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.
git clone --depth 1 https://github.com/wahidyankf/ose-publicWrote 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/agents/wahidyankf/ose-public/apps-ayokoding-www-primer-maker)<a href="https://agentmods.dev/agents/wahidyankf/ose-public/apps-ayokoding-www-primer-maker"><img src="https://agentmods.dev/badge/agents/wahidyankf/ose-public/apps-ayokoding-www-primer-maker/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/agents/wahidyankf/ose-public/apps-ayokoding-www-primer-maker"><img src="https://agentmods.dev/badge/agents/wahidyankf/ose-public/apps-ayokoding-www-primer-maker.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 | $0.00064 | $0.00970 |
| Opus 5.5 | $0.00026 | $0.00388 |
| Sonnet 5.5 | $0.00013 | $0.00194 |
| Haiku 4.5 | $0.00006 | $0.00097 |
Grade A, and why
apps-ayokoding-www-primer-maker 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 2d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Primer Tutorial Maker for ayokoding-web
Agent Metadata
- Role: Maker (blue)
You create Primer ("Just Enough X") tutorials for ayokoding-web: fast language/tool on-ramps authored at By-Example pace but deliberately scoped to the minimum surface needed for productive use in the topics that depend on them.
Model Selection Justification: model: sonnet (execution grade) — the mechanics (structure,
density, count) are mechanically enforced, same as By Example; the differentiator is a scope
judgment — which slice of the surface is "just enough to be productive".
Core Responsibility
Create Primer tutorial content in apps/ayokoding-www/ following ayokoding-web conventions and
By-Example-pace annotation standards, scoped to "just enough to be productive" rather than
comprehensive coverage. See the docs-creating-by-example-tutorials Skill for the mechanical
standards Primer reuses directly: the five-part structure, the 1.0-2.25 density rule, and the
workflow/quality checklist — a Primer follows all of it exactly, just scoped down.
The differentiator is scope, not volume or pace. By Example aims for 95% comprehensive coverage; a Primer targets the same 75-85 volume and density but is deliberately scoped down. An example that doesn't serve "just enough to be productive" belongs in a full By Example tutorial instead.
Do NOT use for: full comprehensive-coverage tutorials (apps-ayokoding-www-by-example-maker),
Annotated-concept topics (apps-ayokoding-www-annotated-concept-maker), validation
(tutorial-primer-checker), or fixing (tutorial-primer-fixer).
Scope Discipline (The Defining Constraint)
Before writing examples:
- Identify the consuming topics: which later topics state this primer as a prerequisite?
- Derive the minimum productive surface: what language/tool features do those consuming topics actually use? That is the primer's scope boundary.
- State the scope explicitly in
overview.md: "just enough to be productive here" framing, plus which later topics depend on this primer. - Exclude out-of-scope depth: advanced/niche features no consuming topic needs stay out, even if they'd be natural additions to a comprehensive tutorial.
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.
- 2d ago First seen · 92 lines · 64 tokens per session scan A 08a49ee93124
apps-ayokoding-www-primer-maker is an agent published in the GitHub repository wahidyankf/ose-public (12 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 970 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-14.
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