aios-offload-recall
Use when recalling prior AIOS tool/browser outputs from offloaded refs; inspect Mermaid canvas first, then read only matching node-level evidence.
- License 许可
- MIT
- 所属仓库
- rexleimo/aios
- 最近更新
- 2026-11-07
- Stars
- ★ 62
- Forks
- 11
01 前言 Front Matter
- name
- aios-offload-recall
- tags
- [ "aios", "token", "offload", "recall" ]
- scopes
- [ "global", "project" ]
- clients
- [ "codex", "claude", "hermes", "workbuddy", "pi", "zcode", "qoder" ]
- description
- Use when recalling prior AIOS tool/browser outputs from offloaded refs; inspect Mermaid canvas first, then read only matching node-level evidence.
- repoTargets
- [ "codex", "claude", "gemini", "opencode", "hermes", "workbuddy", "pi", "zcode", "qoder" ]
- defaultInstall
- { "global": true, "project": false }
- installCatalogName
- aios-offload-recall
03 SKILL.md 正文
AIOS Offload Recall
Use this when prior tool output is likely stored under .aios/offload/ and token use matters.
Recall Order
- Identify the session id from ContextDB, harness status, or the user's handoff.
- Run
aios canvas show --session <id>to inspect the compact task graph. - Search narrowly with
aios refs grep "<pattern>" --session <id>. - Read only the needed node with
aios refs read <node_id>. - Summarize the recalled evidence and keep the
node_idin your notes.
Backfill Existing Logs
If a previous run produced JSONL tool-event logs but no canvas yet, create the index first:
aios canvas backfill --input <events.jsonl> --client <client> --session <id>
Then resume the recall order above. Backfill accepts generic records with fields like tool, input, output,
or Claude-style tool_name, tool_input, tool_response.
Rules
- Do not load every ref file unless the user explicitly asks for a full audit.
- Do not treat the canvas as complete evidence; it is an index over raw refs.
- If a node may contain secrets, use
aios privacy read --file <path>before sharing content. - Savings are future-context savings: canvas/node_id replaces raw log replay during resume or recall.
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skill-opt-lite
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