Registry indexed

design-loop

Price unconfirmed★ 23 GitHub starsRegistry updated · Oct 1, 2026agent-skill

Overview

Raise the visual quality of something that renders through a build, screenshot, independent scored critique and fix loop, against rubrics with hard accessibility, design-token, runtime and asset-licensing gates. Use when asked to make a UI, page, HTML doc, dashboard, game scene or 3D asset look dramatically better, more polished or more professional; to improve the visual design, look, styling or visual quality of a surface; to iterate toward a reference, mockup or screenshot; and proactively after building or substantially changing a user-facing surface. Not for deciding what screens exist or how flows behave.

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Design loop

A closed loop that raises visual quality by measurement rather than taste. The agent that built the thing cannot grade it, so an independent judge with a clean context scores each round against a locked target until it clears the bar or stalls.

Derived from dream-loop (MIT) — see ATTRIBUTION.md.

Two standing rules that apply even outside the loop. Visual work is verified by a capture the agent reads before anything is shown to the user; a claim about how something looks without a capture behind it is unverified. And the look is designed in cheap loops — a mock, a sketch, a throwaway render — before it is engineered into the real pipeline. The loop mechanics are its contribution. The rubrics, hard gates, escalation and asset policy here are ours and differ deliberately; do not reintroduce its asset-sourcing chapter.

When this is the wrong skill

This skill refines something that already renders. It needs a running artifact to screenshot. It does not decide what screens exist, what the flows are, or how anything behaves.

If the ask is	Use
What screens exist, what the flows are, how it behaves	your planning framework's UX specification workflow
A mockup, wireframe or screen design from scratch	`design` — canvas, no running artifact needed
Styling a published Artifact page	`artifact-design`
Make the thing that exists look far better	this skill

A UX spec produces the brief. This produces the finish. If a surface has been specified but not built, build it first — there is nothing to capture until then.

Pick a mode first

Mode	Surface	Rubric
ui	Web app, iOS/Mac app, landing page, standalone HTML doc, dashboard	references/rubric-ui.md
scene	3D scene, game view, rendered asset, Blender output	references/rubric-scene.md

Read only the rubric for your mode. If the request spans both, run two loops with separate targets — never average one rubric across both.

The loop

Prerequisites: a locked target and a working capture command. Get both before round 1.

Establish and lock the target — references/targets.md. Write it to .design-loop/target.<ext> and do not regenerate it mid-loop.
Establish the capture command — references/capture.md. Verify it produces a real screenshot before you start, not after.
Implement a pass at the target. When the session runs below the strongest class, hand steps 3 to 5 and 7 to the designer agent, which declares that class; give it the workspace, the target, the capture command and the last verdict. It never judges; step 6 stays yours.
Validate it yourself. It must actually run, load and work. Fix breakage, wrong orientation, missing assets and failed loads here. Do not use this step to tune visuals.
Capture the current state to .design-loop/round-<n>.png.
Judge — spawn the design-judge agent with the image paths, the surface type and the target path and evidence for non-visual hard gates, per references/judge.md. Never judge your own work inline.
Address every gap the judge named, hardest first. Do not cherry-pick the easy ones.
Evaluate exit criteria below. Exit, escalate, or return to step 4.

Hard gates

Each rubric defines gates that are pass/fail, not scored. A failing gate blocks exit at any score. Accessibility, design-token adherence, runtime budget and asset licensing are gates precisely because a loop optimizing for "looks good" will trade them away otherwise.

Never lower a gate to exit the loop. Report it unmet instead.

Exit criteria

Score ≥ 8/10 and all gates pass — done. Show the latest capture, state the score and the remaining known gaps, and ask whether to keep going.
Score ≥ 8/10 but a gate fails — fix the gate. Re-judge afterward to confirm the fix did not cost visual quality. A gate fix that regresses the score is not finished.
Stall approaching — the best score has not improved by a full point in 2 rounds, or the judge has named the same gap twice running. Stop making incremental tweaks. Step back and find the structural reason: wrong layout system, wrong palette, wrong camera, wrong asset quality, wrong type scale. Make one dramatic change, not five small ones.
Stalled — the dramatic change did not move the score. Stop. Do not spend tokens on a second architectural guess. Escalate.
Round budget spent — default cap is 5 rounds. That is a cap, not a target. Escalate.
Otherwise — keep looping. Do not exit early because progress feels adequate.

