codebase-design

REVIEW · 60
Registry indexed

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

Verified installs0
Stars18
Version1.0.0
Quality59/100 · Promising
Trust60/100 · Sandbox only
Audit74/100 · Needs review

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

Scenario

Design and creative

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add ConnorGriffin/skills --skill codebase-design

Maintenance

fresh

3d since push

Risk

Needs review

Permission surface may require sandboxing

GitHub quality

18

59/100 Quality · 68/100 Trust

Coverage tags

DesignDesign and creativedesign-creativeagent-skill

Review notes

Permission surface may require sandboxing · Repository license is detected as NOASSERTION; no clear license file found.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
59

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
60

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
74

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

18 GitHub stars

Repo activity

18 stars, 5 forks

Maintenance

3d since push

License

NOASSERTION

Install

npx skills add ConnorGriffin/skills --skill codebase-design

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Repository license is detected as NOASSERTION; no clear license file found.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: filesystem or document access, network or browser access

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Testing and QA workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Run test suites

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add ConnorGriffin/skills --skill codebase-design
Policy
review
Human review
yes

Trust and risk

Trust
60/100
Audit
74/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add ConnorGriffin/skills --skill codebase-design

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • Repository license is detected as NOASSERTION; no clear license file found.
  • Permission surface may require sandboxing

Agent safety v2

54/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • Permission surface may require sandboxing

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install connorgriffin-codebase-design

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use codebase-design in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20codebase-design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/connorgriffin-codebase-design/install
Install command: npx skills add ConnorGriffin/skills --skill codebase-design
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use codebase-design for this task. Review https://www.openagentskill.com/api/skills/connorgriffin-codebase-design/install, then install with: npx skills add ConnorGriffin/skills --skill codebase-design

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

59/100

Testing and QA

Platforms

Claude Code

Audit report

Needs review · 74/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Testing and QA

Prototype with this skill first; keep a fallback candidate ready.

59
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Testing and QA

Trust label

Prototype first

Install path

Command ready

Use when

  • Testing and QA workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 59/100 quality profile
  • 2 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal
  • Repository license is detected as NOASSERTION; no clear license file found.

Implementation path

  1. 1Install it in a sandbox agent and run one Testing and QA task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

60
OpenAgentSkill Trust Score

GitHub adoption

FIX

18 GitHub stars

Stars/forks activity

FIX

18 stars, 5 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

NOASSERTION

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Repository license is detected as NOASSERTION; no clear license file found.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: filesystem or document access, network or browser access
  • GitHub adoption: 18 GitHub stars
  • Stars/forks activity: 18 stars, 5 forks; issue activity unavailable in current metadata
  • Permission surface: filesystem or document access, network or browser access
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

59
GitHub stars
18
Freshness
3d ago
Install ready
Yes
License
NOASSERTION
Review before install: Low GitHub adoption signal · Repository license is detected as NOASSERTION; no clear license file found.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

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Overview

--- name: codebase-design description: Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary. ---

# Codebase Design

Design **deep modules**: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use this language and these principles wherever code is being designed or restructured. The aim is leverage for callers, locality for maintainers, and testability for everyone.

`references/DESIGN-IT-TWICE.md`'s briefs assume a `CONTEXT.md` glossary (the `domain-modeling` skill's format) alongside this vocabulary — load `domain-modeling` too when one exists.

## Glossary

Use these terms exactly — don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point.

**Module** — anything with an interface and an implementation. Deliberately scale-agnostic: a function, class, package, or tier-spanning slice. _Avoid_: unit, component, service.

**Interface** — everything a caller must know to use the module correctly: the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics. _Avoid_: API, signature (too narrow — they refer only to the type-level surface).

**Implementation** — what's inside a module, its body of code. Distinct from **Adapter**: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise.

**Depth** — leverage at the interface: the amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is **deep** when a large amount of behaviour sits behind a small interface, **shallow** when the interface is nearly as complex as the implementation.

**Seam** _(Michael Feathers)_ — a place where you can alter behaviour without editing in that place; the *location* at which a module's interface lives. Where to put the seam is its own design decision, distinct from what goes behind it. _Avoid_: boundary (overloaded with DDD's bounded context).

**Adapter** — a concrete thing that satisfies an interface at a seam. Describes *role* (what slot it fills), not substance (what's inside).

