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 paruff/uFawkesAI --skill designgit clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/paruff/ufawkesai/design)<a href="https://agentmods.dev/skills/paruff/ufawkesai/design"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/design/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/paruff/ufawkesai/design"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/design.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 | $0.00022 | $0.00611 |
| Opus 5 | $0.00011 | $0.00305 |
| Sonnet 5 | $0.00004 | $0.00122 |
| Haiku 4.5 | $0.00002 | $0.00061 |
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 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Design
Load trigger:
"load design skill"> DORA: Cap 3 (AI-Accessible Internal Data) Token cost: Low
Purpose
Convert specification into technical design.
Responsibilities
- Decompose architecture
- Identify components
- Define interfaces
- Model data flows
- Validate K8s design
- Document tradeoffs
Sub-Skills
| Skill | Purpose |
|---|---|
design/architecture-decomposition |
Break down system architecture |
design/component-identification |
Identify required components |
design/interface-definition |
Define component interfaces |
design/k8s-design-validation |
Validate Kubernetes design |
Dependencies
| Skill | Relationship |
|---|---|
spec |
Consumes specification and requirements |
Inputs
specification.md(from spec)- Existing architecture (if updating)
- Policy documents
Outputs
design.mdarchitecture-decisions.mdcomponent-interfaces.md
Design Rules
Architecture
- Follows established patterns
- Aligns with existing architecture
- Scalability considered
- Security embedded (not bolted on)
Components
- Single responsibility
- Clear boundaries
- Loose coupling
- High cohesion
Interfaces
- Contracts defined
- Versioning considered
- Error handling specified
- Input validation defined
Tradeoffs
- Alternatives documented
- Rationale provided
- Risks identified
- Mitigation strategies defined
Output Format
{
"skill": "design",
"status": "pass | fail",
"architecture": {
"overview": "description",
"components": ["auth-service", "user-api", "database"],
"patterns": ["microservices", "event-driven"]
},
"interfaces": [
{
"component": "auth-service",
"inputs": ["email", "password"],
"outputs": ["token", "user-id"]
}
],
"tradeoffs": [
{
"decision": "Use PostgreSQL",
"alternatives": ["MySQL", "MongoDB"],
"rationale": "ACID compliance required"
}
]
}
What ships with it
4 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.
- 8d ago First seen · 120 lines · 22 tokens per session scan A 9a687c3048ba
design is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 16d ago), licensed MIT. It adds 22 tokens to every session and 611 once invoked, about $0.0001 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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