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 fzfclee/consulting-skills --skill systems-thinkinggit clone --depth 1 https://github.com/fzfclee/consulting-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/fzfclee/consulting-skills/systems-thinking)<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/systems-thinking"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-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/fzfclee/consulting-skills/systems-thinking"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/systems-thinking.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00051 | $0.01498 |
| Opus 5.5 | $0.00020 | $0.00599 |
| Sonnet 5.5 | $0.00010 | $0.00300 |
| Haiku 4.5 | $0.00005 | $0.00150 |
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 14d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Systems Thinking
Use this skill to understand how parts of a system interact and why behavior persists over time.
Method Notes
- Systems thinking focuses on relationships, feedback loops, delays, incentives, and patterns.
- It is useful when direct cause-and-effect explanations are too shallow.
- L0 diagnoses dynamic mechanisms and identifies evidence to validate; L1 also evaluates leverage points and stress-tests a proposed intervention. Neither level needs a complicated map for its own sake.
- Keep the system boundary explicit so the analysis stays usable.
Required Inputs
Collect or infer these inputs before execution:
- system or problem boundary
- actors, components, processes, or variables
- repeated pattern or outcome
- incentives, constraints, and feedback signals
- time horizon and behavior-over-time pattern
- time delays or unintended consequences
- evidence for relationship direction, loop logic, and expected trend
If an input is missing, mark it as missing, state the assumption used, and add a validation action.
When Not To Use
Do not use when the issue is a one-off decision with stable criteria. Use decision-matrix, deductive-reasoning, or risk-matrix instead.
Adjacent Methods
five-whys-root-cause: one linear cause chain.fishbone-diagram: several operational cause categories.constraint-analysis: one binding bottleneck.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|---|---|---|
| Select level and boundary | Decision need, scope, time horizon, available evidence. | Choose L0 for a qualitative dynamic map or L1 when a proposed intervention must be stress-tested. State what is inside, outside, and not modeled. | Level statement and system boundary. |
| Describe behavior over time | Outcome history, trend, recurring episodes, baseline. | Describe the pattern before explaining it: growth, decline, oscillation, plateau, overshoot, or repeated return. Mark missing time-series evidence. | Behavior-over-time pattern. |
| Identify key variables | Actors, resources, decisions, behaviors, metrics, constraints. | Keep only variables that can materially change the outcome within the chosen horizon. Mark owner and evidence strength. | Decision-relevant variable list. |
| Map directional relationships | Variables, observations, causal evidence. | For each link, state whether the source increases or decreases the target, assign positive, negative, or unknown polarity, and mark delay and evidence. | Signed relationship map. |
| Close feedback loops | Signed relationships. | Trace closed paths. Label reinforcing loops that amplify change and balancing loops that counter it. Do not call an open chain a loop. | Named R/B loops and dominant conditions. |
| Add delays, incentives, and constraints | Process timing, rules, rewards, decision rights. | Show where response is delayed, which incentives create behavior, and which constraints limit adjustment. | Dynamic mechanism diagnosis. |
| Identify leverage points | Loops, constraints, control rights, intervention options. | For L1, find changes that alter information, incentives, rules, capacity, delay, or decision rights; rate controllability and evidence. For L0, record diagnostic mechanisms and validation needs without requiring ranked leverage points or intervention selection. | L0 diagnostic mechanisms or L1 ranked leverage points. |
| Stress-test intervention | Proposed action, loops, delay, affected actors. | For L1, predict direction over time, lag, compensating response, side effects, and problem displacement; define a lower-regret version. For L0, mark this step N/A because the selected scope is diagnosis only. | L1 intervention stress test. |
| Define learning loop | Expected trend, leading indicators, review cadence. | Set signals, thresholds, owner, review date, and the assumption that must be revised if the pattern differs. | Monitoring and model-revision plan. |
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.
- 14d ago Changed · +3 lines 3ac6e631bd55
- 1mo ago First seen · 103 lines · 51 tokens per session scan A 0d08dc858db2
systems-thinking is a skill published in the GitHub repository fzfclee/consulting-skills (7 stars, last pushed 15d ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,498 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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