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.
npx agentmods add skills/catlog22/claude-code-workflow/memory-capturenpx skills add catlog22/Claude-Code-Workflow --skill memory-capturegit clone --depth 1 https://github.com/catlog22/Claude-Code-WorkflowWrote 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/catlog22/claude-code-workflow/memory-capture)<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/memory-capture"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/memory-capture.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.01178 |
| Opus 5 | $0.00024 | $0.00589 |
| Sonnet 5 | $0.00010 | $0.00236 |
| Haiku 4.5 | $0.00005 | $0.00118 |
Grade A, and why
memory-capture 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 today.
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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Capture Skill
Unified memory capture skill that routes to two execution modes:
- Compact: Compress full session memory into structured text for recovery
- Tips: Quick note-taking for ideas, snippets, and insights
Architecture Overview
┌─────────────────────────────────────────────────────┐
│ Memory Capture (Router) │
│ → Parse input → Detect mode → Route to phase │
└───────────────┬─────────────────────────────────────┘
│
┌───────┴───────┐
↓ ↓
┌───────────┐ ┌───────────┐
│ Compact │ │ Tips │
│ (Phase1) │ │ (Phase2) │
│ Full │ │ Quick │
│ Session │ │ Note │
└─────┬─────┘ └─────┬─────┘
│ │
└───────┬───────┘
↓
┌───────────────┐
│ core_memory │
│ (import) │
└───────────────┘
Execution Flow
Step 1: Parse Input & Route
Detect execution mode from user input:
Auto-Route Rules (priority order):
| Signal | Route | Examples |
|---|---|---|
| Keyword: compact, session, 压缩, recovery, 保存会话 | → Compact | "compact current session" |
| Keyword: tip, note, 记录, 快速 | → Tips | "记录一个想法" |
Has --tag or --context flags |
→ Tips | "note content" --tag bug |
| Short text (<100 chars) + no session keywords | → Tips | "Remember to use Redis" |
| Ambiguous or no arguments | → AskUserQuestion | /memory-capture |
When ambiguous, use AskUserQuestion:
Question: "选择记忆捕获模式"
Options:
1. Compact - 压缩当前完整会话记忆（用于会话恢复）
2. Tips - 快速记录一条笔记/想法/提示
Step 2: Execute Selected Phase
Based on routing result, read and execute the corresponding phase:
- Compact mode → Ref: phases/01-compact.md
- Tips mode → Ref: phases/02-tips.md
Phase Reference Documents (read on-demand when phase executes):
| Mode | Document | Purpose |
|---|---|---|
| Compact | phases/01-compact.md | Full session memory compression and structured export |
| Tips | phases/02-tips.md | Quick note-taking with tags and context |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today First seen · 130 lines · 48 tokens per session scan A 77b76a1cdaa1
memory-capture is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,133 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 1,178 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 2026-09-03.
Other skills, from other repositories
alive:mine-for-context
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alive-capture
Capture external content into a walnut bundle -- emails, transcripts, screenshots, documents, research.
alive-health
Flag walnuts past their rhythm -- health check for the world.
onboarding
First-run setup for OneBrain : personalize identity, communication style, and vault configuration. Use only on first install or when the user wants to fully reconfigure OneBrain from scratch — manual only. Do NOT use for: teaching a single preference (use learn), updating system files (use update), or reviewing memory…
clone
Clone your agent's portable context (agent folder including MEMORY.md) to a folder for transfer to another vault. Use only when the user explicitly wants to migrate or copy agent memory to a new vault. Do NOT use for: backing up the whole vault, updating OneBrain (use update), or reviewing memory (use memory-review).
search
General vault retrieval — answers both "what" and "why" questions across MEMORY.md, memory/, session logs, project trackers, and vault notes. Uses the search tools (lex+vec+hyde) with grep fallback.