sivtr-memory

sivtr-memory is a skill for Claude Code, Codex from Ariestar/sivtr. It costs 46 tokens per session (2,681 once invoked), scanned A, original, Apache-2.0.

A local work-memory retrieval tool for finding earlier terminal activity, conversations, decisions, debugging evidence, and handoff notes. It searches that stored context before asking someone to repeat it.

In plain words
What is it for?
Look up prior commands, logs, decisions, validation results, and project context when continuing or debugging local work.
Why use it?
It reduces repeated explanations and helps recover the evidence behind earlier work. The input does not specify how the memory is stored or what systems are connected.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions Codex; built for openclaw; mentions OpenCode.

Good fit Look up prior commands, logs, decisions, validation results, and project context when…

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Install with agentmods
npx agentmods add skills/ariestar/sivtr/sivtr-memory
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Ariestar/sivtr --skill sivtr-memory
Clone the repo
git clone --depth 1 https://github.com/Ariestar/sivtr

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 sivtr-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/ariestar/sivtr/sivtr-memory.svg)](https://agentmods.dev/skills/ariestar/sivtr/sivtr-memory)
Your own site
<a href="https://agentmods.dev/skills/ariestar/sivtr/sivtr-memory"><img src="https://agentmods.dev/badge/skills/ariestar/sivtr/sivtr-memory.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,681 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.
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 $0.00046 $0.02681
Opus 5 $0.00023 $0.01340
Sonnet 5 $0.00009 $0.00536
Haiku 4.5 $0.00005 $0.00268

Measured 7d ago against content hash 1d912e57c553, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

sivtr-memory 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 7d 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.

skills/sivtr-memory/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sivtr Memory

Sivtr is the shared local work memory for this machine.

Use it before asking the user to paste logs, repeat decisions, or restate earlier work.

Core rule:

Search for evidence first. Expand only the smallest relevant context. Ask when memory is missing, ambiguous, stale, or permission is required.

MCP tools (preferred when available)

If the host exposes sivtr MCP tools, prefer them over shelling out to the CLI. Register with:

sivtr mcp install -y
Tool Use
sivtr_search Narrow search over terminal / agent / provider / desk:...
sivtr_show Expand a ref or @last / @name
sivtr_zoom Neighboring record context
sivtr_filter Narrow @last or a saved set
sivtr_status Hooks, providers, daemon, local workspace origins (ws), remotes, vars

Fall back to CLI commands below when MCP is not configured.

When to Use

Use this skill whenever local work memory may contain useful evidence. Sivtr retrieves recent terminal activity, AI conversation history, prior decisions, validation output, debugging trails, and handoff context.

Use it before asking the user to repeat context when you need to know things like:

  • what just happened in the terminal or an agent session
  • what command was run, what output it produced, or whether validation passed
  • what the user or a previous agent decided, rejected, or planned
  • where earlier debugging, build, test, lint, deploy, or research work left off
  • what evidence supports a recap, handoff, status update, or next step
  • whether missing or truncated current-context output exists in local memory

Do not use Sivtr as truth by itself. Treat memory as evidence to retrieve, then verify current files or commands before making claims about current state.

Default Retrieval Workflow

Mental model to keep in mind:

  • A WorkSet is records + anchors: records are the materialized backing store; anchors are the active positions moving through search, filter, work, nav, zoom, and show.
  • Treat @last and @name as WorkSet variables. Use --save <name> or sivtr var set <name> <source> whenever a result will be reused or refined.
  • Use filter to narrow a WorkSet, work parts to project record anchors into part anchors, nav to move anchors deterministically, and zoom only when you want neighboring record context.
  • In shell pipelines, @ means "read the WorkSet JSON from stdin". Do not pipe --refs text into @; either omit --refs in intermediate commands or use @last / @name.

Read the full file on GitHub · 170 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 170 lines · 46 tokens per session scan A 1d912e57c553

Subscribe to this mod's changes

sivtr-memory is a skill published in the GitHub repository Ariestar/sivtr (258 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 2,681 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.