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/murphytrueman/design-system-ops/session-memorynpx skills add murphytrueman/design-system-ops --skill session-memorygit clone --depth 1 https://github.com/murphytrueman/design-system-opsWhat 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 | $0.00161 | $0.02934 |
| Opus 5 | $0.00081 | $0.01467 |
| Sonnet 5 | $0.00032 | $0.00587 |
| Haiku 4.5 | $0.00016 | $0.00293 |
Grade A, and why
session-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 2d 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Memory
A skill for persisting findings across skill runs so that future skills can compare, correlate, and build on what was previously discovered.
Output type: Memory file creation and recall. This skill writes structured session files and retrieves previous session data. It does not produce analysis — it provides the memory layer that other skills draw from.
Why this exists
Every skill in Design System Ops produces findings. But those findings are ephemeral — they exist in the conversation, get summarised, and then vanish. The next time someone runs token-audit, it starts from zero. It cannot tell you whether things got better or worse since last quarter. It cannot cross-reference what drift-detection found last month with what component-audit finds today.
Session Memory fixes this. It creates a structured memory layer that:
- Saves findings from any skill run with timestamps, severity, and skill provenance
- Recalls findings when a skill asks "what did we find before?"
- Compares findings between runs to surface trends (improving, stable, worsening)
- Correlates findings across skills to surface patterns that persist over time
This is not a database. It is a structured markdown file per session that accumulates over time. Simple, portable, and readable by both humans and AI.
Boundaries
This skill is a persistence layer — it saves, recalls, compares, and correlates findings. It does not run audits, produce reports, or generate recommendations on its own. If no previous session files exist and the mode is Recall, Compare, or Correlate, inform the user that there is no history to work with and suggest running an audit first. If the session memory directory does not exist, create it on Save. Do not correlate across skills unless at least two different skill sessions exist — a single-skill history is a Compare, not a Correlate.
Configuration
Check for .ds-ops-config.yml in the project root:
memory:
directory: ".ds-ops/sessions" # Where session files are stored
retain_count: 12 # How many session files to keep
auto_save: true # Automatically save after every skill run
comparison_window: 3 # How many previous sessions to compare against
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.
- 2d ago First seen · 337 lines · 161 tokens per session scan A 1b68ea0668d2
session-memory is a skill published in the GitHub repository murphytrueman/design-system-ops (174 stars, last pushed 11d ago), licensed MIT. It adds 161 tokens to every session and 2,934 once invoked, about $0.0008 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
design-engineering
Premium design engineering skill for agentic workflows — produces high-end, distinctive UI designs using DESIGN.md as the portable contract across Pencil MCP (in-IDE canvas), Figma MCP (team handoff + design tokens), and Google Stitch (vibe exploration + AI generation). Enforces anti-generic principles, WCAG 2.2 AA…
generate-figma-screen
Kod veya açıklamadan Figma'da tam ekran/sayfa oluşturur. Yayınlanmış design system bileşenlerini arayıp instance olarak yerleştirir; hardcode değer yerine DS token'larını kullanır. "Figma'da ekran oluştur", "kodu Figma'ya çevir", "landing page çiz", "ekran tasarla", "generate screen", "UI'ı Figma'ya aktar"…
figma-a11y-audit
Figma ekranını erişilebilirlik açısından denetler. Renk kontrastı (WCAG AA/AAA), minimum dokunma hedefi, fokus sırası, metin boyutu ve platform-bazlı ekran okuyucu önerileri (VoiceOver, TalkBack, ARIA) üretir. "a11y audit", "erişilebilirlik kontrol", "kontrast kontrol", "accessibility check", "ekran okuyucu spec"…
fmcp-intent-router
F-MCP ile ilgili herhangi bir kullanıcı talebinin ilk giriş noktası. Kullanıcının niyetini analiz eder, hangi hedef SKILL'in çalıştırılacağına karar verir, o SKILL için gereken eksik input'ları tek turda toplar, özet+onay alır ve ondan sonra hedef SKILL'i çalıştırır. "figma", "ekran oluştur", "tasarım yap", "component…
fmcp-screen-recipes
Fast path cookbook — standart ekran tipleri (login/payment/profile/list/detail/form/onboarding/dashboard/settings) için 5 mega-adımlı recipe. Max 15 op/execute, cache-first discovery, her adımda Türkçe micro-report.
generate-figma-library
Kod tabanından Figma'da profesyonel design system kütüphanesi inşa eder. Variable collection, primitive/semantic token, bileşen (variant, auto-layout, property), sayfa yapısı ve tema desteği oluşturur. "DS kütüphanesi oluştur", "design system inşa et", "token'ları Figma'ya yaz", "bileşen kütüphanesi kur", "generate…