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 oaustegard/claude-skills --skill generative-thinkinggit clone --depth 1 https://github.com/oaustegard/claude-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/oaustegard/claude-skills/generative-thinking)<a href="https://agentmods.dev/skills/oaustegard/claude-skills/generative-thinking"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/generative-thinking/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/oaustegard/claude-skills/generative-thinking"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/generative-thinking.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 | $0.00152 | $0.05303 |
| Opus 5.5 | $0.00061 | $0.02121 |
| Sonnet 5.5 | $0.00030 | $0.01061 |
| Haiku 4.5 | $0.00015 | $0.00530 |
Grade A, and why
generative-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 1mo 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generative Thinking — One Move, Committed
Fixation is the default state. When a generator (human or LLM) has been working on a problem, attention concentrates on the current framing and subsequent ideas tend to be local variations on it. This skill is the interrupt: spend one move stepping sideways, then resume.
The discipline matters more than the move. Pick ONE technique per invocation, run it without second-guessing, and produce explicit reframings or candidate entry points — not a brainstorm list in the same frame.
When to reach for this
Claude activates this skill when:
- The last 2+ iterations are variations of one idea (fixation signal)
- The user says "widen this", "think bigger", "I'm stuck", "what am I missing", "too narrow", "break out of"
- A problem is framed as a binary ("X or Y") and neither option is good
- An agent loop is producing convergent variations — suspect the frame, not the search depth
- The user explicitly wants a pre-mortem on the framing (not the plan) before committing
Do NOT activate this skill as a default before every consequential task — fixation is the trigger, not stakes. If the current frame is working, let it work.
Core discipline
Three rules that apply across every move below. Violations make the output ideation-flavored but structurally identical to what came before.
- Generation before evaluation. De Bono's core distinction: lateral thinking cares about movement value, not truth value. A provocation is not a proposal. Evaluate only after the move has produced 3+ candidate framings.
- One move, committed. Do not rotate through five techniques as a menu. Pick the move that matches the diagnosis, execute it fully, surface what shook loose, then stop. Menus produce noise; commitment produces distance.
- Output framings, not ideas. The deliverable of a generative move is usually a new statement of the problem or a new entry angle, not another solution candidate inside the old frame. If the output could have been produced without the move, the move didn't fire.
What ships with it
3 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.
- 1mo ago Changed · +9 lines 8d01914546b3
- 1mo ago First seen · 191 lines · 152 tokens per session scan A 7df4ee83dac8
generative-thinking is a skill published in the GitHub repository oaustegard/claude-skills (154 stars, last pushed 2d ago), licensed MIT. It adds 152 tokens to every session and 5,303 once invoked, about $0.0006 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 2026-08-30.
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