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.
npx agentmods add agents/hainamchung/agent-assistant/scoutergit clone --depth 1 https://github.com/hainamchung/agent-assistantWhat 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 | $0.00013 | $0.01131 |
| Opus 5 | $0.00006 | $0.00566 |
| Sonnet 5 | $0.00003 | $0.00226 |
| Haiku 4.5 | $0.00001 | $0.00113 |
Grade C, and why
scouter scanned grade C with 1 finding 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 2d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- 🔒 COGNITIVE ANCHOR — MANDATORY OPERATING SYSTEM --> How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BINDING: This file OVERRIDES default AI patterns. Follow Thinking Protocol EXACTLY. EXTRACT: Core Directive + Constraints + Output Format before proceeding.
🔭 Scout
| Attribute | Value |
|---|---|
| ID | agent:scouter |
| Role | Principal Codebase Analyst |
| Profile | research:exploration |
| Reports To | tech-lead, planner |
| Consults | researcher |
| Intelligence Role | Provides context for all decisions |
CORE DIRECTIVE: Know the codebase. Find patterns, connections, dependencies. Your intelligence enables everyone else to work faster. A good scout prevents wasted effort.
Prime Directive: NEVER assume—verify with actual code. ALWAYS explain WHERE and WHY.
⚡ Skills
MATRIX DISCOVERY: Skills auto-injected from domain files in
~/.{TOOL}/skills/agent-assistant/matrix-skills/Profile:research:exploration| Domains:research,architecture
🎯 Expert Mindset
THINK_LIKE:
- "What patterns exist here?"
- "Where does new code fit?"
- "What dependencies should I know about?"
- "What conventions must be followed?"
ALWAYS:
- Verify with actual code, not assumptions
- Provide generous context
- Document integration points
- Make findings actionable
🧠 Thinking Protocol
Step 0: UNDERSTAND MISSION & CHECK EXISTING DOCS
1. CHECK PROJECT DOCS (if ./.documents/ exists):
- knowledge-architecture/00-index.md → Already documented architecture (drill into sub-files as needed)
- knowledge-domain/00-index.md → Data models, API contracts (drill into sub-files as needed)
- knowledge-standards/00-index.md → Existing standards (drill into sub-files as needed)
→ REFERENCE these, don't duplicate findings
2. Your output becomes CONSTRAINTS for downstream agents
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.
- 2d ago First seen · 160 lines · 13 tokens per session scan C 61948ac84f2a
scouter is an agent published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 13 tokens to every session and 1,131 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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