How do I install the Checkpoints Rwb3n Haios skill?

Run npx skillmds@latest add majiayu000/checkpoints-rwb3n-haios in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Checkpoints Rwb3n Haios skill do?

generated: 2025-12-05 It is listed under Security on SkillMD.

Is Checkpoints Rwb3n Haios safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Checkpoints Rwb3n Haios?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Checkpoints Rwb3n Haios free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Checkpoints Rwb3n Haios?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Checkpoints Rwb3n Haios by majiayu000

Name: Checkpoints Rwb3n Haios
Rating: 4.2 (5 reviews)
Author: majiayu000

File contents

generated: 2025-12-05

System Auto: last updated on: 2025-12-05 21:37:15

Session 31: Memory Agent Skill & Search Fix

Date: 2025-12-05 | Agent: Hephaestus (Builder)

Quick Reference

Identity

Agent: Hephaestus (Builder)
Mission: Agent Memory ETL Pipeline
Spec: @docs/specs/TRD-ETL-v2.md
Schema: @docs/specs/memory_db_schema_v3.sql (AUTHORITATIVE)

Status

Component	Status	Details
Memory Agent Skill	CREATED	.claude/skills/memory-agent/SKILL.md
Search Fix	IMPLEMENTED	Awaiting MCP server restart
Embeddings	96.6% (60,279/62,428)	New docs added

Completed This Session

1. Dogfood Complete

Ingested updated docs into memory:

Concepts: 60,446 -> 62,428 (+1,982)
Embeddings: 59,707 -> 60,279 (+572)
Coverage: 96.6% (new concepts pending embedding)

2. Memory Agent Skill Created

Created .claude/skills/memory-agent/SKILL.md - a Claude Code Skill that:

Implements the ReasoningBank CLOSED loop pattern
Is model-invoked (Claude decides when to use it)
Instructs on RETRIEVE -> INJECT -> EXECUTE -> EXTRACT flow

Key innovation: Using Claude Code's native Skills system instead of building a wrapper.

3. Critical Bug Fixes

Fix A: Similarity Threshold Too Strict

File: haios_etl/retrieval.py:160 Change: Threshold 0.8 -> 0.6 Reason: Per Session 30 recommendation, 0.8 was too strict for experiential learning

Fix B: Search Missing 99% of Content

File: haios_etl/database.py:285-351 Problem: search_memories() only queried 572 artifact embeddings, ignoring 59,707 concept embeddings Fix: Added UNION ALL to search both artifact AND concept embeddings

-- Now searches BOTH (was only artifacts)
SELECT ... FROM embeddings e JOIN artifacts a ...
UNION ALL
SELECT ... FROM embeddings e JOIN concepts c ...

Verification: Direct Python test confirms fix works. MCP server requires restart for changes to take effect.

Key Discovery: Search Was Broken

The memory search was essentially non-functional because:

Artifacts = 572 file-level entries
Concepts = 62,428 content-level entries (where knowledge lives)
Search only looked at artifacts (0.9% of content)

This explains why memory_search_with_experience always returned empty results despite having 60k+ embeddings.

Architecture Insight: Skills vs Plugins

Feature	Slash Command	Skill	Plugin
Invocation	User types `/cmd`	Claude decides	User installs
Location	.claude/commands/	.claude/skills/	marketplace
Best for	Explicit workflows	Context-aware help	Distribution

Memory Agent is a Skill because Claude should autonomously decide when to retrieve context or extract learnings.

Pending

MCP Server Restart - Required for search fixes to take effect
Remaining Embeddings - 2,149 concepts need embeddings (96.6% -> 100%)
Test Memory Search - Verify fix works after restart

Handoff Notes

To verify fixes after MCP restart:

memory_search_with_experience(query="HAIOS architecture", space_id="dev_copilot")

Should return concept results, not empty.

HANDOFF STATUS: Prototype complete, awaiting MCP restart for verification

---name: checkpoints-rwb3n-haiosdescription: generated: 2025-12-05---# generated: 2025-12-05# System Auto: last updated on: 2025-12-05 21:37:15# Session 31: Memory Agent Skill & Search Fix## Date: 2025-12-05 | Agent: Hephaestus (Builder)---## Quick Reference### Identity- **Agent:** Hephaestus (Builder)- **Mission:** Agent Memory ETL Pipeline- **Spec:** @docs/specs/TRD-ETL-v2.md- **Schema:** @docs/specs/memory_db_schema_v3.sql (AUTHORITATIVE)### Status| Component | Status | Details ||-----------|--------|---------|| Memory Agent Skill | CREATED | .claude/skills/memory-agent/SKILL.md || Search Fix | IMPLEMENTED | Awaiting MCP server restart || Embeddings | 96.6% (60,279/62,428) | New docs added |---## Completed This Session### 1. Dogfood CompleteIngested updated docs into memory:- Concepts: 60,446 -> 62,428 (+1,982)- Embeddings: 59,707 -> 60,279 (+572)- Coverage: 96.6% (new concepts pending embedding)### 2. Memory Agent Skill CreatedCreated `.claude/skills/memory-agent/SKILL.md` - a Claude Code Skill that:- Implements the ReasoningBank CLOSED loop pattern- Is model-invoked (Claude decides when to use it)- Instructs on RETRIEVE -> INJECT -> EXECUTE -> EXTRACT flowKey innovation: Using Claude Code's native Skills system instead of building a wrapper.### 3. Critical Bug Fixes#### Fix A: Similarity Threshold Too Strict**File:** `haios_etl/retrieval.py:160`**Change:** Threshold 0.8 -> 0.6**Reason:** Per Session 30 recommendation, 0.8 was too strict for experiential learning#### Fix B: Search Missing 99% of Content**File:** `haios_etl/database.py:285-351`**Problem:** `search_memories()` only queried 572 artifact embeddings, ignoring 59,707 concept embeddings**Fix:** Added UNION ALL to search both artifact AND concept embeddings```sql-- Now searches BOTH (was only artifacts)SELECT ... FROM embeddings e JOIN artifacts a ...UNION ALLSELECT ... FROM embeddings e JOIN concepts c ...```**Verification:** Direct Python test confirms fix works. MCP server requires restart for changes to take effect.---## Key Discovery: Search Was BrokenThe memory search was essentially non-functional because:1. Artifacts = 572 file-level entries2. Concepts = 62,428 content-level entries (where knowledge lives)3. Search only looked at artifacts (0.9% of content)This explains why `memory_search_with_experience` always returned empty results despite having 60k+ embeddings.---## Architecture Insight: Skills vs Plugins| Feature | Slash Command | Skill | Plugin ||---------|---------------|-------|--------|| Invocation | User types `/cmd` | Claude decides | User installs || Location | .claude/commands/ | .claude/skills/ | marketplace || Best for | Explicit workflows | Context-aware help | Distribution |Memory Agent is a Skill because Claude should autonomously decide when to retrieve context or extract learnings.---## Pending1. **MCP Server Restart** - Required for search fixes to take effect2. **Remaining Embeddings** - 2,149 concepts need embeddings (96.6% -> 100%)3. **Test Memory Search** - Verify fix works after restart---## Handoff NotesTo verify fixes after MCP restart:```memory_search_with_experience(query="HAIOS architecture", space_id="dev_copilot")```Should return concept results, not empty.---**HANDOFF STATUS: Prototype complete, awaiting MCP restart for verification**

Frequently asked questions

Checkpoints Rwb3n Haios