CRUX-Compress: Skill for Cursor

.cursor/skills/crux-skill-memory-meditation-ensemble/SKILL.md

crux-skill-memory-meditation-ensemble is a skill for Cursor from zotoio/CRUX-Compress. It costs 0 tokens per session (5,485 once invoked), scanned A, original, MIT.

A procedure for combining the results of several independent CRUX memory-meditation runs. It creates a cross-model summary and manages the extra review steps needed when multiple models are used together.

In plain words
What is it for?
Use it only for CRUX ensemble mode, where several models produce meditation trees and an aggregator combines them. It is not used for ordinary single-tree or per-model runs.
Why use it?
It helps compare separate consolidation results and produce one combined result instead of leaving several uncoordinated versions. It also keeps the additional multi-model review steps in the correct order.

Skill for Cursor

Written for Cursor: installed under .cursor/.

This is zotoio/CRUX-Compress's own configuration. It tells Cursor how to work on CRUX-Compress itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything CRUX-Compress configures →

Reuse

Borrowing it

Nothing to install: this file belongs to zotoio/CRUX-Compress. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/zotoio/CRUX-Compress/main/.cursor/skills/crux-skill-memory-meditation-ensemble/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/zotoio/CRUX-Compress

Made for: Cursor.

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Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,485 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 $0.00000 $0.05485
Opus 5.5 $0.00000 $0.02194
Sonnet 5.5 $0.00000 $0.01097
Haiku 4.5 $0.00000 $0.00549

Measured 1mo ago against content hash 2f73b33e06c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

crux-skill-memory-meditation-ensemble 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 1mo 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.

.cursor/skills/crux-skill-memory-meditation-ensemble/SKILL.md · 352 lines

How it starts

The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CRUX Skill: Memory Meditation — Ensemble Aggregation

Implements the Ensemble Aggregation function: cross-model synthesis after N independent meditation trees have completed, K10 layered cadence (steps 3b–3f), ensemble report extras, and K10 Ensemble Respawn Targeting. This skill is never loaded by per-model tree agents — only by the aggregator spawn.

When to Use

Load this skill only when:

  • The crux-cursor-meditation-guide agent is spawned with ensembleAggregation: true
  • You are the cross-model aggregator spawned by the calling agent's Ensemble Protocol (step 8 of the /crux-meditate command)

This skill is modelStrategy.mode == "ensemble_max" only. The other two pool-using strategies — random and per_branch — are single-tree variants that do NOT spawn an aggregator and do NOT produce a cross-model-synthesis.md or ensemble report pair. They run the standard single-tree workflow with model dispatch driven by the modelStrategy: payload (see the /crux-meditate command's Model Strategy payload section).

Never load this skill in:

  • Per-model tree Research or Quick mode workflows (per-model trees use the crux-skill-memory-meditation-research or crux-skill-memory-meditation-quick skill)
  • Single-tree random runs (no aggregation needed — one model, one report)
  • Single-tree per_branch runs (no aggregation needed — one tree with per-branch model attribution recorded in facets.md and the standard single-tree report)

Prerequisites

  1. All N per-model meditation trees have completed (calling agent confirms before spawning the aggregator)
  2. comprehensiveness: payload is present in the spawn prompt — abort with: "comprehensiveness: payload required; missing from spawn prompt — caller misconfigured" if missing
  3. theming: payload is present — abort with a clear error if missing

Input Parameters (Ensemble Aggregation invocation)

ensembleAggregation: true
ensembleWorkingDir: "<absolute path to the ensemble root directory>"
modelSubdirs: 
  - slug: "gpt-5.6-sol-max"
    label: "GPT 5.6 Sol"
    subdirPath: "<absolute path to model-gpt-5.6-sol/>"
  # ... one entry per model
confirmedFacets: 
  - index: 1
    title: "{facet-1-title}"
    subfocus: "{facet-1-subfocus}"
    slug: "{facet-1-slug}"
  # ... 3 facets (shared, user-confirmed)
theming: { ... }                  # shared Theme Preflight payload — REQUIRED
comprehensiveness: { ... }        # shared comprehensiveness payload — REQUIRED; abort if missing
meditateMode: "research" | "quick"
topicSlug: "{topic-slug}"         # for report filenames

Read the full file on GitHub · 352 lines

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. 1mo ago Changed 2f73b33e06c8
  2. 2mo ago First seen · 352 lines · 0 tokens per session scan A 802efa7fd077

Subscribe to this mod's changes

crux-skill-memory-meditation-ensemble is a skill published in the GitHub repository zotoio/CRUX-Compress (8 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,485 tokens. 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.

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