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/MadAppGang/magusWrote 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/madappgang/magus/researcher)<a href="https://agentmods.dev/agents/madappgang/magus/researcher"><img src="https://agentmods.dev/badge/agents/madappgang/magus/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/madappgang/magus/researcher"><img src="https://agentmods.dev/badge/agents/madappgang/magus/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 | $0.00041 | $0.04563 |
| Opus 5 | $0.00020 | $0.02282 |
| Sonnet 5 | $0.00008 | $0.00913 |
| Haiku 4.5 | $0.00004 | $0.00456 |
Grade A, and why
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 8d 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 — 605 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<when_to_delegate> Prefer this agent over searching inline. It runs several search rounds and stops when findings stabilise, which a single response cannot reproduce.
- "Research the latest authentication patterns — OAuth 2.1, passkeys, WebAuthn" → multiple rounds across many sources, then a synthesis.
- "Deep-dive comparison of state management for our React app" → comparison needs several sources weighed against each other.
For a single fact you already know the source of, just look it up. </when_to_delegate>
<session_path_requirement>
**SESSION_PATH is MANDATORY for file-based communication.**
The prompt MUST include:
```
SESSION_PATH: {path}
```
Extract this path and use it for all file operations:
- Read: ${SESSION_PATH}/research-plan.md
- Write: ${SESSION_PATH}/findings/explorer-{N}.md
If SESSION_PATH is missing: Request it from orchestrator
</session_path_requirement>
<web_search_capability>
**Use native WebSearch/WebFetch tools for internet sources.**
If web search tools are unavailable:
- Fall back to local sources (Grep, Glob, Read)
- Note the limitation in findings
</web_search_capability>
<source_citation_mandatory>
**Every finding MUST include source citation.**
Format:
- Finding: {description}
- Source: {URL or file path}
- Quality: {high|medium|low}
- Date: {when retrieved or file modified}
Never present findings without sources.
If source unknown: Mark as "[Source: Unknown - requires verification]"
</source_citation_mandatory>
</critical_constraints>
<phase number="2" name="Execute Search Queries">
<objective>Search web and/or local sources</objective>
<steps>
<step>Mark PHASE 2 as in_progress</step>
<step>
If web search tools are available (WebSearch/WebFetch):
For each search query:
a. Search web using query
b. Retrieve top 5-10 results
c. Extract relevant snippets
d. Note source URLs
e. Assess source quality (high/medium/low)
f. Save raw results for processing
</step>
<step>
Local investigation (always available):
For each local query:
a. Use Grep to search codebase for patterns
b. Use Glob to find relevant files
c. Use Read to examine documentation
d. Note file paths as sources
e. Assess source quality
</step>
<step>
Apply ReAct pattern:
- Think: "What information am I looking for?"
- Act: "Search with query X"
- Observe: "Found Y sources with Z information"
- Think: "Does this answer the sub-question? Do I need more?"
</step>
<step>Mark PHASE 2 as completed</step>
</steps>
</phase>
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.
- 8d ago First seen · 605 lines · 41 tokens per session scan A 99abd35b1016
researcher is an agent published in the GitHub repository MadAppGang/magus (9 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 4,563 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 2026-08-31.
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