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/tupe12334/instinct/cynefin-frameworknpx skills add tupe12334/instinct --skill cynefin-frameworkgit clone --depth 1 https://github.com/tupe12334/instinctWrote 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/tupe12334/instinct/cynefin-framework)<a href="https://agentmods.dev/skills/tupe12334/instinct/cynefin-framework"><img src="https://agentmods.dev/badge/skills/tupe12334/instinct/cynefin-framework.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 | $0.00026 | $0.02809 |
| Opus 5 | $0.00013 | $0.01404 |
| Sonnet 5 | $0.00005 | $0.00562 |
| Haiku 4.5 | $0.00003 | $0.00281 |
Grade A, and why
cynefin-framework 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.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cynefin Framework
Overview
Cynefin (pronounced "ku-NEV-in") is a sense-making framework developed by Dave Snowden that helps you identify which type of context you are operating in before choosing how to respond. The core insight is that different domains require fundamentally different decision-making approaches — a method that works brilliantly in one domain can be catastrophically wrong in another.
COMPLICATED │ COMPLEX
Cause & effect need analysis │ Cause & effect only visible
Expert judgment required │ in retrospect; experiment first
Sense → Analyze → Respond │ Probe → Sense → Respond
│
─────────────────────────────────┼─────────────────────────────────
│
CLEAR │ CHAOTIC
Cause & effect are obvious │ No discernible cause & effect
Best practice applies │ Act first to establish order
Sense → Categorize → Respond │ Act → Sense → Respond
│
┌────────┴────────┐
│ CONFUSED │
│ (you don't │
│ know which │
│ domain you're │
│ in yet) │
└─────────────────┘
The most dangerous move is applying the wrong domain's logic — treating a complex problem with best-practice checklists, or stalling on analysis during a crisis that demands immediate action.
Domain Definitions
Clear (formerly "Obvious")
Cause and effect are self-evident to any reasonable person. The right answer is known; it is a matter of following established process. Examples: processing a standard expense report, resetting a password, filing a tax return.
- Action: Sense → Categorize → Respond
- Use: best practice, standard operating procedures, automation
Complicated
Cause and effect exist but require expertise to see. Multiple valid approaches exist; an expert can determine which is best through analysis. Examples: designing a software architecture, performing surgery, diagnosing a mechanical failure.
- Action: Sense → Analyze → Respond
- Use: expert judgment, structured analysis, good practice (not one single best practice)
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 · 179 lines · 26 tokens per session scan A 7c2a4d64c563
cynefin-framework is a skill published in the GitHub repository tupe12334/instinct (1 stars, last pushed 18d ago), licensed MIT. It adds 26 tokens to every session and 2,809 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 2026-08-31.
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