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 skills/docxology/codomyrmex/systems-thinkingnpx skills add docxology/codomyrmex --skill systems-thinkinggit clone --depth 1 https://github.com/docxology/codomyrmexWrote 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/docxology/codomyrmex/systems-thinking)<a href="https://agentmods.dev/skills/docxology/codomyrmex/systems-thinking"><img src="https://agentmods.dev/badge/skills/docxology/codomyrmex/systems-thinking.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 | $0.00029 | $0.00217 |
| Opus 5 | $0.00015 | $0.00109 |
| Sonnet 5 | $0.00006 | $0.00043 |
| Haiku 4.5 | $0.00003 | $0.00022 |
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 4d 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.
What it actually says
Systems Thinking
Use this skill when a local change may alter agent behavior, tool safety, documentation discoverability, operational load, or downstream workflows.
- Define the system boundary, purpose, owners, users, and external dependencies.
- Map inputs, outputs, stocks, flows, constraints, and state transitions.
- Trace direct and indirect dependencies, feedback loops, delays, bottlenecks, and incentives.
- Look for second-order effects: what the change makes easier, harder, more likely, or invisible.
- Prefer interventions at high-leverage points: information quality, interfaces, defaults, feedback, and constraints before adding complexity.
- Define leading indicators, guardrails, rollback conditions, and a verification plan.
Output a small causal map or table plus the proposed intervention, expected downstream effects, risks, and measurements. Treat local optimization as suspect when it worsens system-level outcomes.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 18 lines · 29 tokens per session scan A f65629e3c2c1
systems-thinking is a skill published in the GitHub repository docxology/codomyrmex (11 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 217 once invoked, about $0.0001 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 2026-08-30.
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