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.
curl -O https://raw.githubusercontent.com/zotoio/CRUX-Compress/main/.cursor/skills/crux-skill-memory-meditation-ensemble/SKILL.mdgit clone --depth 1 https://github.com/zotoio/CRUX-CompressWrote 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.
[](https://agentmods.dev/skills/zotoio/crux-compress/crux-skill-memory-meditation-ensemble)<a href="https://agentmods.dev/skills/zotoio/crux-compress/crux-skill-memory-meditation-ensemble"><img src="https://agentmods.dev/badge/skills/zotoio/crux-compress/crux-skill-memory-meditation-ensemble/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/zotoio/crux-compress/crux-skill-memory-meditation-ensemble"><img src="https://agentmods.dev/badge/skills/zotoio/crux-compress/crux-skill-memory-meditation-ensemble.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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-guideagent is spawned withensembleAggregation: true - You are the cross-model aggregator spawned by the calling agent's Ensemble Protocol (step 8 of the
/crux-meditatecommand)
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-researchorcrux-skill-memory-meditation-quickskill) - Single-tree
randomruns (no aggregation needed — one model, one report) - Single-tree
per_branchruns (no aggregation needed — one tree with per-branch model attribution recorded infacets.mdand the standard single-tree report)
Prerequisites
- All N per-model meditation trees have completed (calling agent confirms before spawning the aggregator)
comprehensiveness:payload is present in the spawn prompt — abort with: "comprehensiveness:payload required; missing from spawn prompt — caller misconfigured" if missingtheming: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
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.
- 1mo ago Changed 2f73b33e06c8
- 2mo ago First seen · 352 lines · 0 tokens per session scan A 802efa7fd077
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.
crux-skill-memory-meditation-ensemble compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| crux-skill-memory-meditation-ensemblezotoio/CRUX-Compress | Skill | 8 | 14d ago | MIT | A | 0 | Cursor |
| kiro-steering-customgotalab/cc-sdd | Skill | 3.8k | 15d ago | MIT | A | 14 | Claude Code, Codex |
| [object Object]team-reflect/reflect-open | Skill | 1.6k | yesterday | MIT | A | 51 | Claude Code, Codex |
| identity-snapshotdavekilleen/Dex | Skill | 512 | 8d ago | MIT | A | 74 | Claude Code, Codex |
| daily-journalhuytieu/COG-second-brain | Skill | 1.3k | 14d ago | MIT | A | 107 | Claude Code |
| simplemem-skillaiming-lab/SimpleMem | Skill | 3.9k | 3mo ago | MIT | A | 58 | Claude Code, Codex |
| alive:session-historyalivecontext/alive | Skill | 132 | 1mo ago | MIT | A | 76 | Claude Code |