memory-promote

memory-promote is a skill for Claude Code, Codex from pyros-projects/limitless. It costs 78 tokens per session (506 once invoked), scanned A, original, MIT.

A guide for reviewing and promoting records in a project memory system. It moves useful items from an inbox into threads, lessons, or decisions, and can raise proven lessons to global use.

In plain words
What is it for?
Use it to review active inbox items, evaluate them for promotion, record recurring topics, and elevate trusted lessons within a project or across projects.
Why use it?
It helps separate temporary notes from patterns that have been confirmed and are worth reusing.

Skill for Claude CodeCodex

Part of the codies-memory plugin — 6 skills shipped together

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.

agentmods
npx agentmods add skills/pyros-projects/limitless/memory-promote
Any agent
npx skills add pyros-projects/limitless --skill memory-promote
Clone the repo
git clone --depth 1 https://github.com/pyros-projects/limitless

Made for: Claude Code, Codex.

Or install codies-memory, the plugin that ships this one along with the rest of its 6 skills.

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 memory-promote

README.md
[![agentmods](https://agentmods.dev/badge/skills/pyros-projects/limitless/memory-promote.svg)](https://agentmods.dev/skills/pyros-projects/limitless/memory-promote)
Your own site
<a href="https://agentmods.dev/skills/pyros-projects/limitless/memory-promote"><img src="https://agentmods.dev/badge/skills/pyros-projects/limitless/memory-promote.svg" alt="Measured on agentmods" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 506 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00078 $0.00506
Opus 5 $0.00039 $0.00253
Sonnet 5 $0.00016 $0.00101
Haiku 4.5 $0.00008 $0.00051

Measured 4d ago against content hash 7c5d5e96a72e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory-promote 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 4d 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.

plugins/codies-memory/skills/memory-promote/SKILL.md · 69 lines

What it actually says

Memory Promote

BETA — This memory system is in active testing. If you encounter bugs, confusing behavior, or have suggestions, run: codies-memory feedback "describe what happened" — your feedback is saved and reviewed.

When To Use

  • At session close (automatic evaluation)
  • When an operator explicitly requests promotion
  • When promotion thresholds are met during work

Promotion Paths

Within Project

inbox -> thread (recurring topic)
inbox -> lesson (actionable pattern)
thread -> decision (confirmed across 2+ sessions)
thread -> lesson (reusable pattern)
decision -> lesson (reusable pattern)

Project to Global

project lesson -> global lesson (proven across 2+ projects)

How To Run

# List active inbox items for promotion review
codies-memory list inbox --status active

# Evaluate all inbox items for promotion (no CLI equivalent yet)
uv run python -c "
from pathlib import Path
from codies_memory.records import list_records
from codies_memory.promotion import evaluate_for_promotion

vault = Path('.memory')
inbox_items = list_records(vault, 'inbox', scope='project')
for item in inbox_items:
    result = evaluate_for_promotion(item, context={'session_count': 3})
    if result['eligible']:
        print(f'  Promote: {item[\"frontmatter\"][\"title\"][:60]}')
        print(f'  Suggested: {result[\"suggested_types\"]}')
"

# Promote an inbox item to a thread
codies-memory promote /path/to/record.md --to thread

# Promote a project lesson to global
codies-memory promote /path/to/lesson.md --to-global

Probation

All promoted records enter a 7-day probation window. During probation:

  • Contradictory evidence can demote the record back
  • Stronger newer records can supersede it
  • The record participates in boot and retrieval normally
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. 4d ago First seen · 69 lines · 78 tokens per session scan A 7c5d5e96a72e

Subscribe to this mod's changes

memory-promote is a skill published in the GitHub repository pyros-projects/limitless (9 stars, last pushed 21d ago), licensed MIT. It adds 78 tokens to every session and 506 once invoked, about $0.0004 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 2026-08-31.

Related

Other skills, from other repositories

dag-recall

Walks the memory DAG to recall detailed context on demand — query, expand, and assemble cited answers from hierarchical summaries without re-reading raw transcripts.

ArchieIndian/openclaw-superpowers · 33 tokens

memory-dag-compactor

Builds hierarchical summary DAGs from MEMORY.md with depth-aware prompts — leaf summaries preserve detail, higher depths condense to durable arcs, preventing information loss during compaction.

ArchieIndian/openclaw-superpowers · 40 tokens

memory-graph-builder

Parses OpenClaw's flat MEMORY.md into a structured knowledge graph — detects duplicates, contradictions, and stale entries, then builds a compressed memory digest optimized for system prompt injection.

ArchieIndian/openclaw-superpowers · 41 tokens

compaction-resilience-guard

Monitors memory compaction for failures and enforces a three-level fallback chain — normal, aggressive, deterministic truncation — ensuring compaction always makes forward progress.

ArchieIndian/openclaw-superpowers · 39 tokens

context-assembly-scorer

Scores how well the current context represents the full conversation — detects information blind spots, stale summaries, and coverage gaps that cause the agent to forget critical details.

ArchieIndian/openclaw-superpowers · 38 tokens

large-file-interceptor

Detects oversized files that would blow the context window, generates structural exploration summaries, and stores compact references — preventing a single paste from consuming the entire budget.

ArchieIndian/openclaw-superpowers · 36 tokens