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 agentmods add skills/wolfenazz/yzpzcode/direction-pickernpx skills add wolfenazz/YzPzCode --skill direction-pickergit clone --depth 1 https://github.com/wolfenazz/YzPzCodeWrote 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/wolfenazz/yzpzcode/direction-picker)<a href="https://agentmods.dev/skills/wolfenazz/yzpzcode/direction-picker"><img src="https://agentmods.dev/badge/skills/wolfenazz/yzpzcode/direction-picker.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00017 | $0.00208 |
| Opus 5 | $0.00009 | $0.00104 |
| Sonnet 5 | $0.00003 | $0.00042 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
direction-picker 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 yesterday.
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.
This is a copy
100% identical to direction-picker — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Direction picker
Generative work benefits from explicit divergence before it converges.
The direction-picker atom asks the agent to draft 3-5 distinct
directions (visual / structural / tonal) and surface them via a
GenUI choice surface so the user picks the winning direction before
the expensive generation pass.
Convergence
The atom completes when the user resolves the choice surface with a
direction id. The agent's next turn must lock onto that direction —
backtracking forces a fresh devloop iteration of the picker stage.
Anti-patterns the prompt fragment forbids
- More than 5 directions on one turn (decision fatigue).
- Two directions that are minor variations of each other.
- Locking the user into a single direction with cosmetic alternates (every direction must be a defensible standalone bet).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 29 lines · 17 tokens per session scan A 7471bd9cdfcc
direction-picker is a skill published in the GitHub repository wolfenazz/YzPzCode (13 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 208 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to direction-picker, differing in 0 lines, and is treated as a copy.
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