Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/samttoo22-mewcat/opensoul/soul-memory)<a href="https://agentmods.dev/skills/samttoo22-mewcat/opensoul/soul-memory"><img src="https://agentmods.dev/badge/skills/samttoo22-mewcat/opensoul/soul-memory/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/samttoo22-mewcat/opensoul/soul-memory"><img src="https://agentmods.dev/badge/skills/samttoo22-mewcat/opensoul/soul-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00038 | $0.00240 |
| Opus 5 | $0.00019 | $0.00120 |
| Sonnet 5 | $0.00008 | $0.00048 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
soul-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 11d 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.
What it actually says
記憶統計
執行以下指令以查詢記憶圖譜統計:
```bash cd /Users/mac/Desktop/coding/py/OpenSoul python -m soul.interface.cli memory stats ```
功能
顯示三個記憶圖譜的詳細統計:
- 語意記憶(soul_semantic)— 概念和知識連結
- 情節記憶(soul_episodic)— 經歷和事件,包含待重播次數
- 程序性記憶(soul_procedural)— 技能和程序
相關指令
soul-memory-search— 搜尋特定記憶內容soul-dream— 手動觸發記憶鞏固
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.
- 11d ago First seen · 26 lines · 38 tokens per session scan A 822417e6f1a3
soul-memory is a skill published in the GitHub repository samttoo22-MewCat/OpenSoul (19 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 240 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.
Other skills, from other repositories
obsidian-pro
Advanced Obsidian knowledge management using callouts, properties, and wikilinks. Aligned with the Gold Standard.
vault-memory
Treat the Obsidian vault as operational memory, not just note storage. Focus on retrieval quality, metadata integrity, and safe consolidation.
add-compact
Add /compact command for manual context compaction. Solves context rot in long sessions by forwarding the SDK's built-in /compact slash command. Main-group or trusted sender only.
add-qmd
Add QMD (Query Markup Documents) as an advanced memory search backend. Upgrades the built-in grep-based memorysearch with hybrid BM25 + vector semantic search + LLM re-ranking. Fully local, no API keys needed. Triggers on "add qmd", "qmd memory", "semantic memory search", "upgrade memory".
swmm-modeling-memory
Read historical Agentic SWMM experiment audit artifacts and summarize repeated assumptions, QA issues, failures, missing evidence, run-to-run differences, lessons learned, and controlled skill update proposals. Use downstream of swmm-experiment-audit when multiple audited runs exist or when a user asks for modeling…
Discord Integration
Send messages to Discord channels via webhook or bot.