Escalation

Follow the standing autonomous-loop rule: interrupt only for blocking findings, for product, UX, security or schema calls outside the brief, or for anything destructive. Everything else goes on a running Decisions needed list while the loop keeps moving.

Ambiguous design calls are not interrupts. Implement the sensible default, keep going, and headline it at the end for confirm or override.

When you do stop, report: current score with per-axis breakdown, gate status, what you changed, what is still open, and the specific question you need answered.

Assets

Sourcing is governed entirely by the chosen licensing stance, plus any path-scoped asset rule the project carries. Invoke the licensing-review skill before incorporating anything new.

Three things this loop must never do, regardless of how much they would improve the score:

Never download assets without clearing the license first. "Free download", "royalty-free" and a marketplace tag are not proof.
Never override a restriction the user set. If they said don't download assets, that includes generated-3D services, image-to-3D APIs and asset marketplaces. Ask; do not reinterpret.
Never ship generated 3D assets on unresolved terms. Image-to-3D output carries the vendor's terms, not a clean license. Unresolved material stays out of production.

If no compliant asset clears the bar, adapt a compliant base or author original geometry. Say so plainly rather than quietly substituting something weaker.

Working files

Keep everything in .design-loop/ at the repo root:

.design-loop/
  target.png          locked reference, written once
  round-1.png         capture per round
  verdict-1.md        judge output per round
  notes.md            decisions needed, assumptions, gate status

Add .design-loop/ to ~/.config/git/ignore once so it stays out of every repo.

Time budget

If given one, record the clock after the target is locked and check it between rounds. Do not trade visual quality for the deadline — hitting the limit with real, beautiful progress beats landing complete and ugly. Report what you would do with another round.

If no budget is given, run to an exit criterion and warn up front that this consumes real tokens: each round is a build pass, a capture and a judge subagent.

View source ↗

File metadata

name: design-loop
description: Raise the visual quality of something that renders through a build, screenshot, independent scored critique and fix loop, against rubrics with hard accessibility, design-token, runtime and asset-licensing gates. Use when asked to make a UI, page, HTML doc, dashboard, game scene or 3D asset look dramatically better, more polished or more professional; to improve the visual design, look, styling or visual quality of a surface; to iterate toward a reference, mockup or screenshot; and proactively after building or substantially changing a user-facing surface. Not for deciding what screens exist or how flows behave.

View original text

---
name: design-loop
description: Raise the visual quality of something that renders through a build, screenshot, independent scored critique and fix loop, against rubrics with hard accessibility, design-token, runtime and asset-licensing gates. Use when asked to make a UI, page, HTML doc, dashboard, game scene or 3D asset look dramatically better, more polished or more professional; to improve the visual design, look, styling or visual quality of a surface; to iterate toward a reference, mockup or screenshot; and proactively after building or substantially changing a user-facing surface. Not for deciding what screens exist or how flows behave.
---

# Design loop

A closed loop that raises visual quality by measurement rather than taste. The agent that built
the thing cannot grade it, so an **independent judge with a clean context** scores each round
against a **locked target** until it clears the bar or stalls.

Derived from [dream-loop](https://github.com/achimala/dream-loop) (MIT) — see `ATTRIBUTION.md`.

**Two standing rules that apply even outside the loop.** Visual work is verified by a capture the
agent reads before anything is shown to the user; a claim about how something looks without a
capture behind it is unverified. And the look is designed in cheap loops — a mock, a sketch, a
throwaway render — before it is engineered into the real pipeline.
The loop mechanics are its contribution. The rubrics, hard gates, escalation and asset policy
here are ours and differ deliberately; do not reintroduce its asset-sourcing chapter.

## When this is the wrong skill

This skill **refines something that already renders**. It needs a running artifact to screenshot.
It does not decide what screens exist, what the flows are, or how anything behaves.

| If the ask is | Use |
| --- | --- |
| What screens exist, what the flows are, how it behaves | your planning framework's UX specification workflow |
| A mockup, wireframe or screen design from scratch | `design` — canvas, no running artifact needed |
| Styling a published Artifact page | `artifact-design` |
| Make the thing that exists look far better | **this skill** |

A UX spec produces the brief. This produces the finish. If a surface has been specified but not
built, build it first — there is nothing to capture until then.

