Borrowing it
Nothing to install: this file belongs to u9401066/med-paper-assistant. 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/u9401066/med-paper-assistant/master/.claude/skills/memory-updater/SKILL.mdgit clone --depth 1 https://github.com/u9401066/med-paper-assistantWrote 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/u9401066/med-paper-assistant/memory-updater)<a href="https://agentmods.dev/skills/u9401066/med-paper-assistant/memory-updater"><img src="https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/memory-updater/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/u9401066/med-paper-assistant/memory-updater"><img src="https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/memory-updater.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 | $0.00034 | $0.00313 |
| Opus 5 | $0.00017 | $0.00156 |
| Sonnet 5 | $0.00007 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
memory-updater 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 10d 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
Memory Bank 更新技能
觸發：更新 memory、記錄進度、存檔、sync、工作階段結束時自動觸發
MCP Tools
| 工具 | 用途 |
|---|---|
memory_bank_update_progress |
progress.md (done/doing/next) |
memory_bank_update_context |
activeContext.md |
memory_bank_log_decision |
decisionLog.md（重大決策） |
memory_bank_show_memory |
顯示記憶內容 |
memory_bank_switch_mode |
切換模式 (architect/code/ask/debug) |
檔案與時機
| 檔案 | 更新時機 |
|---|---|
| activeContext.md | 每次切換任務 |
| progress.md | 完成任務時 |
| decisionLog.md | 架構/技術決策時 |
| productContext.md | 專案設定變更時 |
| systemPatterns.md | 發現新模式時 |
原則
增量更新、保持簡潔、重要項目加日期、標記相關檔案和決策
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.
- 10d ago First seen · 35 lines · 34 tokens per session scan A 7bd1d14ccc1a
memory-updater is a skill published in the GitHub repository u9401066/med-paper-assistant (12 stars, last pushed 9d ago), licensed Apache-2.0. It adds 34 tokens to every session and 313 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
nav-graph
Query project knowledge graph. Search across tasks, SOPs, memories, and concepts. Use when user asks "what do we know about X?", "show everything related to X", or "remember this pattern/pitfall/decision".
nav-marker
Create context save points to preserve conversation state before breaks, risky changes, or compaction. Use when user says "save my progress", "create checkpoint", "mark this point", or before clearing context.
nav-profile
Manage user preferences and corrections for bilateral modeling. Auto-learns from session corrections. Use when user says "save my preferences", "remember I like...", or auto-triggers after corrections.
nav-diagnose
Detect quality drops in AI output and prompt re-anchoring. Auto-triggers after repeated corrections, context confusion, or when user says "something seems off", "you're not getting this".
session-logs
Search, browse, and analyze session history to recall past conversations, decisions, and completed work.
memory-manager
Store, recall, and organize persistent context, preferences, and knowledge across sessions.