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 rjmurillo/ai-agents --skill cynefin-classifiergit clone --depth 1 https://github.com/rjmurillo/ai-agentsWrote 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/rjmurillo/ai-agents/cynefin-classifier)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/cynefin-classifier"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/cynefin-classifier/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/rjmurillo/ai-agents/cynefin-classifier"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/cynefin-classifier.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 | $0.00058 | $0.02944 |
| Opus 5.5 | $0.00023 | $0.01178 |
| Sonnet 5.5 | $0.00012 | $0.00589 |
| Haiku 4.5 | $0.00006 | $0.00294 |
Grade A, and why
cynefin-classifier 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 22d 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 — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cynefin Classifier
Classify problems into the correct Cynefin domain and recommend the appropriate response strategy. This prevents applying the wrong cognitive approach to problems.
Triggers
Activate when the user:
classify this problemcynefin analysiswhat approach should we takeshould we analyze or experimentis this complex or complicated
When to Use
Use this skill when:
- Unsure how to approach a new problem (analyze vs experiment vs act)
- Facing analysis paralysis on a decision
- Team disagrees on whether to research more or start building
- Need to justify an experimental approach to stakeholders
Use decision-critic instead when:
- Problem is already classified as Complicated and you need to validate a specific decision
- You have a concrete proposal to challenge, not a general problem to classify
The Cynefin Framework
UNORDERED ORDERED
┌─────────────────────────────────┬─────────────────────────────────┐
│ COMPLEX │ COMPLICATED │
│ │ │
│ Cause-effect visible only │ Cause-effect discoverable │
│ in retrospect │ through expert analysis │
│ │ │
│ Response: PROBE-SENSE-RESPOND │ Response: SENSE-ANALYZE-RESPOND│
│ • Safe-to-fail experiments │ • Expert consultation │
NOVEL │ • Emergent practice │ • Root cause analysis │ KNOWN
│ • Amplify what works │ • Good practice │
├─────────────────────────────────┼─────────────────────────────────┤
│ CHAOTIC │ CLEAR │
│ │ │
│ No discernible cause-effect │ Cause-effect obvious to all │
│ No time for analysis │ │
│ │ Response: SENSE-CATEGORIZE- │
│ Response: ACT-SENSE-RESPOND │ RESPOND │
│ • Stabilize first │ • Apply best practice │
│ • Novel practice │ • Follow procedures │
│ • Then move to complex │ • Standardize │
└─────────────────────────────────┴─────────────────────────────────┘
CONFUSION (center)
Domain unknown - gather information
What ships with it
4 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.
- 22d ago Changed · +5 lines 7384faf26148
- 1mo ago First seen · 396 lines · 58 tokens per session scan A 693d6b820eed
cynefin-classifier is a skill published in the GitHub repository rjmurillo/ai-agents (48 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 2,944 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 2026-09-03.
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