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daemon-cleanup

Daemon footprint scope, reclaim persistence, and consent-gated cleanup of old artifacts.

Quellinformationen

Repository
Lingtai-AI/lingtai-kernel
Letzte Quellaktivität
9. September 2026 um 05:18
Erkannte Sprache von SKILL.md
Englisch
Sterne
11
Forks
14

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
daemon-cleanup
description
Daemon footprint scope, reclaim persistence, and consent-gated cleanup of old artifacts.
version
1.0.2
last_changed_at
2026-09-08T00:00:00Z
related_files
["src/lingtai/tools/skills/manual/reference/cleanup-footprint-contract.md","src/lingtai/tools/daemon/manual/SKILL.md","src/lingtai/tools/daemon/manual/reference/forensics/SKILL.md"]
maintenance
Keep this reference aligned with the daemon artifact layout and the shared footprint recipe; update the owner route when either changes.
# Daemon Cleanup Reference Use this reference for a footprint audit or explicitly authorized deletion. It does not own provider routing or cross-process recovery. There is no automatic folder cleanup: `reclaim` stops processes but leaves evidence, and molt clears conversation context while retaining durable stores, including daemon run folders. ## Cleanup / Footprint Each run leaves `daemons/em-*` with `daemon.json`, events, transcript/history, result files, and token records. Do not delete an active run or evidence still needed for a report, review, or cost audit. Call `psyche(action="skills", input={}, reasoning="read cleanup guidance")`, then read `reference/cleanup-footprint-contract.md` beside that installed manual. Use its shared inspection recipe; combine its definitions with this tool-specific selection in one task-owned script. Inspection writes nothing. Appending `logs/cleanup.jsonl` is a separate, explicitly selected audit step. ```python agent = Path.cwd() items = [p for p in (agent / "daemons").glob("em-*") if p.is_dir()] rows, total = footprint_check(items, tool="daemon", top_n=20) ``` Before deleting old completed folders, show the dry-run output and obtain explicit human consent. Then append an `apply` record to `logs/cleanup.jsonl` with the deleted paths and bytes. Never delete outside the approved selection or use cleanup to hide a failed run.
Auf GitHub ansehen