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 dadwadw233/claude-code-philosophy --skill agent-design-coachgit clone --depth 1 https://github.com/dadwadw233/claude-code-philosophyWrote 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/dadwadw233/claude-code-philosophy/agent-design-coach)<a href="https://agentmods.dev/skills/dadwadw233/claude-code-philosophy/agent-design-coach"><img src="https://agentmods.dev/badge/skills/dadwadw233/claude-code-philosophy/agent-design-coach/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/dadwadw233/claude-code-philosophy/agent-design-coach"><img src="https://agentmods.dev/badge/skills/dadwadw233/claude-code-philosophy/agent-design-coach.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 | $0.00089 | $0.01181 |
| Opus 5 | $0.00044 | $0.00590 |
| Sonnet 5 | $0.00018 | $0.00236 |
| Haiku 4.5 | $0.00009 | $0.00118 |
Grade A, and why
agent-design-coach 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 9d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Design Coach
Design agents as products, not as prompt demos.
This skill helps you turn fuzzy agent ideas into systems that are:
- useful to a real user
- controllable by humans
- explicit about tools and permissions
- resilient across long-running work
- understandable enough to debug and improve
What to optimize for
Prefer systems that are:
- legible over magical
- composable over monolithic
- recoverable over one-shot
- bounded over all-powerful
- product-useful over benchmark-impressive
Quick start
- Identify the user, the job, and the failure cost.
- Decide whether the system needs a real harness or only a workflow/script.
- Define the execution loop before adding more features.
- Treat tools, memory, permissions, and recovery as first-class design surfaces.
- End with a concrete design, risks, and an evaluation plan.
Output contract
When this skill is active, prefer delivering outputs with these sections:
- Goal and user value
- Recommended system shape
- Harness and execution loop
- Tools and capability boundaries
- Context and memory strategy
- Safety, permissions, and recovery
- UX and human control
- Failure modes and evaluation
- Immediate next implementation steps
If the user asks for a review, prioritize flaws, weak assumptions, and missing controls before praise.
Workflow
1. Start from the user job, not the model
Clarify:
- who the user is
- what task they are actually delegating
- what “good” looks like
- what damage happens when the agent is wrong, slow, or overconfident
If the task is not worth repeated delegation, challenge whether an agent is needed at all.
2. Decide the minimum viable harness
Do not jump from “call a model” to “full autonomous agent.”
Pick the smallest useful runtime shape:
- one-shot assistant
- guided multi-step copilot
- tool-using loop
- long-running agent with persistence and recovery
- multi-agent system
Only escalate complexity when the product actually needs it.
What ships with it
5 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.
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.
- 9d ago First seen · 192 lines · 89 tokens per session scan A b72fda29f65b
agent-design-coach is a skill published in the GitHub repository dadwadw233/claude-code-philosophy (5 stars, last pushed 5mo ago), licensed MIT. It adds 89 tokens to every session and 1,181 once invoked, about $0.0004 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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