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 skills add curiositech/some_claude_skills --skill systems-thinkinggit clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote 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/skills/curiositech/some_claude_skills/systems-thinking)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/systems-thinking"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/systems-thinking/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/skills/curiositech/some_claude_skills/systems-thinking"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/systems-thinking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.02418 |
| Opus 5 | $0.00023 | $0.01209 |
| Sonnet 5 | $0.00009 | $0.00484 |
| Haiku 4.5 | $0.00005 | $0.00242 |
Grade A, and why
systems-thinking 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Systems Thinking
Diagnose why systems cause their own behavior and identify structural interventions that produce sustainable change.
When to Use
✅ Use for:
- Persistent problems resistant to repeated solutions
- Unintended consequences from well-intentioned policies
- Exponential growth approaching limits
- Oscillating or eroding performance
- Collective outcomes nobody wants despite individual rationality
- Environmental/resource management
- Organizational dysfunction
- Policy design
- Technology system architecture
❌ NOT for:
- Simple linear causality problems
- One-time events without feedback
- Systems requiring immediate tactical response
- Purely technical optimization without human feedback
Core Process
Systems Analysis Decision Tree
START: Observe problematic behavior
│
├─→ Does behavior persist despite multiple interventions?
│ YES → Likely structural issue, continue
│ NO → May be simple cause-effect, consider other methods
│
├─→ Map the system structure:
│ 1. Plot behavior over time (time graphs, multiple variables)
│ 2. Identify stocks (accumulations)
│ 3. Identify flows (rates filling/draining stocks)
│ 4. Map feedback loops connecting stocks/flows
│ ├─ Balancing loops (goal-seeking, stabilizing)
│ └─ Reinforcing loops (amplifying, exponential)
│ 5. Identify delays between action and response
│
├─→ Recognize archetypal trap pattern:
│ ├─ Multiple actors pulling different directions? → Policy Resistance
│ ├─ Shared resource degrading? → Tragedy of Commons
│ ├─ Standards declining with performance? → Drift to Low Performance
│ ├─ Competitors raising stakes continuously? → Escalation
│ ├─ Intervention creating dependency? → Addiction/Shifting Burden
│ ├─ Rules evaded while appearing compliant? → Rule Beating
│ └─ Optimizing wrong measure? → Seeking Wrong Goal
│
├─→ Choose intervention level (ascending leverage):
│ ├─ LOW: Adjust parameters (numbers, rates, standards)
│ ├─ MID: Restructure information flows to decision-makers
│ ├─ MID: Change rules governing system
│ ├─ HIGH: Add/remove/strengthen feedback loops
│ ├─ HIGH: Enable self-organization capacity
│ ├─ HIGHEST: Shift system goals/purpose
│ └─ TRANSCENDENT: Change paradigm (worldview)
│
└─→ Design feedback-based policy (not static rule):
├─ Creates automatic adjustment based on system state
├─ Strengthens corrective feedback loops
└─ Monitors unintended consequences
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 · 220 lines · 46 tokens per session scan A e771d48ef614
systems-thinking is a skill published in the GitHub repository curiositech/some_claude_skills (219 stars, last pushed 5d ago), licensed MIT. It adds 46 tokens to every session and 2,418 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 2026-09-03.
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