aios-offload-recall

aios-offload-recall is a skill for Claude Code, Codex from rexleimo/aios. It costs 34 tokens per session (442 once invoked), scanned A, original, MIT.

A guide for finding earlier tool or browser results that were stored outside the main conversation. It uses a compact task graph to locate the relevant saved evidence.

In plain words
What is it for?
Use it to identify a past session, search its saved references, read matching evidence, and recover missing context.
Why use it?
It avoids loading every old result when only one specific piece of information is needed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex; mentions OpenCode.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node scripts/aios.mjs canvas backfill --input <events.jsonl> --client <client> --session <id>.

Good fit Use it to identify a past session, search its saved references, read matching evidence, and recover missing context.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/rexleimo/aios
agentmods
npx agentmods add skills/rexleimo/aios/aios-offload-recall

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for aios-offload-recall

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
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Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 442 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00442
Opus 5 $0.00017 $0.00221
Sonnet 5 $0.00007 $0.00088
Haiku 4.5 $0.00003 $0.00044

Measured 9d ago against content hash b9a362a1d36d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

aios-offload-recall scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skill-sources/aios-offload-recall/SKILL.md · 44 lines

What it actually says

AIOS Offload Recall

Use this when prior tool output is likely stored under .aios/offload/ and token use matters.

Recall Order

  1. Identify the session id from ContextDB, harness status, or the user's handoff.
  2. Run node scripts/aios.mjs canvas show --session <id> to inspect the compact task graph.
  3. Search narrowly with node scripts/aios.mjs refs grep "<pattern>" --session <id>.
  4. Read only the needed node with node scripts/aios.mjs refs read <node_id>.
  5. Summarize the recalled evidence and keep the node_id in your notes.

Backfill Existing Logs

If a previous run produced JSONL tool-event logs but no canvas yet, create the index first:

node scripts/aios.mjs 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.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 44 lines · 34 tokens per session scan A b9a362a1d36d

Subscribe to this mod's changes

aios-offload-recall is a skill published in the GitHub repository rexleimo/aios (52 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 442 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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