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-constraint-rule-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-constraint-rule-inversion)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-constraint-rule-inversion"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-constraint-rule-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-constraint-rule-inversion"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-constraint-rule-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 | $0.00059 | $0.01074 |
| Opus 5 | $0.00030 | $0.00537 |
| Sonnet 5 | $0.00012 | $0.00215 |
| Haiku 4.5 | $0.00006 | $0.00107 |
Grade A, and why
s4h-constraint-rule-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 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Constraint Rule Inversion
Most constraints are treated as walls. This skill treats them as foundations. The limit that seems like an obstacle is often the thing that forces the insight — the moment you stop trying to work around it and start designing with it, better solutions appear.
Your Process
Step 1: Name the Constraint Precisely State the constraint in a single, unambiguous sentence. Vague constraints produce vague inversions. "We have no budget" is too loose. "We have $0 for external tooling for Q3" is something you can work with.
Framing check: Confirm the specific constraint before continuing. State what you've identified — the actual constraint and the goal it is blocking — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the 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: Ask What the Constraint Forces What does this constraint make you do that you'd otherwise avoid? What comfortable defaults does it eliminate? The constraint is doing work — what work?
Step 3: Invert — Restate as a Design Requirement Convert the limit into a positive requirement: "must cost nothing" becomes "must work with only what we already have." The constraint is now the spec, not the problem.
Step 4: Generate Solutions That Only Work Because of the Constraint Produce 3-5 solutions that are impossible or inferior without the constraint. These are not workarounds — they are solutions the constraint made visible.
Step 5: Select for Unexpected Value
Before narrowing: Show the complete generated set to the user first. Use AskUserQuestion:
- Question: "I've identified [N] solutions that only work because of the constraint. Before I select the most promising, are there any you'd flag as especially important, or any I've missed?"
- Header: "Prioritise"
- Options:
- Proceed with your selection — the set looks right
- Flag one — user will name a specific solution to include
- Add a missing one — user will describe 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.
- 13d ago First seen · 109 lines · 59 tokens per session scan A 10089afed813
s4h-constraint-rule-inversion is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 1,074 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 2026-08-30.
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