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 j4flmao/agent-skills --skill design-patternsgit clone --depth 1 https://github.com/j4flmao/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/skills/j4flmao/agent-skills/design-patterns)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/design-patterns"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/design-patterns/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/j4flmao/agent-skills/design-patterns"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/design-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00104 | $0.04589 |
| Opus 5 | $0.00052 | $0.02295 |
| Sonnet 5 | $0.00021 | $0.00918 |
| Haiku 4.5 | $0.00010 | $0.00459 |
Grade A, and why
design-patterns 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 — 530 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Patterns
Purpose
Guide pattern selection across all categories — GoF, enterprise, integration, concurrency, architectural — with decision trees, applicability rules, trade-off analysis, and composition guidance.
Agent Protocol
Trigger
User request includes: design pattern, gof, gang of four, pattern catalog, creational, structural, behavioral, pattern selection, enterprise pattern, integration pattern, concurrency pattern, architectural pattern, anti-pattern, pattern composition, CQRS, event sourcing, saga, repository, unit of work, messaging pattern, circuit breaker, strangler fig, saga pattern, hexagonal architecture, clean architecture.
Input Context
- Problem statement with constraints (performance, memory, team size, tech stack)
- Current architecture description
- Existing patterns already in use
- Pattern category preference or openness
Output
Selected pattern(s) with rationale, rejected candidates with explicit elimination reasons, implementation sketch, trade-off table, and composition rules if multiple patterns are needed.
Response Format
No preamble. No postamble. No explanations. Strip articles a/an/the where unambiguous. Compress output. If no pattern fits, output No matching pattern. Consider: [alternative approach]. and stop.
Completion Criteria
- Decision tree traversed and documented
- Rejected candidates include explicit elimination reason
- Implementation sketch covers pattern structure (not full business logic)
- Trade-offs documented for each selected pattern
- Pattern composition rules applied if multiple patterns
Architecture Decision Tree
Which Pattern Category?
What kind of problem are you solving?
├── Object creation, instance management → Creational (Singleton, Factory, Builder, Prototype)
├── Class/object composition, interfaces → Structural (Adapter, Decorator, Proxy, Facade)
├── Object communication, algorithms → Behavioral (Observer, Strategy, Command, State)
├── Business logic organization, persistence → Enterprise (Repository, Unit of Work, Aggregate)
├── Service-to-service communication → Integration (Message Queue, Event Bus, API Gateway)
├── Thread safety, async coordination → Concurrency (Mutex, Semaphore, Actor, Fan-out/Fan-in)
├── High-level system structure → Architectural (Clean Architecture, Hexagonal, CQRS, Event Sourcing)
└── Code smells affecting maintainability → Anti-Pattern to refactor (God Class, Spaghetti Code)
What ships with it
13 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.
- microservices/SKILL.md 3.5 KB
- references/anti-patterns.md 34 KB
- references/behavioral_patterns.md 28 KB
- references/concurrency-patterns.md 21 KB
- references/design-patterns-fundamentals.md 6.4 KB
- references/domain-driven-design-patterns.md 7.1 KB
- references/enterprise-patterns.md 38 KB
- references/gof-patterns.md 35 KB
- references/integration-patterns.md 21 KB
- references/pattern-relationships.md 36 KB
- references/selection-decision-tree.md 5.1 KB
- references/structural_patterns.md 23 KB
- references/testing-patterns.md 8.6 KB
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 · 530 lines · 104 tokens per session scan A d395a4b155a1
design-patterns is a skill published in the GitHub repository j4flmao/agent-skills (23 stars, last pushed 5d ago), licensed MIT. It adds 104 tokens to every session and 4,589 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
platform-apex-generate
Primary Apex authoring skill for class generation, refactoring, and review. ALWAYS ACTIVATE when the user mentions Apex, .cls, triggers, or asks to create/refactor a class (service, selector, domain, batch, queueable, schedulable, invocable, DTO, utility, interface, abstract, exception, REST resource). Use this skill…
flow-next-impl-review
Carmack-level implementation review of changes via the configured backend. Use when asked to review code or a diff in a flow-next repo.
flow-next-resolve-pr
Resolve PR review feedback. Fetches unresolved threads, triages, fixes, replies and resolves via GraphQL. Use when asked to address review comments.
api-contract-review
Use when auditing CloudBase cloud API wrappers, MCP tools, generated action metadata, or related docs for outdated or incorrect action names, parameters, casing, request shapes, or missing contract tests, especially during periodic quality review or before preparing corrective PRs.
principle-model-the-domain
Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files. Encode the domain in a structure instead of scattered conditionals.
api-reviewer
A review of an API contract, the agreed description of how software systems exchange requests, responses, events, or files.