## Pick a mode first

| Mode | Surface | Rubric |
| --- | --- | --- |
| **ui** | Web app, iOS/Mac app, landing page, standalone HTML doc, dashboard | [references/rubric-ui.md](references/rubric-ui.md) |
| **scene** | 3D scene, game view, rendered asset, Blender output | [references/rubric-scene.md](references/rubric-scene.md) |

Read only the rubric for your mode. If the request spans both, run two loops with separate
targets — never average one rubric across both.

## The loop

Prerequisites: a locked target and a working capture command. Get both before round 1.

1. **Establish and lock the target** — [references/targets.md](references/targets.md). Write it
to `.design-loop/target.<ext>` and do not regenerate it mid-loop.
2. **Establish the capture command** — [references/capture.md](references/capture.md). Verify it
produces a real screenshot before you start, not after.
3. **Implement a pass** at the target. When the session runs below the strongest class, hand
steps 3 to 5 and 7 to the `designer` agent, which declares that class; give it the workspace,
the target, the capture command and the last verdict. It never judges; step 6 stays yours.
4. **Validate it yourself.** It must actually run, load and work. Fix breakage, wrong
orientation, missing assets and failed loads here. Do not use this step to tune visuals.
5. **Capture** the current state to `.design-loop/round-<n>.png`.
6. **Judge** — spawn the `design-judge` agent with the image paths, the surface type and the
target path and evidence for non-visual hard gates, per
[references/judge.md](references/judge.md). Never judge your own work inline.
7. **Address every gap** the judge named, hardest first. Do not cherry-pick the easy ones.
8. **Evaluate exit criteria** below. Exit, escalate, or return to step 4.

## Hard gates

Each rubric defines gates that are **pass/fail, not scored**. A failing gate blocks exit at any
score. Accessibility, design-token adherence, runtime budget and asset licensing are gates
precisely because a loop optimizing for "looks good" will trade them away otherwise.

Never lower a gate to exit the loop. Report it unmet instead.

## Exit criteria

- **Score ≥ 8/10 and all gates pass** — done. Show the latest capture, state the score and the
remaining known gaps, and ask whether to keep going.
- **Score ≥ 8/10 but a gate fails** — fix the gate. Re-judge afterward to confirm the fix did not
cost visual quality. A gate fix that regresses the score is not finished.
- **Stall approaching** — the best score has not improved by a full point in 2 rounds, *or* the
judge has named the same gap twice running. Stop making incremental tweaks. Step back and find
the structural reason: wrong layout system, wrong palette, wrong camera, wrong asset quality,
wrong type scale. Make one dramatic change, not five small ones.
- **Stalled** — the dramatic change did not move the score. Stop. Do not spend tokens on a second
architectural guess. Escalate.
- **Round budget spent** — default cap is **5 rounds**. That is a cap, not a target. Escalate.
- **Otherwise** — keep looping. Do not exit early because progress feels adequate.

## Escalation

Follow the standing autonomous-loop rule: interrupt only for blocking findings, for product, UX,
security or schema calls outside the brief, or for anything destructive. Everything else goes on
a running **Decisions needed** list while the loop keeps moving.

Ambiguous design calls are not interrupts. Implement the sensible default, keep going, and
headline it at the end for confirm or override.

When you do stop, report: current score with per-axis breakdown, gate status, what you changed,
what is still open, and the specific question you need answered.

## Assets

**Sourcing is governed entirely by the chosen `licensing` stance**, plus any path-scoped
asset rule the project carries. Invoke the `licensing-review` skill before incorporating anything new.

Three things this loop must never do, regardless of how much they would improve the score:

- **Never download assets without clearing the license first.** "Free download",
"royalty-free" and a marketplace tag are not proof.
- **Never override a restriction the user set.** If they said don't download assets, that
includes generated-3D services, image-to-3D APIs and asset marketplaces. Ask; do not reinterpret.
- **Never ship generated 3D assets on unresolved terms.** Image-to-3D output carries the vendor's
terms, not a clean license. Unresolved material stays out of production.

If no compliant asset clears the bar, adapt a compliant base or author original geometry. Say so
plainly rather than quietly substituting something weaker.

