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 OKHP3/skillz --skill okhp3-askjamie-style-registrygit clone --depth 1 https://github.com/OKHP3/skillzWrote 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/okhp3/skillz/okhp3-askjamie-style-registry)<a href="https://agentmods.dev/skills/okhp3/skillz/okhp3-askjamie-style-registry"><img src="https://agentmods.dev/badge/skills/okhp3/skillz/okhp3-askjamie-style-registry/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/okhp3/skillz/okhp3-askjamie-style-registry"><img src="https://agentmods.dev/badge/skills/okhp3/skillz/okhp3-askjamie-style-registry.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00120 | $0.02075 |
| Opus 5 | $0.00060 | $0.01038 |
| Sonnet 5 | $0.00024 | $0.00415 |
| Haiku 4.5 | $0.00012 | $0.00208 |
Grade A, and why
okhp3-askjamie-style-registry 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 8d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
okhp3-askjamie-style-registry
OverKill Hill P³ · overkillhill.com · github.com/OKHP3
Build a durable library of named visual profiles, then use it to create work that feels intentionally aligned instead of generically themed. Treat a profile as design evidence and reusable direction, not as permission to copy another organization’s identity.
This skill has two operating modes: capture a source into a named profile, or apply one or more existing profiles to a target. Keep those modes separate. A capture updates the library only after provenance and confidence are recorded; an application changes the target only after the profile roles and target boundaries are explicit.
Brand-specific overlay
Before applying this workflow, read references/brand-overlay.md. The overlay adds AskJamie source routing, visual vocabulary, and application boundaries; it does not override provenance, privacy, evidence, or approval gates.
Scope
| In scope | Out of scope |
|---|---|
| Websites, CSS, visual documents, presentations, infographics, and image assets | Logo recreation, trademark clearance, or identity theft |
| SPA styling, documentation direction, presentation direction, and image briefs | Applying styles with no target owner approval |
| One primary style with carefully bounded supporting styles | Silent palette, type, or layout averaging |
Profile library model
Store each style in its own profile file and list it in a registry. There is no fixed profile limit. The separation preserves provenance, makes profiles independently reusable, and prevents a later capture from overwriting an established identity.
Use this layout unless the target repository already has a stronger convention:
brand-styles/
registry.yaml
profiles/
<style-id>.yaml
If the target repository already has a style-library convention, preserve it and map the same profile fields into that convention. Do not create a second registry merely because the directory name differs.
What ships with it
18 files 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.
- agents/openai.yaml 273 B
- assets/profile-seeds/askjamie.yaml 3.4 KB
- assets/profile-seeds/glee-fully.yaml 3.3 KB
- assets/profile-seeds/overkill-hill.yaml 3.6 KB
- assets/specialization-seeds/okhp3-askjamie-brand/agents/openai.yaml 241 B
- assets/specialization-seeds/okhp3-askjamie-brand/SKILL.md.template 2.3 KB
- assets/specialization-seeds/okhp3-glee-fully-brand/agents/openai.yaml 253 B
- assets/specialization-seeds/okhp3-glee-fully-brand/SKILL.md.template 2.3 KB
- assets/specialization-seeds/okhp3-overkill-hill-brand/agents/openai.yaml 265 B
- assets/specialization-seeds/okhp3-overkill-hill-brand/SKILL.md.template 2.4 KB
- assets/specialization-seeds/README.md 1.3 KB
- assets/style-library.example.yaml 620 B
- evals/evals.json 2.1 KB
- references/application-playbook.md 2.4 KB
- references/brand-overlay.md 1017 B
- references/source-sampling.md 3.3 KB
- references/style-profile-schema.md 4.1 KB
- scripts/extract_css_signals.py 3.4 KB runs code
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.
- 8d ago First seen · 166 lines · 120 tokens per session scan A a26e1e844058
okhp3-askjamie-style-registry is a skill published in the GitHub repository OKHP3/skillz (3 stars, last pushed today), licensed MIT. It adds 120 tokens to every session and 2,075 once invoked, about $0.0006 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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