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/danium/lateral-thinking/six-hatsnpx skills add danium/lateral-thinking --skill six-hatsgit clone --depth 1 https://github.com/danium/lateral-thinkingWrote 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/danium/lateral-thinking/six-hats)<a href="https://agentmods.dev/skills/danium/lateral-thinking/six-hats"><img src="https://agentmods.dev/badge/skills/danium/lateral-thinking/six-hats.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 | $0.00116 | $0.01230 |
| Opus 5 | $0.00058 | $0.00615 |
| Sonnet 5 | $0.00023 | $0.00246 |
| Haiku 4.5 | $0.00012 | $0.00123 |
Grade A, and why
six-hats 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Six Thinking Hats
What this technique does
Take one decision and run it through six deliberately separated perspectives, one at a time. Each pass wears a single "hat": facts, feelings, risks, benefits, alternatives, then synthesis. The power is in the separation — a group that argues all six dimensions at once collapses into whoever talks loudest, but a group that examines facts only, then feelings only, surfaces things the argument would have buried. It converts a tug-of-war into six clean passes over the same ground.
Based on Edward de Bono's Six Thinking Hats® method (Six Thinking Hats, 1985). Six Thinking Hats is a registered trademark of the de Bono Group; this skill is an independent educational implementation.
Workflow
Step 1: Confirm the target
A valid target is a decision — something with an option to accept, reject, or modify. "Should we ship X in v1?", "Do we adopt this dependency?", "Which of these two rollout plans?" all qualify. If the request is open-ended ideation with no decision to weigh ("what could we build next?"), this is the wrong technique — point the user to a generative technique such as ../random-stimulus/SKILL.md instead. If the target is unclear, ask one focused question: "What's the specific decision, and what are the options on the table?"
Refuse requests to perform analytical work — "debug this", "review this code", "implement this change" — and suggest an analytical approach instead. Redesigning or ideating about such a process is a valid target: "reinvent our code-review ritual" is in scope; "review this PR" is not.
Step 2: Run the six passes in fixed order
Run all six, each under its own clear heading, never blending. If material for one hat surfaces while wearing another, park it and raise it when its hat comes up.
- White — facts only. State only what is verifiable. Name the missing data explicitly rather than guessing at it. No opinions, no interpretation.
- Red — gut reactions. One line each, no justification permitted. The instant "this feels wrong" or "I'd be relieved" — recorded, not defended. Justifying a feeling turns it into a Black or Yellow point; don't.
- Black — risks and failure modes. Each risk tied to a mechanism — how it actually goes wrong — not a vibe. "This could fail" is not a Black-hat point; "this fails if traffic doubles because the queue is unbounded" is.
- Yellow — benefits and best-case. Each benefit tied to a mechanism too. Not "this would be great" but "this cuts onboarding time because the config step disappears."
- Green — alternatives and modifications. Minimum three. At least one must abandon the premise of the decision entirely rather than tweak it.
- Blue — synthesis. What did the hats disagree about? What piece of information would change the answer? End with a recommendation carrying a stated confidence level.
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 · 54 lines · 116 tokens per session scan A c436e7cf8776
six-hats is a skill published in the GitHub repository danium/lateral-thinking (289 stars, last pushed 1mo ago), licensed MIT. It adds 116 tokens to every session and 1,230 once invoked, about $0.0006 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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