## Working files

Keep everything in `.design-loop/` at the repo root:

```
.design-loop/
target.png locked reference, written once
round-1.png capture per round
verdict-1.md judge output per round
notes.md decisions needed, assumptions, gate status
```

Add `.design-loop/` to `~/.config/git/ignore` once so it stays out of every repo.

## Time budget

If given one, record the clock after the target is locked and check it between rounds. **Do not
trade visual quality for the deadline** — hitting the limit with real, beautiful progress beats
landing complete and ugly. Report what you would do with another round.

If no budget is given, run to an exit criterion and warn up front that this consumes real tokens:
each round is a build pass, a capture and a judge subagent.

Review the source

Price & running costs

Get the skill: Price unconfirmed
Run it: Requirements have not been confirmed. Check the source for agent, API and service charges.
License: MIT
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 23 GitHub stars
Stars/forks activity: 23 stars, 4 forks; issue activity unavailable in current metadata
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

IndexedStatic Checked

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: JakeSelby/model-citizen
License: MIT
Version: Unknown
Last GitHub push: Oct 1, 2026
Registry updated: Oct 1, 2026
Instruction path: directory/model-citizen/primitives/skills/design-loop/SKILL.md @ 849f4ee27112

Version reported in registry metadata; check source releases before relying on it.

Quality

55/100

Promising

Trust

59/100

Do not auto-install

Audit

72/100

Needs review

Open full audit View eval report

Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 23 GitHub stars
Stars/forks activity: 23 stars, 4 forks; issue activity unavailable in current metadata
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

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Open install API LLM text format Open manifest Auto-resolve Plan

More details

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Creator: JakeSelby
Source: JakeSelby/model-citizen
Indexed by: OpenAgentSkill community index

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Registry indexed

design-loop

Review the source View on GitHub

Price unconfirmed★ 23 GitHub starsRegistry updated · Oct 1, 2026agent-skill

Overview

Read full documentation

Source documentation, not instructions for this website. Review permissions before running any commands.

Design loop

Derived from dream-loop (MIT) — see ATTRIBUTION.md.

When this is the wrong skill

This skill refines something that already renders. It needs a running artifact to screenshot. It does not decide what screens exist, what the flows are, or how anything behaves.

If the ask is	Use
What screens exist, what the flows are, how it behaves	your planning framework's UX specification workflow
A mockup, wireframe or screen design from scratch	`design` — canvas, no running artifact needed
Styling a published Artifact page	`artifact-design`
Make the thing that exists look far better	this skill

A UX spec produces the brief. This produces the finish. If a surface has been specified but not built, build it first — there is nothing to capture until then.

Pick a mode first

Mode	Surface	Rubric
ui	Web app, iOS/Mac app, landing page, standalone HTML doc, dashboard	references/rubric-ui.md
scene	3D scene, game view, rendered asset, Blender output	references/rubric-scene.md

Read only the rubric for your mode. If the request spans both, run two loops with separate targets — never average one rubric across both.

The loop

Prerequisites: a locked target and a working capture command. Get both before round 1.

Establish and lock the target — references/targets.md. Write it to .design-loop/target.<ext> and do not regenerate it mid-loop.
Establish the capture command — references/capture.md. Verify it produces a real screenshot before you start, not after.
Implement a pass at the target. When the session runs below the strongest class, hand steps 3 to 5 and 7 to the designer agent, which declares that class; give it the workspace, the target, the capture command and the last verdict. It never judges; step 6 stays yours.
Validate it yourself. It must actually run, load and work. Fix breakage, wrong orientation, missing assets and failed loads here. Do not use this step to tune visuals.
Capture the current state to .design-loop/round-<n>.png.
Judge — spawn the design-judge agent with the image paths, the surface type and the target path and evidence for non-visual hard gates, per references/judge.md. Never judge your own work inline.
Address every gap the judge named, hardest first. Do not cherry-pick the easy ones.
Evaluate exit criteria below. Exit, escalate, or return to step 4.

Hard gates

Never lower a gate to exit the loop. Report it unmet instead.

