关联记录连到主题页面
  • 整理公关或决策记录
  • 处理重复或已替代的记录
  • 定期检查未关联记录

中文介绍

功能

此技能检查Knowledge自动重连后仍未关联的记录,按主题归组,并查看相关页面及其历史,再将记录关联到证据支持的页面。若某个重要主题尚无页面,可以创建页面并关联到上级页面。它还会识别内容完全重复的记录,以及被后续记录明确纠正、补充结论或报告最终状态的记录;撤销旧记录时会注明理由。决策、已完成的变更等长期有效的结果,可以连同支持它们的记录链接写入页面状态。进度快照保留在时间线中,不作为长期状态写入。

适用场景

当未关联记录不断增加,相关页面又无法引用它们时,可以使用此技能。它也适合整理某项公关记录或决策的来龙去脉,同时保留历史。如果主题或身份无法确定,记录会保持未关联,并报告原因。作为定期检查运行时,它会再次查看剩余记录,并报告需要人工判断的项目。

使用示例

  • “检查Knowledge中的未关联记录,并在证据明确时关联到主题页面。”
  • “整理这项公关相关的记录,包括重复内容和最终结果。”
  • “定期检查未关联记录,并报告需要判断的项目。”

注意事项

设置定期检查需要使用能够访问所有者私有Knowledge的会话。写入前会先查看共享规范和发布流程。

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。

文档检查

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)。

安全性发送数据、删除文件、执行命令等是否有说明
A良好不确定的记录会保留未关联状态;写入前查看规范,并重新读取修订版和哈希值。
安装难易度所需工具和 API 密钥是否少且有说明
B部分不足定期检查需要访问所有者私有Knowledge;提供的设置说明不完整。

不计入评分。 由 AI(OpenAI Codex)于 2026年10月26日 评估。仅供参考,安装前请同时查看原文。

如果您认为评估有误,请申请复核

请写明哪一项有误以及原因。无需登录。我们会对照 SKILL.md 重新评估,并在此处更新结果。

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

包含的文件(13)

  • SKILL.md9.2 KB
  • references/assertions.md4.6 KB
  • references/conventions.md14.3 KB
  • references/identity.md4.8 KB
  • references/meeting-entity-example.md6.8 KB
  • references/profiles.md2.8 KB
  • references/publication.md22.1 KB
  • references/publish.md3.0 KB
  • references/recovery.md2.0 KB
  • references/setup.md1.7 KB
  • references/sources.md3.0 KB
  • references/verify.md2.7 KB
  • references/writing.md1.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Review unlinked claims

Read shared conventions and publication before writes.

knowledge_remember saves a claim without a subject page when no name in it matches exactly one page. Scheduled maintenance then runs knowledge_relink, which links only claims whose recorded source page is an entity page or whose text names exactly one page. The rest stay unlinked and are invisible from the pages they concern. This skill handles that residue with judgment. Work in this order: link, then duplicates and replaced claims, then page prose.

1. Enumerate the residue

Call knowledge_status for the intended scope and knowledge_ontology for the current fingerprint. Run 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.

Read each claim 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, 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.

2. Choose subject pages

For each group, find candidate pages with knowledge_grep and knowledge_lookup, and read their State and Timeline. Ignore withdrawn pages and fixture pages.

  • The primary subject is what the claim asserts something about. 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.
  • A preference or decision stated by a person belongs on that person's page. Do not turn one person's preference into a project or company policy.
  • Match identity on evidence, not on similar names. When a claim names something that might be an existing page (for example a product name that could be a different service), confirm it from evidence such as configuration, a URL or the page's own aliases. If it stays uncertain, leave the claim unlinked and report it.

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.

