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 ysskrishna/ai-agent-skills --skill six-thinking-hatsgit clone --depth 1 https://github.com/ysskrishna/ai-agent-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/ysskrishna/ai-agent-skills/six-thinking-hats)<a href="https://agentmods.dev/skills/ysskrishna/ai-agent-skills/six-thinking-hats"><img src="https://agentmods.dev/badge/skills/ysskrishna/ai-agent-skills/six-thinking-hats/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/ysskrishna/ai-agent-skills/six-thinking-hats"><img src="https://agentmods.dev/badge/skills/ysskrishna/ai-agent-skills/six-thinking-hats.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 | $0.00157 | $0.01450 |
| Opus 5 | $0.00078 | $0.00725 |
| Sonnet 5 | $0.00031 | $0.00290 |
| Haiku 4.5 | $0.00016 | $0.00145 |
Grade A, and why
six-thinking-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 12d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Six Thinking Hats
Six Thinking Hats (Edward de Bono) is a parallel thinking method for a single focus question. Rather than mixing logic, emotion, optimism, and critique in one back-and-forth, the thinker or group takes six complementary roles in sequence, all wearing the “same hat” at each step. That keeps facts, gut reactions, risks, upsides, and new ideas from talking past each other.
Each hat’s meaning, constraints, and bullet formats are defined once in The Hats; the closing Blue pass is in Blue Synthesis.
How to run it with this skill: one hat per section, clearly labelled; never mix two hats in the same section; always close with Blue synthesis that integrates earlier hats and adds no new facts, risks, ideas, or recommendations beyond what those hats produced.
Setup (run before starting)
Before executing hats, establish in one short block:
- Focus question — one sentence
- Mode — which hat set (see table below); default: Full
- Depth — how much detail per hat (see table below); default: Standard
- Hat order — list the sequence you'll follow
If critical information is missing, ask at most 3 questions in one message, then proceed. Note any remaining gaps or working guesses in plain language (no bracket tags in Setup).
Modes
| Mode | Hats | Use for |
|---|---|---|
| Full (default) | Blue → White → Red → Black → Yellow → Green → Blue | Broad decisions, full-spectrum reasoning |
| Creative | Blue → Green → Yellow → Red → Blue | Idea generation; skips Black to avoid premature criticism |
| Risk | Blue → White → Black → Blue | Risk scans and failure prevention |
| Decision | Blue → White → Black → Yellow → Blue | Go/no-go decisions; skips Red and Green |
| Custom | User-defined + Blue at end | User-directed; confirm order before starting |
Custom mode: only the six standard hats are allowed. Blue synthesis is always required at the end — add it silently if the user omits it.
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.
- 12d ago First seen · 147 lines · 157 tokens per session scan A ac262ce182f8
six-thinking-hats is a skill published in the GitHub repository ysskrishna/ai-agent-skills (8 stars, last pushed 3mo ago), licensed MIT. It adds 157 tokens to every session and 1,450 once invoked, about $0.0008 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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