Exit criteria

Score ≥ 8/10 and all gates pass — done. Show the latest capture, state the score and the remaining known gaps, and ask whether to keep going.
Score ≥ 8/10 but a gate fails — fix the gate. Re-judge afterward to confirm the fix did not cost visual quality. A gate fix that regresses the score is not finished.
Stall approaching — the best score has not improved by a full point in 2 rounds, or the judge has named the same gap twice running. Stop making incremental tweaks. Step back and find the structural reason: wrong layout system, wrong palette, wrong camera, wrong asset quality, wrong type scale. Make one dramatic change, not five small ones.
Stalled — the dramatic change did not move the score. Stop. Do not spend tokens on a second architectural guess. Escalate.
Round budget spent — default cap is 5 rounds. That is a cap, not a target. Escalate.
Otherwise — keep looping. Do not exit early because progress feels adequate.

Escalation

Ambiguous design calls are not interrupts. Implement the sensible default, keep going, and headline it at the end for confirm or override.

When you do stop, report: current score with per-axis breakdown, gate status, what you changed, what is still open, and the specific question you need answered.

Assets

Sourcing is governed entirely by the chosen licensing stance, plus any path-scoped asset rule the project carries. Invoke the licensing-review skill before incorporating anything new.

Three things this loop must never do, regardless of how much they would improve the score:

Never download assets without clearing the license first. "Free download", "royalty-free" and a marketplace tag are not proof.
Never override a restriction the user set. If they said don't download assets, that includes generated-3D services, image-to-3D APIs and asset marketplaces. Ask; do not reinterpret.
Never ship generated 3D assets on unresolved terms. Image-to-3D output carries the vendor's terms, not a clean license. Unresolved material stays out of production.

If no compliant asset clears the bar, adapt a compliant base or author original geometry. Say so plainly rather than quietly substituting something weaker.

Working files

Keep everything in .design-loop/ at the repo root:

.design-loop/
  target.png          locked reference, written once
  round-1.png         capture per round
  verdict-1.md        judge output per round
  notes.md            decisions needed, assumptions, gate status

Add .design-loop/ to ~/.config/git/ignore once so it stays out of every repo.

Time budget

If no budget is given, run to an exit criterion and warn up front that this consumes real tokens: each round is a build pass, a capture and a judge subagent.

View source ↗

File metadata

name: design-loop
description: Raise the visual quality of something that renders through a build, screenshot, independent scored critique and fix loop, against rubrics with hard accessibility, design-token, runtime and asset-licensing gates. Use when asked to make a UI, page, HTML doc, dashboard, game scene or 3D asset look dramatically better, more polished or more professional; to improve the visual design, look, styling or visual quality of a surface; to iterate toward a reference, mockup or screenshot; and proactively after building or substantially changing a user-facing surface. Not for deciding what screens exist or how flows behave.

View original text

# Design loop

Derived from [dream-loop](https://github.com/achimala/dream-loop) (MIT) — see `ATTRIBUTION.md`.

## When this is the wrong skill

This skill **refines something that already renders**. It needs a running artifact to screenshot.
It does not decide what screens exist, what the flows are, or how anything behaves.

A UX spec produces the brief. This produces the finish. If a surface has been specified but not
built, build it first — there is nothing to capture until then.

## Pick a mode first

Read only the rubric for your mode. If the request spans both, run two loops with separate
targets — never average one rubric across both.

## The loop

Prerequisites: a locked target and a working capture command. Get both before round 1.

## Hard gates

Never lower a gate to exit the loop. Report it unmet instead.

## Exit criteria

## Escalation

Follow the standing autonomous-loop rule: interrupt only for blocking findings, for product, UX,
security or schema calls outside the brief, or for anything destructive. Everything else goes on
a running **Decisions needed** list while the loop keeps moving.

Ambiguous design calls are not interrupts. Implement the sensible default, keep going, and
headline it at the end for confirm or override.

When you do stop, report: current score with per-axis breakdown, gate status, what you changed,
what is still open, and the specific question you need answered.

## Assets

**Sourcing is governed entirely by the chosen `licensing` stance**, plus any path-scoped
asset rule the project carries. Invoke the `licensing-review` skill before incorporating anything new.

Three things this loop must never do, regardless of how much they would improve the score:

If no compliant asset clears the bar, adapt a compliant base or author original geometry. Say so
plainly rather than quietly substituting something weaker.

## Working files

Keep everything in `.design-loop/` at the repo root:

```
.design-loop/
target.png locked reference, written once
round-1.png capture per round
verdict-1.md judge output per round
notes.md decisions needed, assumptions, gate status
```

Add `.design-loop/` to `~/.config/git/ignore` once so it stays out of every repo.

