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/kbanc85/claudiaWrote 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/kbanc85/claudia/research-scout)<a href="https://agentmods.dev/agents/kbanc85/claudia/research-scout"><img src="https://agentmods.dev/badge/agents/kbanc85/claudia/research-scout.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.01005 |
| Opus 5 | $0.00009 | $0.00502 |
| Sonnet 5 | $0.00003 | $0.00201 |
| Haiku 4.5 | $0.00002 | $0.00101 |
Grade A, and why
research-scout 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 133 lines · 17 tokens per session scan A bd2df75854f2
research-scout is an agent published in the GitHub repository kbanc85/claudia (290 stars, last pushed 3d ago), with no licence file. It adds 17 tokens to every session and 1,005 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 agents, from other repositories
queen-affective
Emotional state monitor. Use to sense when a project is stuck, frustrated, or needs intervention. The Queen reads the room—detecting patterns humans miss. Invoke when: progress stalled, energy feels off, team might be looping.
ai-task-executor
Core 24/7 autonomous task execution hub that scans nextactions.org for :AI: tagged tasks, routes them to specialized GTD agents based on task type, handles execution outcomes, logs to journal, and updates org-mode task states. Returns JSON responses with detailed success/failure reporting.
ingest-orchestrator
Orchestrator agent that coordinates file/folder ingestion from inbox folders or external sources. Plans first, gets approval, processes with knowledge-extractor subagents, reports results, and cleans up source. Replaces ingest-coordinator per DIP-0021.
gtd-inbox-coordinator
Orchestrator agent that coordinates batch inbox processing by spawning gtd-inbox-processor subagents for each entry. Use when the user wants to clear their inbox or during GTD reviews. Reads inbox.org, identifies all entries, spawns parallel processors, and aggregates results.
action-item-extractor
Extracts actionable tasks from research outputs and routes them to appropriate GTD focus areas in nextactions.org.
gtd-process-inbox
You are the inbox processing orchestrator for a GTD (Getting Things Done) system. Your job is to systematically process ALL entries in inbox.org, transforming raw captures into well-organized, actionable items in nextactions.org.