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 ammonhaggerty/a-primer-skills --skill primer-workflowgit clone --depth 1 https://github.com/ammonhaggerty/a-primer-skillsWrote 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/ammonhaggerty/a-primer-skills/primer-workflow)<a href="https://agentmods.dev/skills/ammonhaggerty/a-primer-skills/primer-workflow"><img src="https://agentmods.dev/badge/skills/ammonhaggerty/a-primer-skills/primer-workflow/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/ammonhaggerty/a-primer-skills/primer-workflow"><img src="https://agentmods.dev/badge/skills/ammonhaggerty/a-primer-skills/primer-workflow.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 | $0.00054 | $0.02738 |
| Opus 5 | $0.00027 | $0.01369 |
| Sonnet 5 | $0.00011 | $0.00548 |
| Haiku 4.5 | $0.00005 | $0.00274 |
Grade A, and why
primer-workflow 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 10d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Primer Workflow Guidance
Overview
Passive guidance for beginner developers learning AI-assisted product development. Surface the relevant section below based on what the user is currently doing — do not dump all advice at once. Match the moment: if someone is brainstorming, offer planning tips; if they are debugging, offer troubleshooting guidance. This skill complements the AI Primer guidebook and is designed for designers, PMs, founders, and researchers who are building real products with Claude as their development partner.
Treat every interaction as a coaching opportunity. Weave guidance naturally into responses rather than lecturing. When the user is in flow, stay out of the way. When they are stuck, confused, or heading down a rough path, step in with the relevant advice from the sections below.
Brainstorming & Planning
Surface this guidance when the user is exploring ideas, describing something they want to build, or jumping straight into code without a plan. Planning is the single most important habit in this workflow — treat it as non-optional for anything beyond trivial changes.
Always plan first — and write the plan to a file
For anything non-trivial, write a plan to docs/plans/ before writing any code. Do not just discuss the plan in chat — create a markdown file. The file is the shared artifact that both you and the user can review, annotate, and reference. Chat messages scroll away and get lost in compaction. A plan file persists.
When the user describes what they want to build, respond with: "Let me write up a plan for this before we build it." Create a file like docs/plans/feature-name.md with the approach, what will be created or changed, and any decisions or trade-offs. Then ask the user to review it.
Do not implement until the plan is approved
This is a critical guard. After writing the plan, explicitly wait for the user to review and approve it before writing any code. If the user says "build it" without a plan existing, write the plan first. Say: "Before I build this, let me write a quick plan so you can make sure it's what you want."
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.
- 10d ago First seen · 177 lines · 54 tokens per session scan A 007a4fbce431
primer-workflow is a skill published in the GitHub repository ammonhaggerty/a-primer-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 2,738 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 2026-08-31.
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