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-scope-reductiongit 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-scope-reduction)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-constraint-scope-reduction"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-constraint-scope-reduction/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-scope-reduction"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-constraint-scope-reduction.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 | $0.00062 | $0.01031 |
| Opus 5 | $0.00031 | $0.00515 |
| Sonnet 5 | $0.00012 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
s4h-constraint-scope-reduction 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Constraint Scope Reduction
Scope grows because wants accumulate alongside needs, and no one separates them. This skill forces that separation. The goal is not to build less — it is to find the version where every element is doing real work, and nothing is there because it sounded good in the planning meeting.
Your Process
Step 1: State the Full Current Scope List everything in the current plan, feature set, or requirement. Be complete — you can only strip what you've named.
Framing check: Confirm the constraint and the goal it is blocking before continuing. State what you've identified — the specific scope being reduced and the core job it must accomplish — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the scope and the core job it must accomplish]. 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: Find the Core Job Ask: what is the single verb this must do? Not what it should do, what it must do. Strip all nouns and adjectives until only the job remains. "A user can complete a purchase" is a job. "A seamless, intuitive checkout experience" is not.
Step 3: Classify Each Element — Must or Want For every element in scope: is it required for the core job (must) or desired beyond it (want)? Apply pressure to musts — if you removed it, would the core job fail?
Step 4: Remove All Wants and Test Drop every want. Confirm: can the core job still be done? If yes, the wants were not load- bearing. If no, you've found a hidden must — reclassify and investigate why it felt optional.
Step 5: Simplify the Musts For each must: is there a simpler way to achieve the same outcome? Simpler means fewer moving parts, less code, lower cost, or faster delivery — not necessarily less effort to design.
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 · 108 lines · 62 tokens per session scan A e144c4dabbf8
s4h-constraint-scope-reduction is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 1,031 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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