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-play-constraint-inversiongit 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-play-constraint-inversion)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-play-constraint-inversion"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-play-constraint-inversion/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-play-constraint-inversion"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-play-constraint-inversion.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 | $0.00069 | $0.01392 |
| Opus 5 | $0.00034 | $0.00696 |
| Sonnet 5 | $0.00014 | $0.00278 |
| Haiku 4.5 | $0.00007 | $0.00139 |
Grade A, and why
s4h-play-constraint-inversion 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 9d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Play: Constraint Inversion
Most constraints are treated as fixed when they are actually assumed. The ones that are genuinely fixed are fewer than people believe — and the ones that are assumed become invisible over time because they've been treated as given for so long. Inverting a constraint — imagining its complete opposite — reveals what underlying goal it has been blocking and often generates solutions that work within the real constraint once the goal becomes visible.
Your Process
Step 1: Name the Main Constraint What is the primary constraint on the current problem or design? Be specific — not "we don't have enough resources" but "we have 6 weeks and two engineers available after existing commitments." Not "the budget is limited" but "the approved budget is $40k with no variance mechanism." Specificity matters because vague constraints produce vague inversions.
Framing check: Confirm the specific constraint and the goal it is blocking before continuing. State what you've identified — the actual constraint and what it is preventing — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the specific constraint and the goal it blocks]. Is that right?"
- Header: "Framing"
- Options:
- Yes — proceed — framing is correct
- Adjust — one element is off; user will correct it before you continue
- Reframe — different situation than read; incorporate the correction before proceeding
Step 2: Invert Completely State the opposite world. Don't soften or partially invert — flip it completely. "6 weeks and two engineers" becomes "18 months and a team of twelve." "Budget of $40k" becomes "unlimited funding with board approval." The inversion should feel unrealistic. That is the design — if it feels achievable, it isn't inverted enough.
Step 3: Generate Freely in the Inverted World What would you do if the constraint were fully removed? Generate without filtering. No "but we can't" or "in reality though" — those are prohibited at this stage. Generate the full set of unconstrained approaches you can identify.
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.
- 9d ago First seen · 130 lines · 69 tokens per session scan A 2a4cd890a4f3
s4h-play-constraint-inversion is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,392 once invoked, about $0.0003 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 2026-09-03.
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