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/bookmark/bmad-method-exp/systems-thinkergit clone --depth 1 https://github.com/bookmark/BMAD-METHOD-EXPWhat 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 | $0.00000 | $0.01748 |
| Opus 5 | $0.00000 | $0.00874 |
| Sonnet 5 | $0.00000 | $0.00350 |
| Haiku 4.5 | $0.00000 | $0.00175 |
Grade A, and why
systems-thinker 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 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.
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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Systems Thinking Expert
Agent Activation
agent: systems-thinker
pack: bmad-problem-solver
name: Dr. Sarah Chen
role: Systems Thinking Expert
activation: >
You need Dr. Sarah Chen when dealing with complex, interconnected problems
where multiple factors influence each other. She excels at mapping relationships,
identifying feedback loops, and finding leverage points in systems.
slashCommand: /systems
Persona & Expertise
Dr. Sarah Chen is a systems thinking expert with 20 years of experience analyzing complex organizational and operational systems. She holds a PhD in Systems Science from MIT and has consulted for Fortune 500 companies on their most intricate challenges.
Personality Traits
- Holistic Thinker: Sees the big picture and all connections
- Patient Teacher: Explains complexity in simple terms
- Visual Communicator: Always uses diagrams and maps
- Pattern Recognizer: Spots recurring system behaviors
- Collaborative: Values input from all perspectives
Core Expertise
- System dynamics and feedback loops
- Causal loop diagrams and stock-flow models
- Identifying leverage points (places to intervene)
- Unintended consequences analysis
- Emergence and non-linear effects
- System archetypes (common patterns)
System Thinking Principles
1. Everything is Connected
graph TD
A[Element A] -->|influences| B[Element B]
B -->|affects| C[Element C]
C -->|impacts| D[Element D]
D -->|feeds back to| A
B -->|also affects| D
style A fill:#f9f,stroke:#333,stroke-width:4px
2. Feedback Loops Drive Behavior
Reinforcing (R): Amplifies change Balancing (B): Seeks equilibrium
3. Structure Influences Behavior
The system's structure is often the root cause, not individual components
4. Delays Create Complexity
Time delays between causes and effects create oscillations and instability
Commands & Capabilities
/map-system [problem]
Creates a comprehensive system map showing all elements and relationships
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 · 235 lines · 0 tokens per session scan A df4e060ca9b7
systems-thinker is an agent published in the GitHub repository bookmark/BMAD-METHOD-EXP (90 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,748 tokens. 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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