sis-memory-orchestrator SKILL.md skillA

sis-memory-orchestrator from frankxai/starlight-intelligence-system is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add frankxai/starlight-intelligence-system/sis-memory-orchestrator@git:20260430.547e5bf

Pins git:20260430.547e5bf in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
frankxai/starlight-intelligence-system
Path
skills/memory/sis-memory-orchestrator/SKILL.md
Versions recorded
2
Latest version
git:20260430.547e5bf, committed Apr 30, 2026
First version recorded
Apr 29, 2026
Size
11,627 bytes
Repository stars
10
License
MIT

Substrate-aware memory orchestration for Starlight Intelligence System. Coordinates a 7-subagent team that proactively manages memory writes, retrieval, knowledge-graph maintenance, privacy redaction, decay, audit, and substrate benchmarking across pluggable backends (mempalace, Letta, Mem0, AgentDB, Qdrant, screenpipe, filesystem). Use when the user asks about SIS memory architecture, wants to add or swap a memory substrate, runs `/sis memory`, asks "where should this capture go", reports…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# SIS Memory Orchestrator

> **v0.1 scope cut (2026-04-30) — round-trip-first.**
>
> This skill describes the full architecture. **What ships in v0.1 is a deliberately small subset:** 3 agents (Router, Guardian, Bencher), 2 substrates (mempalace in-tree adapter + Qdrant scaffold-disabled), replay-only benchmarks, dog-fooded through People Intelligence `/perf-feedback-rehearsal`. Implementation lives in `private/voice-operator/service/memory/`. CLI surface: `python -m service.memory.cli {commit,recall,status}`.
>
> The remaining agents/substrates/cron/encryption/CRDT below are **parked with falsifiable un-park triggers** in `memory/benchmarks/DECISIONS.md`. A parked item ships only when its trigger is observed on the live system — not from a roadmap.
>
> The v0.1 success gate: a `/perf-feedback-rehearsal` write reaches mempalace, a follow-up `recall()` returns it, Guardian blocks a PII probe, audit log records the full sequence — all green on Frank's machine before this commit (d9cc95b) is pushed.
>
> Plan: `docs/superpowers/plans/2026-04-30-sis-memory-orchestrator-v0.1.md`.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add frankxai/starlight-intelligence-system/sis-memory-orchestrator@sha256:aa0bc470361741d8

The line at the top of this page pins the label git:20260430.547e5bf, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_73o2l3utzfftdtj4.svg)](https://markdownregistry.com/a/art_73o2l3utzfftdtj4)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Apr 29, 2026 and Apr 30, 2026, more than one a day.

versioncommittedcommitsizeaudit
git:20260430.547e5bf latest2026-04-30 547e5bf 11,627 BA view · diff
git:20260429.d9cc95b2026-04-29 d9cc95b 10,556 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11627 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

frankxai/starlight-intelligence-system · 10 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_73o2l3utzfftdtj4
GET https://markdownregistry.com/api/v1/resolve?ref=frankxai/starlight-intelligence-system/sis-memory-orchestrator
GET https://markdownregistry.com/api/v1/blob/aa0bc470361741d8134e7b8865603d1835ef37dc236e857bb4a13f16dd8a7360

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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