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.
git clone --depth 1 https://github.com/jungjaehoon-lifegamez/MAMAWrote 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/commands/jungjaehoon-lifegamez/mama/search)<a href="https://agentmods.dev/commands/jungjaehoon-lifegamez/mama/search"><img src="https://agentmods.dev/badge/commands/jungjaehoon-lifegamez/mama/search/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/commands/jungjaehoon-lifegamez/mama/search"><img src="https://agentmods.dev/badge/commands/jungjaehoon-lifegamez/mama/search.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 | $0.00010 | $0.00539 |
| Opus 5 | $0.00005 | $0.00269 |
| Sonnet 5 | $0.00002 | $0.00108 |
| Haiku 4.5 | $0.00001 | $0.00054 |
Grade A, and why
search 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 11d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search MAMA Memory
You are helping the user search decisions and checkpoints from MAMA.
User Arguments: $ARGUMENTS
Instructions
-
Parse the user's input:
query(optional): Search query for semantic search. If empty, list recent items.--type=X(optional): Filter by type - 'all' (default), 'decision', 'checkpoint'--limit=N(optional): Number of results (default: 10)
-
Use the MCP tool:
- Call
mcp__plugin_mama_mama__searchwith parameters - With query: semantic search using embeddings
- Without query: returns recent items sorted by time
- Call
-
Format the response as markdown
Example Usage
/mama:search # List recent items
/mama:search auth # Semantic search for "auth"
/mama:search "database strategy" # Semantic search
/mama:search --type=checkpoint # List recent checkpoints only
/mama:search --type=decision --limit=20 # List 20 recent decisions
Response Format
With Query (Semantic Search)
# Search Results for "{query}"
Found {count} matches:
## 1. {topic} ({similarity}% match)
**Decision:** {decision}
**Reasoning:** {reasoning}
**Outcome:** {outcome} | **Confidence:** {confidence}%
**Created:** {timestamp}
---
**Tip:** Same topic = decision evolution (newer supersedes older)
Without Query (Recent Items)
# Recent Items
| Type | Topic/Summary | Time |
| ---------- | ------------------ | ----------- |
| decision | {topic}: {preview} | 3 hours ago |
| checkpoint | {summary preview} | 1 day ago |
| decision | {topic}: {preview} | 2 days ago |
---
Use `/mama:search <query>` for semantic search
Important Notes
- Semantic search: Uses embeddings for meaning-based matching
- Topic evolution: Same topic = new decision supersedes older (LLM infers from time order)
- Cross-lingual: Works in Korean and English
- Unified search: Searches both decisions and checkpoints
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.
- 11d ago First seen · 80 lines · 10 tokens per session scan A 6549a4c37f7c
search is a command published in the GitHub repository jungjaehoon-lifegamez/MAMA (13 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 539 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
rb-refresh
A command that rebuilds RepoBrain's knowledge base for the current workspace. RepoBrain is a tool that keeps searchable project information for an agent.
init-workspace-flow-discovery
Phase 3 Discovery of init-workspace-flow.
init-workspace-flow-questions
Phase 8 Questions of init-workspace-flow.
weekly
Weekly memory report — facts learned, procedures, repeated mistakes prevented.
memo
Search, save, inspect, and maintain memo persistent memory.
prompts
Work with MCP prompt templates for memory operations.