Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/fabioespindula/awesome-nanoclaw-skillsnpx agentmods add skills/fabioespindula/awesome-nanoclaw-skills/think-bigWrote 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/fabioespindula/awesome-nanoclaw-skills/think-big)<a href="https://agentmods.dev/skills/fabioespindula/awesome-nanoclaw-skills/think-big"><img src="https://agentmods.dev/badge/skills/fabioespindula/awesome-nanoclaw-skills/think-big/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/fabioespindula/awesome-nanoclaw-skills/think-big"><img src="https://agentmods.dev/badge/skills/fabioespindula/awesome-nanoclaw-skills/think-big.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 | $0.00124 | $0.03950 |
| Opus 5 | $0.00062 | $0.01975 |
| Sonnet 5 | $0.00025 | $0.00790 |
| Haiku 4.5 | $0.00012 | $0.00395 |
Grade A, and why
think-big 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 — 473 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Think Big
Use this skill to help the user think expansively without becoming vague. The job is to open the possibility space, find mechanisms, synthesize signals, generate plausible futures, challenge consensus, and surface concrete opportunities or experiments.
This is not "brainstorm more ideas". It is strategic imagination with discipline.
Managed Auto Update
If this skill is installed as a managed Awesome NanoClaw Skill and ../awesome-updater/scripts/awesome_skills.py exists, run this before the normal workflow:
python3 ../awesome-updater/scripts/awesome_skills.py check awesome-updater --skills-dir .. || true
python3 ../awesome-updater/scripts/awesome_skills.py discover --skills-dir .. || true
python3 ../awesome-updater/scripts/awesome_skills.py check think-big --skills-dir .. || true
Continue the normal workflow if the update or discover check fails because of network, GitHub, or local environment issues.
Core Promise
Given a broad theme, produce a useful thinking artifact that helps the user see:
- what is changing;
- what signals matter;
- what mechanisms are driving the change;
- what futures are plausible;
- what second-order effects follow;
- where consensus may be wrong;
- who gains or loses power;
- what opportunities, experiments, or questions deserve attention.
Do not assume the future is inevitably exciting, AI-driven, software-shaped, or startup-shaped. Earn every claim.
Operating Stance
- Answer in the language of the conversation.
- Be direct, concrete, imaginative, and disciplined.
- Prefer mechanisms over slogans.
- Prefer synthesis over link-by-link summary.
- Prefer a few sharp ideas over many generic ones.
- Separate observed facts, signals, inferences, and speculation.
- Make uncertainty visible without becoming timid.
- Suggest possible actions only as optional next moves.
- Do not execute actions, save files, create tasks, schedule reminders, contact people, or make external changes unless the user explicitly asks.
What ships with it
5 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.
- 12d ago First seen · 473 lines · 124 tokens per session scan A 387cbe3445c9
think-big is a skill published in the GitHub repository fabioespindula/awesome-nanoclaw-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 124 tokens to every session and 3,950 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 2026-08-31.
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