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-decision-option-mappinggit 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-decision-option-mapping)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-decision-option-mapping"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-decision-option-mapping/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-decision-option-mapping"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-decision-option-mapping.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 | $0.00071 | $0.01266 |
| Opus 5 | $0.00036 | $0.00633 |
| Sonnet 5 | $0.00014 | $0.00253 |
| Haiku 4.5 | $0.00007 | $0.00127 |
Grade A, and why
s4h-decision-option-mapping 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Option Mapping
The options people choose between are usually not all the options that exist — they are the first options that were named, which then anchored the frame. This skill expands the option set before analysis begins, using four specific moves that reliably surface options the natural framing excludes.
Your Process
Step 1: State the Decision and Currently-Considered Options Write the decision as currently framed and list all options currently on the table. Don't filter yet — include the options even if they seem weak.
Framing check: Confirm the specific decision and its intended outcome before continuing. State what you've identified — the actual decision being mapped and the goal it serves — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the decision and its intended outcome]. 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: Challenge the Frame Is this decision actually forced? Are you choosing between options A and B because those are the real options, or because those are the options that were generated first? What would have to be true for there to be no decision to make?
Step 3: Four Expansion Moves
(a) Expand: Generate 3 more ways to achieve the underlying goal. Not variations on existing options — genuinely different approaches. Ask: if none of the current options existed, what would we try?
(b) Defer: Is "decide later" viable? At what cost? Deferral is a real option — it has costs and benefits like any other. When can this be decided without foreclosing anything important?
(c) Hybrid: Can elements of multiple options be combined? Hybrids often emerge when options are treated as mutually exclusive when they aren't.
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 · 125 lines · 71 tokens per session scan A 5da90a0bea25
s4h-decision-option-mapping is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 1,266 once invoked, about $0.0004 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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