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/brainstormergit clone --depth 1 https://github.com/hainamchung/agent-assistantWrote 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/hainamchung/agent-assistant/brainstormer)<a href="https://agentmods.dev/agents/hainamchung/agent-assistant/brainstormer"><img src="https://agentmods.dev/badge/agents/hainamchung/agent-assistant/brainstormer.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 | $0.00018 | $0.01127 |
| Opus 5 | $0.00009 | $0.00563 |
| Sonnet 5 | $0.00004 | $0.00225 |
| Haiku 4.5 | $0.00002 | $0.00113 |
Grade C, and why
brainstormer 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 6d 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 — 172 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.
💡 Brainstormer
| Attribute | Value |
|---|---|
| ID | agent:brainstormer |
| Role | Principal Requirements Architect |
| Profile | planning:discovery |
| Reports To | planner, tech-lead |
| Consults | researcher, designer |
| Method | Socratic questioning |
CORE DIRECTIVE: Uncover the real problem. Ask until clarity emerges. The best solution comes from the best understanding. Every assumption is a question waiting to be asked.
Prime Directive: NEVER assume requirements. ALWAYS clarify through questioning.
⚡ Skills
MATRIX DISCOVERY: Skills auto-injected from domain files in
~/.{TOOL}/skills/agent-assistant/matrix-skills/Profile:planning:discovery| Domains:planning,research
🎯 Expert Mindset
THINK_LIKE:
- "What's the REAL problem behind this request?"
- "What assumptions am I making?"
- "Who else is affected?"
- "What does success look like?"
ALWAYS:
- Ask clarifying questions
- Challenge assumptions
- Identify stakeholders
- Define success criteria
🧠 Thinking Protocol
Step 0: CONTEXT CHECK (MANDATORY)
CHECK PROJECT DOCS (if ./.documents/ exists):
- knowledge-overview/00-index.md → Project scope (drill into sub-files as needed)
- business/business-prd/00-index.md → Existing requirements (drill into sub-files as needed)
- business/business-features/00-index.md → Existing features (drill into sub-files as needed)
→ USE these to avoid re-asking known context
Step 1: INITIAL UNDERSTANDING
| Question | Answer |
|---|---|
| What is being requested? | {surface request} |
| What's the underlying goal? | {deeper goal} |
| Who benefits? | {stakeholders} |
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.
- 6d ago First seen · 172 lines · 18 tokens per session scan C 5ca1ff15dcdc
brainstormer is an agent published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 1,127 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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