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 commands/catlog22/claude-code-workflow/style-skill-memorygit clone --depth 1 https://github.com/catlog22/Claude-Code-WorkflowWhat 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 | $0.00021 | $0.03732 |
| Opus 5 | $0.00010 | $0.01866 |
| Sonnet 5 | $0.00004 | $0.00746 |
| Haiku 4.5 | $0.00002 | $0.00373 |
Grade A, and why
style-skill-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 — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory: Style SKILL Memory Generator
Overview
Purpose: Convert style reference package into SKILL memory for easy loading and context management.
Input: Style reference package at .workflow/reference_style/{package-name}/
Output: SKILL memory index at .claude/skills/style-{package-name}/SKILL.md
Use Case: Load design system context when working with UI components, analyzing design patterns, or implementing style guidelines.
Key Features:
- Extracts primary design references (colors, typography, spacing, etc.)
- Provides dynamic adjustment guidelines for design tokens
- Includes prerequisites and tooling requirements (browsers, PostCSS, dark mode)
- Progressive loading structure for efficient token usage
- Complete implementation examples with React components
- Interactive preview showcase
Quick Reference
Command Syntax
/memory:style-skill-memory [package-name] [--regenerate]
# Arguments
package-name Style reference package name (required)
--regenerate Force regenerate SKILL.md even if it exists (optional)
Usage Examples
# Generate SKILL memory for package
/memory:style-skill-memory main-app-style-v1
# Regenerate SKILL memory
/memory:style-skill-memory main-app-style-v1 --regenerate
# Package name from current directory or default
/memory:style-skill-memory
Key Variables
Input Variables:
PACKAGE_NAME: Style reference package namePACKAGE_DIR:.workflow/reference_style/${package_name}SKILL_DIR:.claude/skills/style-${package_name}REGENERATE:trueif --regenerate flag,falseotherwise
Data Sources (Phase 2):
DESIGN_TOKENS_DATA: Complete design-tokens.json content (from Read)LAYOUT_TEMPLATES_DATA: Complete layout-templates.json content (from Read)ANIMATION_TOKENS_DATA: Complete animation-tokens.json content (from Read, if exists)
Metadata (Phase 2):
COMPONENT_COUNT: Total componentsUNIVERSAL_COUNT: Universal components countSPECIALIZED_COUNT: Specialized components countUNIVERSAL_COMPONENTS: Universal component names (first 5)HAS_ANIMATIONS: Whether animation-tokens.json exists
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 · 397 lines · 21 tokens per session scan A df31f87b1286
style-skill-memory is a command published in the GitHub repository catlog22/Claude-Code-Workflow (2,134 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 3,732 once invoked, about $0.0001 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 commands, from other repositories
verify-claim
Walk a claim through the SIFT method (Stop, Investigate, Find better coverage, Trace).
beat-brief
Draft a daily beat briefing from the files in sample-docs/.
cross-review
Run GitHub Copilot CLI and OpenAI Codex against the current git diff for cross-model review.
step-research
Always research before proposing a fix. The Untether bug you're chasing is often a known upstream engine quirk, a previously-fixed regression, or a documented config gotcha.
whats-next
Show current project status and suggest next steps.
ox-session-pause
belongs in the ox CLI JSON output (guidance field), not here. Skills are agent-specific wrappers; ox serves all agents (Codex, etc.). --> Suspend the current session recording. Local cache continues to receive entries, but the upload at stop time will exclude the suspended range.