## Time budget

If no budget is given, run to an exit criterion and warn up front that this consumes real tokens:
each round is a build pass, a capture and a judge subagent.

Review the source

Price & running costs

Get the skill: Price unconfirmed
Run it: Requirements have not been confirmed. Check the source for agent, API and service charges.
License: MIT
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 23 GitHub stars
Stars/forks activity: 23 stars, 4 forks; issue activity unavailable in current metadata
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

IndexedStatic Checked

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: JakeSelby/model-citizen
License: MIT
Version: Unknown
Last GitHub push: Oct 1, 2026
Registry updated: Oct 1, 2026
Instruction path: directory/model-citizen/primitives/skills/design-loop/SKILL.md @ 849f4ee27112

Version reported in registry metadata; check source releases before relying on it.

Quality

55/100

Promising

Trust

59/100

Do not auto-install

Audit

72/100

Needs review

Open full audit View eval report

Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 23 GitHub stars
Stars/forks activity: 23 stars, 4 forks; issue activity unavailable in current metadata
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

Agent access

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 install API LLM text format Open manifest Auto-resolve Plan

More details

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      "lastPushed": "3d since push",
      "license": "MIT",
      "repository": "https://github.com/JakeSelby/model-citizen/tree/main/directory/model-citizen/primitives/skills/design-loop",
      "install": "npx skills add JakeSelby/model-citizen --skill design-loop",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Usable metadata, review docs",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "design-creative",
      "agent-skill"
    ],
    "known_risks": [
      "AI review approval is missing",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 23 GitHub stars",
      "Stars/forks activity: 23 stars, 4 forks; issue activity unavailable in current metadata",
      "Permission surface: secrets or environment access, shell or command execution",
      "Review status: AI review approval is missing"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 72,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Permission surface may require sandboxing",
      "Low GitHub adoption signal",
      "AI review approval is missing",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 23 GitHub stars",
      "Stars/forks activity: 23 stars, 4 forks; issue activity unavailable in current metadata",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 55,
    "label": "Promising"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "3d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "anthropic-canvas-design",
      "name": "Canvas Design",
      "url": "https://www.openagentskill.com/skills/anthropic-canvas-design",
      "stars": 179429,
      "install_command": "npx skills add anthropics/skills --skill canvas-design",
      "trust_score": 91,
      "audit_score": 93
    },
    {
      "slug": "emilkowalski-apple-design",
      "name": "Apple Design",
      "url": "https://www.openagentskill.com/skills/emilkowalski-apple-design",
      "stars": 34452,
      "install_command": "npx skills@latest add emilkowalski/skills",
      "trust_score": 93,
      "audit_score": 94
    },
    {
      "slug": "anthropic-frontend-design",
      "name": "Frontend Design",
      "url": "https://www.openagentskill.com/skills/anthropic-frontend-design",
      "stars": 179429,
      "install_command": "npx skills add anthropics/skills --skill frontend-design",
      "trust_score": 91,
      "audit_score": 93
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Permission surface may require sandboxing",
    "AI review approval is missing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
  ],
  "agent_contract": {
    "task_input": "Use design-loop in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 67/100 Manual review",
      "Audit: 72/100 Needs review",
      "Safety: 28/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "jakeselby-design-loop (design-loop)",
      "install_command": "npx skills add JakeSelby/model-citizen --skill design-loop",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "jakeselby-design-loop",
      "task": "Use design-loop in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/jakeselby-design-loop",
    "api": "https://www.openagentskill.com/api/agent/skills/jakeselby-design-loop",
    "audit": "https://www.openagentskill.com/skills/jakeselby-design-loop/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=jakeselby-design-loop&task=Use%20design-loop%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20design-loop%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20design-loop%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/jakeselby-design-loop/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/jakeselby-design-loop"
  }
}

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Creator: JakeSelby
Source: JakeSelby/model-citizen
Indexed by: OpenAgentSkill community index

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Overview

Design loop

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Community signal

Overview

Design loop

When this is the wrong skill

Pick a mode first

The loop

Hard gates

Exit criteria

Escalation

Assets

Working files

Time budget

Review the source

Price & running costs

Start with one small task

Source & usage notes

Agent access

Related skills

For the creator

Registry indexed

Claim this skill listing

Add the evidence badges to your README

Community signal