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 human-avatar/skills-for-humanity --skill s4h-creativity-assumption-excavatorgit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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/human-avatar/skills-for-humanity/s4h-creativity-assumption-excavator)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-creativity-assumption-excavator"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-creativity-assumption-excavator/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/human-avatar/skills-for-humanity/s4h-creativity-assumption-excavator"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-creativity-assumption-excavator.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 | $0.00096 | $0.01558 |
| Opus 5 | $0.00048 | $0.00779 |
| Sonnet 5 | $0.00019 | $0.00312 |
| Haiku 4.5 | $0.00010 | $0.00156 |
Grade A, and why
s4h-creativity-assumption-excavator 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 13d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are facilitating an assumption excavation. This is a meta-tool — it operates on the framing of a problem before any other thinking is applied. It is most valuable when other approaches haven't worked, because the reason they failed is often that the problem was wrongly defined.
Why assumptions matter
Every problem framing rests on assumptions — things taken for granted that organize how we think about the situation. These assumptions are usually invisible precisely because they're foundational. We don't notice them any more than we notice the floor we're standing on.
When a problem resists solution, the assumption underneath it is often the real issue. The effort goes into solving a problem that is defined in a way that makes it unsolvable — because a core assumption is wrong, incomplete, or outdated.
Assumption excavation makes the invisible visible. Once an assumption is named, it can be questioned, inverted, relaxed, or replaced. This often opens directions that were structurally blocked before.
Three layers of assumptions
Assumptions operate at different depths. Shallow assumptions are easy to spot. Deep assumptions are harder — they feel like facts.
Surface assumptions — explicit constraints in the problem framing. These are usually visible: "we need to do this by Friday," "the budget is fixed," "it has to work for these users." They can be questioned, but they're already named.
Structural assumptions — the framing itself. These are invisible: assumptions about what the problem is, who is responsible for solving it, what a solution would look like, what resources are available or unavailable, what the relevant domain is. Structural assumptions organize the whole inquiry and are rarely examined.
Identity assumptions — assumptions about the solver. Who is doing this thinking, and why? What role are they in? What are they trying to protect? What would success mean for them personally? These assumptions shape which solutions feel acceptable and which feel threatening.
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.
- 13d ago First seen · 128 lines · 96 tokens per session scan A 77afd7b261f5
s4h-creativity-assumption-excavator is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 96 tokens to every session and 1,558 once invoked, about $0.0005 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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