3. Create missing pages

Linking every claim to the nearest existing page can bury a real subject in a broad page's Timeline. Create a page when:

  • a discrete subject (a feature, project, tool or substantial PR) has roughly five or more claims, or has its own design, proof and outcome history; or
  • a person or organisation authored, owns or decided something in the claims, has no page, and has identity evidence (for example the PR author shown by 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. Then link the claims to the new page, keeping their existing subjects as secondaries, and link the new page from its parent page.

4. Retire duplicates and replaced claims

  • Duplicate: two claims assert the same fact, decision or preference about the same event. Keep the one with owner-approved recall, otherwise the earlier one, otherwise the one with fuller attribution. Copy any evidence the survivor lacks with knowledge_annotate addEvidence, then knowledge_withdraw the other with a reason that names the survivor's ID.
  • Replaced: a later claim explicitly corrects the earlier one (for example an assistant correcting its own report), decides a question the earlier claim left open, or reports the final state of the same specific item (same PR, commit or decision). Withdraw the earlier claim with a reason that names the replacing claim. Do not use knowledge_correct here: it publishes a new copy of the replacement, which creates another duplicate.
  • Neither: snapshots of different moments (CI red at one head, a merge later) are history, not errors. Keep them. Contradiction alone does not justify a withdrawal. When unsure, keep both and report the pair.

5. Update page prose

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.

  • Collapse a series of progress snapshots into its outcome. Snapshots (CI runs, open PRs, local commits) are at most dated Timeline entries, never State.
  • Check mutable status live before writing it as current (for example 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.
  • When a design or decision page contradicts a later decision, add a dated amendment next to the original text rather than rewriting it. Mark answered open questions as resolved and keep the original question.
  • Cite every added sentence with [[claim-id|label]] links to the claims.

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.

6. Verify and report

Run knowledge_verify with expectedEntities for each linked claim and expectedLinks for each new or edited page. Enumerate the residue again: new remembered claims may have arrived while you worked. Handle them the same way or report them.

Report the number of claims examined and linked, pages created, claims withdrawn (with the surviving or replacing claim for each), pages edited, and claims left unlinked with the reason for each. When running unattended, never ask for a decision: leave uncertain identities, uncertain duplicates and pages you would only create on a guess untouched, and list them in the report for a person.

Running as the scheduled review

Knowledge maintenance queues this review after its nightly relink pass when private remembered claims are still unlinked (maintenance.reviewJobId). The run is unattended:

  • First call knowledge_status. If the scope is not private or writes are disabled, reply with AUTOMATION_FAILED on its own first line and the reason: the worker has lost the owner's access and needs to be set up again.
  • Work through steps 1 to 6. Check the residue again before stopping, since claims saved during the run are part of the same backlog.
  • With nothing to do, reply NO_REPLY. Otherwise reply with the step 6 report.

Setting up the scheduled review

The review needs owner-private access, which only a session descended from the owner's direct conversation has. Set it up from that conversation:

  1. Spawn a kept worker: sessions_spawn with runtime: "subagent", cleanup: "keep" and context: "isolated", whose task is to call knowledge_status and report the scope. Continue only if it reports private with writes enabled. Keep the returned session key.

  2. Create the automation bound to that worker. It needs a schedule, so give it a one-shot date years away; maintenance runs it on demand.

    openclaw automations add --agent <agent> --name knowledge-unlinked-claims-review \
      --session "session:<worker-session-key>" --at <date-years-ahead> --keep-after-run \
      --model <provider/model> --no-deliver --timeout-seconds 3600 \
      --message "Follow the knowledge-unlinked-claims skill as the scheduled review."
    

    The job records the inference account it was created with. Choose a model that uses that account (a provider with an auth profile); otherwise every run fails before the model is called.

  3. Set plugins.entries.knowledge.config.maintenance.reviewJobId to the job ID.

  4. Prove it: openclaw automations run <job-id> --wait must finish with the worker reporting the private scope, and maintenance_status reports the review outcome after the next pass.

Disable the automation to pause the review. Resetting or removing the owner conversation the worker came from revokes its access; set the review up again.

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