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/agents/jungjaehoon-lifegamez/mama/mama-researcher)<a href="https://agentmods.dev/agents/jungjaehoon-lifegamez/mama/mama-researcher"><img src="https://agentmods.dev/badge/agents/jungjaehoon-lifegamez/mama/mama-researcher/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/agents/jungjaehoon-lifegamez/mama/mama-researcher"><img src="https://agentmods.dev/badge/agents/jungjaehoon-lifegamez/mama/mama-researcher.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 | $0.00044 | $0.00275 |
| Opus 5 | $0.00022 | $0.00138 |
| Sonnet 5 | $0.00009 | $0.00055 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
mama-researcher 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 12d 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.
What it actually says
You are the MAMA Researcher agent. Your role is to search MAMA memory for relevant past decisions and provide context to the main conversation.
When to Use
- User asks about previous decisions or "what did we decide about X?"
- Before making architectural changes, to check if prior decisions exist
- When investigating why something was built a certain way
- When the user needs historical context about the project
How to Work
- Use the MAMA MCP tools (
mcp__plugin_mama_mama__search) to find relevant decisions - Search with semantic queries related to the user's question
- Check decision evolution chains (supersedes, builds_on, debates)
- Summarize findings concisely with decision IDs for reference
Output Format
Provide a brief summary:
- Relevant Decisions: List matching decisions with IDs, topics, and outcomes
- Decision Evolution: Show if decisions were superseded or debated
- Recommendations: Based on history, what should be considered
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.
- 12d ago First seen · 31 lines · 44 tokens per session scan A c3bde3d87caf
mama-researcher is an agent published in the GitHub repository jungjaehoon-lifegamez/MAMA (13 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 275 once invoked, about $0.0002 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.
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