**Leverage** — what callers get from depth: more capability per unit of interface they learn. One implementation pays back across N call sites and M tests.

**Locality** — what maintainers get from depth: change, bugs, knowledge, and verification concentrate in one place rather than spreading across callers. Fix once, fixed everywhere.

## Deep vs shallow

**Deep module** = small interface + lots of implementation:

``` ┌─────────────────────┐ │ Small Interface │ ← Few methods, simple params ├─────────────────────┤ │ │ │ Deep Implementation│ ← Complex logic hidden │ │ └─────────────────────┘ ```

**Shallow module** = large interface + little implementation (avoid):

``` ┌─────────────────────────────────┐ │ Large Interface │ ← Many methods, complex params ├─────────────────────────────────┤ │ Thin Implementation │ ← Just passes through └─────────────────────────────────┘ ```

When designing an interface, ask:

- Can I reduce the number of methods? - Can I simplify the parameters? - Can I hide more complexity inside?

## Principles

- **Depth is a property of the interface, not the implementation.** A deep module can be internally composed of small, mockable, swappable parts — they just aren't part of the interface. A module can have **internal seams** (private to its implementation, used by its own tests) as well as the **external seam** at its interface. - **The deletion test.** Imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep. - **The interface is the test surface.** Callers and tests cross the same seam. If you want to test *past* the interface, the module is probably the wrong shape. - **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a seam unless something actually varies across it.

## Designing for testability

Good interfaces make testing natural:

1. **Accept dependencies, don't create them.**

```typescript // Testable function processOrder(order, paymentGateway) {}

// Hard to test function processOrder(order) { const gateway = new StripeGateway(); } ```

2. **Return results, don't produce side effects.**

```typescript // Testable function calculateDiscount(cart): Discount {}

// Hard to test function applyDiscount(cart): void { cart.total -= discount; } ```

3. **Small surface area.** Fewer methods = fewer tests needed. Fewer params = simpler test setup.

## Relationships

- A **Module** has exactly one **Interface** (the surface it presents to callers and tests). - **Depth** is a property of a **Module**, measured against its **Interface**. - A **Seam** is where a **Module**'s **Interface** lives. - An **Adapter** sits at a **Seam** and satisfies the **Interface**. - **Depth** produces **Leverage** for callers and **Locality** for maintainers.

## Rejected framings

- **Depth as ratio of implementation-lines to interface-lines** (Ousterhout): rewards padding the implementation. We use depth-as-leverage instead. - **"Interface" as the TypeScript `interface` keyword or a class's public methods**: too narrow — interface here includes every fact a caller must know. - **"Boundary"**: overloaded with DDD's bounded context. Say **seam** or **interface**.

## Going deeper

- **Deepening a cluster given its dependencies** — see [references/DEEPENING.md](references/DEEPENING.md): dependency categories, seam discipline, and replace-don't-layer testing. - **Exploring alternative interfaces** — see [references/DESIGN-IT-TWICE.md](references/DESIGN-IT-TWICE.md): spin up parallel sub-agents to design the interface several radically different ways, then compare on depth, locality, and seam placement. `/design-an-interface` automates this pattern — reach for it directly when you just want the parallel designs run, not the background here.

Technical details

Version
1.0.0
License
NOASSERTION
Last updated
Aug 19, 2026
Published
Aug 19, 2026

Decision snapshot

Fallback candidate

59
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

74
Needs review
Security
76/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for codebase-design, ready for a manual X post.

Curator note
A practical pick for design or creative work:

codebase-design: Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepe...

18 stars

https://www.openagentskill.com/skills/connorgriffin-codebase-design?ref=x
Open X draft
Optional reply with install command
Listing + install path for codebase-design:
https://www.openagentskill.com/skills/connorgriffin-codebase-design?ref=x

Install: npx skills add ConnorGriffin/skills --skill codebase-design

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Author

C

ConnorGriffin

@connorgriffin

Platform fit

Health signals

GitHub stars
18
Quality score
32/100
Last GitHub push
Aug 19, 2026
Framework hints
Unknown
OpenAgentSkill views
2
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

60
  • GitHub adoption18 GitHub starsFIX
  • Stars/forks activity18 stars, 5 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance3d since pushPASS
  • License clarityNOASSERTIONPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime risknetwork or browser surface, database surfaceINFO