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 skills add catlog22/Claude-Code-Workflow --skill memory-compactgit 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-compact)<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/memory-compact"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/memory-compact/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/catlog22/claude-code-workflow/memory-compact"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/memory-compact.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 | $0.00019 | $0.03073 |
| Opus 5.5 | $0.00008 | $0.01229 |
| Sonnet 5.5 | $0.00004 | $0.00615 |
| Haiku 4.5 | $0.00002 | $0.00307 |
Grade A, and why
compact 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 1mo 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 — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Compact Command (/memory:compact)
1. Overview
The memory:compact command compresses current session working memory into structured text optimized for session recovery, extracts critical information, and saves it to persistent storage via MCP core_memory tool.
Core Philosophy:
- Session Recovery First: Capture everything needed to resume work seamlessly
- Minimize Re-exploration: Include file paths, decisions, and state to avoid redundant analysis
- Preserve Train of Thought: Keep notes and hypotheses for complex debugging
- Actionable State: Record last action result and known issues
2. Parameters
--description: Custom session description (optional)- Example: "completed core-memory module"
- Example: "debugging JWT refresh - suspected memory leak"
--tags: Comma-separated tags for categorization (optional)--force: Skip confirmation, save directly
3. Structured Output Format
## Session ID
[WFS-ID if workflow session active, otherwise (none)]
## Project Root
[Absolute path to project root, e.g., D:\Claude_dms3]
## Objective
[High-level goal - the "North Star" of this session]
## Execution Plan
[CRITICAL: Embed the LATEST plan in its COMPLETE and DETAILED form]
### Source: [workflow | todo | user-stated | inferred]
<details>
<summary>Full Execution Plan (Click to expand)</summary>
[PRESERVE COMPLETE PLAN VERBATIM - DO NOT SUMMARIZE]
- ALL phases, tasks, subtasks
- ALL file paths (absolute)
- ALL dependencies and prerequisites
- ALL acceptance criteria
- ALL status markers ([x] done, [ ] pending)
- ALL notes and context
Example:
## Phase 1: Setup
- [x] Initialize project structure
- Created D:\Claude_dms3\src\core\index.ts
- Added dependencies: lodash, zod
- [ ] Configure TypeScript
- Update tsconfig.json for strict mode
## Phase 2: Implementation
- [ ] Implement core API
- Target: D:\Claude_dms3\src\api\handler.ts
- Dependencies: Phase 1 complete
- Acceptance: All tests pass
</details>
## Working Files (Modified)
[Absolute paths to actively modified files]
- D:\Claude_dms3\src\file1.ts (role: main implementation)
- D:\Claude_dms3\tests\file1.test.ts (role: unit tests)
## Reference Files (Read-Only)
[Absolute paths to context files - NOT modified but essential for understanding]
- D:\Claude_dms3\.claude\CLAUDE.md (role: project instructions)
- D:\Claude_dms3\src\types\index.ts (role: type definitions)
- D:\Claude_dms3\package.json (role: dependencies)
## Last Action
[Last significant action and its result/status]
## Decisions
- [Decision]: [Reasoning]
- [Decision]: [Reasoning]
## Constraints
- [User-specified limitation or preference]
## Dependencies
- [Added/changed packages or environment requirements]
## Known Issues
- [Deferred bug or edge case]
## Changes Made
- [Completed modification]
## Pending
- [Next step] or (none)
## Notes
[Unstructured thoughts, hypotheses, debugging trails]
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.
- 1mo ago First seen · 382 lines · 19 tokens per session scan A 4ea878a548bc
compact is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,124 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 3,073 once invoked, about $0.0001 per session on Opus 5.5. 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
kn-init
Use at the start of a new session to read project docs, understand context, and see current state.
alive:mine-for-context
Deep context extraction from source material. Creates reference bundles, builds extraction plans, tracks what's been extracted, and discovers new targets — people, subjects, patterns, connections. The archaeologist that turns raw sources into structured knowledge. Can be invoked by alive:session-history for targeted…
lov-search-chat
A local search tool for recalling relevant parts of earlier AI conversations from an indexed memory store. It returns matching sessions and identifiable excerpts from the original conversations.
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.
alive-mine
Nightly scan of session transcripts -- extract decisions, tasks, people, insights.