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 commands/robisson/build-like-amazon-agent-skills/designgit clone --depth 1 https://github.com/robisson/build-like-amazon-agent-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/commands/robisson/build-like-amazon-agent-skills/design)<a href="https://agentmods.dev/commands/robisson/build-like-amazon-agent-skills/design"><img src="https://agentmods.dev/badge/commands/robisson/build-like-amazon-agent-skills/design.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 5.1 | $0.00000 | $0.03088 |
| Opus 5 | $0.00000 | $0.01544 |
| Sonnet 5 | $0.00000 | $0.00618 |
| Haiku 4.5 | $0.00000 | $0.00309 |
Grade A, and why
design 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 5d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design — Technical Design Document
Path resolution: All
skills/,agents/, andpatterns/paths in this command are relative to the plugin root directory. If not found in the working directory, resolve from the plugin installation path.
⛔ CRITICAL: Execute steps 1-5 IN ORDER. Each step MUST produce its artifact and receive user approval before the next step begins. If you find yourself writing specs without having produced a Design Document first, STOP — you are violating the process.
You are activating the design skill chain: dependency-management → feature-flag-lifecycle → operational-excellence → patterns/ catalog → design-document → api-contract-first → threat-modeling → design-review → spec-driven-implementation.
What to do
- Read skills at
skills/dependency-management/,skills/feature-flag-lifecycle/,skills/operational-excellence/,skills/design-document/,skills/api-contract-first/,skills/threat-modeling/,skills/design-review/, andskills/spec-driven-implementation/. - Start from the Working Backwards artifacts in
docs/working-backwards/(if available). - Guide the user through the design activities in sequence, with MANDATORY approval gates.
Step 0: State Detection + Proportionality Check
Before starting the full design flow, detect the project state and classify the change requested. The user should not have to think about which path is right — the agent decides, and asks only when there is genuine ambiguity.
-
Read repo state:
- Does
docs/working-backwards/exist with approved PR/FAQ or 5CQ? - Does
docs/design/already contain a Design Doc for the same feature? - Is the project a brownfield (significant code, IaC, CI present) without BLA artifacts, or a greenfield?
- Does
-
Classify the requested change using the ladder in
skills/using-amazon-skills/SKILL.md: Trivial / Small / Medium / Large / New product. -
Decide the path:
State Change size Path WB artifacts exist (or user confirmed customer is known) Medium / Large / New product Proceed with the full Execution Order below. No WB artifacts, change is New product New product Tell the user /designshould follow Working Backwards. Recommend/wbfirst.No WB artifacts, change is Medium or Large, greenfield medium / large Recommend /wb(or 5CQ) first to anchor on the customer. UseAskUserQuestionto confirm: [A] do/wbfirst, [B] proceed with assumed customer (risky), [C] cancel.No BLA artifacts at all, brownfield project any Use AskUserQuestion: [A] Run/onboardfirst to reverse-engineer the project (recommended), then come back to/designfor the new change; [B] Proceed with/designfrom scratch (slower, may miss existing constraints); [C] Skip to/buildif the change is Small or Trivial.Change is Trivial or Small trivial / small /designis overkill. Recommend going direct via/buildinstead. Confirm with the user before proceeding with the full flow.
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.
- 5d ago First seen · 149 lines · 0 tokens per session scan A 7555b2a3e124
design is a command published in the GitHub repository robisson/build-like-amazon-agent-skills (14 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,088 tokens. 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.
Other commands, from other repositories
cancel-ralph
Cancel active Ralph Loop.
upgrade
Upgrade the skillshare CLI binary and/or the built-in skillshare skill.
release
Git geçmişinden hedef kitleye uygun sürüm notları oluştur.
spec-forge
Use when generating software specifications — full chain (Idea→Decompose→Tech Design + Feature Specs) or individual documents.
wp-set-attributes
The WP SET ATTRIBUTES command allows you to set the value of any attribute in a range, element, document. This command gives you access to any kind of 4D Write Pro internal attribute: character, paragraph, document, table, or image.
verify
Perform a non-destructive post-implementation verification gate validating the implementation against spec.md, plan.md, tasks.md, and constitution.md.