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Official · OpenClawFreePublished on GitHubEnglish overview

knowledge-automation

Set up or repair recurring Knowledge ingestion by checking the authorized source, worker access, schedule, and timezone. Verify the job configuration and run it through the scheduler, including saved coverage and checkpoint behavior.

OriginalShow the original description

Create scheduled Knowledge ingestion automations with a verified worker, private-vault authority, and an end-to-end scheduled run. Use when asked to schedule or repair recurring ingestion from any source.

openclaw/openclaw393,141 stars(GitHub 393,141 + cccskills 0)

Run score Not tested

See how to install

Good for

  • Scheduling recurring ingestion from an authorized source
  • Repairing a Knowledge ingestion job
  • Checking that a scheduled run can access the intended vault

Overview

What it does

This skill schedules recurring ingestion into Knowledge. It checks existing automations and their run status, then creates or repairs a job as needed. It confirms the source, intended agent or vault, run frequency, and timezone, and verifies that the worker can access the intended scope. It reads back the job configuration and runs the job through the scheduler, checking that records are saved and checkpoints are updated.

When it helps

Use it when you want a regularly updated source ingested into Knowledge, or when an existing ingestion job has stopped working. It can also verify access rights and check for duplicate results through an actual scheduled run, rather than relying on the configuration alone.

Example requests

  • “Set up an automation to ingest this source into Knowledge every week.”
  • “The recurring ingestion has stopped. Find the cause and repair it.”

Notes

Scheduling requires a compatible OpenClaw environment and owner delegation to the target vault. Running the workflow interactively does not verify that it works through the scheduler. If access is lost, writes must stop until delegation is authorized again.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
BPartly lackingIt requires delegated access and writes; lost authority must stop writes, but setup changes carry risk.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt requires a compatible OpenClaw installation and owner delegation, with verification steps provided.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 26, 2026. Treat it as a guide and read the original before installing.

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Files included (1)

  • SKILL.md4.0 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Knowledge automation

  1. Identify the job. Inspect existing automations before creating a replacement. Confirm the authorized source, intended agent/vault, cadence and timezone. Verify the running OpenClaw installation and its current automation CLI/schema; a different CLI on PATH may target an incompatible installation. Finish with the intended job and any existing checkpoint identified.

  2. Establish the worker's authority. For owner-private ingestion, use the verified OpenClaw 2026.9.8 composition: an operator-authored named-session automation targeting a retained, genuinely owner-delegated OpenClaw session. From the authorized owner conversation, use sessions_spawn with runtime: "subagent", cleanup: "keep", and no collector mode. Have the child check knowledge_status for the intended scope/agent/vault and read a known existing record when available; retain its returned session key. This is the persistent ingestion worker, not an internal research subagent. Operator scheduling alone does not grant private access. A fresh named session, detached current run, or headless script is not a substitute for delegation. Finish with a retained worker that has demonstrated intended access.

  3. Create the host automation. Use the verified installation's supported operator CLI (openclaw automations add, or edit the intended existing job), with an agent-turn message and --session "session:<returned-session-key>". Requester-scoped automation creation cannot target another conversation's workspace. If operator scheduling is unavailable, report that blocker; never fabricate owner context or edit stored authority receipts. Set the requested schedule/timezone, a sufficient timeout and a finite tool allow-list for the workflow. Discover the scheduled runtime's actual execution tools rather than assuming interactive tool names. Read back the target and job configuration.

    The job message must require, on every run:

    • Intended Knowledge scope/access preflight before acquisition or writes.
    • Fresh acquisition using the source's existing authorized credential route.
    • knowledge-source-ingest for incremental coverage/reconciliation where applicable, then knowledge-ingest or knowledge-meeting-ingest for content.
    • The selected workflow's verification before committing its checkpoint; preserve retryable work and the previous checkpoint on failure.
    • AUTOMATION_FAILED on its own first line for unresolved failure, followed by the reason. NO_REPLY is for successful no-change runs, not hidden errors.
  4. Prove the scheduled path. Run through the scheduler, not just interactive tools. Require a terminal run receipt, correct vault access, verified saved coverage and checkpoint readback. Repeat with unchanged source content and verify no duplicate publication. Confirm a real timer firing as well; job creation or source listing alone does not prove ingestion. When replacing a job, disable the old one after verification and confirm only one is active. Report any untested publication or repeat behavior explicitly.

  5. Report operation and limits. Give the job, cadence, next run and verified outcome. Check result delivery and failure alerts separately: quiet delivery (delivery.mode: "none") leaves results in automation history and does not imply proactive notifications. Parent reset/removal/reassignment revokes delegation; worker reset or removal can also invalidate access. Check the effective reset/retention policy. On lost authority, stop writes and checkpoint advancement; recover only through a newly authorized owner delegation and supported retargeting, never self-reauthorization.

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