agent-first-screenshots

REVIEW · 70
Registry indexed

Agent-first screenshots — an agent drives the real app via CDP and produces clean, defect-free product screenshots (newsletters, landing pages, social, decks, PR). Dual-channel verification (DOM + pixels + vision) in a capture loop. Use for any "take/redo screenshots of the app"

Verified installs0
Stars4.5K
Version1.0.0
Quality83/100 · Strong
Trust70/100 · Sandbox only
Audit85/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + CLI + Codex

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

Install

Ready

npx skills add Devin-AXIS/iPolloWork --skill agent-first-screenshots

Maintenance

fresh

Pushed today

Risk

Safe to try

Repository license is NOASSERTION; no explicit license for the skill code or documentation.

GitHub quality

4.5K

83/100 Quality · 78/100 Trust

Coverage tags

CodingCoding agentscoding-agentsagent-skill

Review notes

Repository license is NOASSERTION; no explicit license for the skill code or documentation. · Scripts depend on 'sharp' but no package.json or installation instructions are provided; setup may be non-trivial.

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

Strong
83

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
70

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

Audit

Safe to try
85

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

4.5K GitHub stars

Repo activity

4.5K stars, 878 forks

Maintenance

Pushed today

License

NOASSERTION

Install

npx skills add Devin-AXIS/iPolloWork --skill agent-first-screenshots

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Repository license is NOASSERTION; no explicit license for the skill code or documentation.
  • Quality score needs review

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

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect source files

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add Devin-AXIS/iPolloWork --skill agent-first-screenshots
Policy
review
Human review
yes

Trust and risk

Trust
70/100
Audit
85/100
Risk level
Safe to try

Outcome loop

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

Install command

npx skills add Devin-AXIS/iPolloWork --skill agent-first-screenshots

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Repository license is NOASSERTION; no explicit license for the skill code or documentation.
  • No OpenAgentSkill engagement data yet
  • Scripts depend on 'sharp' but no package.json or installation instructions are provided; setup may be non-trivial.

Agent safety v2

73/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

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

  • Repository license is NOASSERTION; no explicit license for the skill code or documentation.

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 devin-axis-agent-first-screenshots

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 agent-first-screenshots in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-first-screenshots%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/devin-axis-agent-first-screenshots/install
Install command: npx skills add Devin-AXIS/iPolloWork --skill agent-first-screenshots
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 agent-first-screenshots for this task. Review https://www.openagentskill.com/api/skills/devin-axis-agent-first-screenshots/install, then install with: npx skills add Devin-AXIS/iPolloWork --skill agent-first-screenshots

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

94/100

Coding agents

Platforms

Claude Code

Audit report

Safe to try · 85/100

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

View audit reportView eval report

Agent decision cockpit

Primary pick for Coding agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

94
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Coding agents

Trust label

Production-ready

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 4,479 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 83/100 quality profile

review first

  • Repository license is NOASSERTION; no explicit license for the skill code or documentation.
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents 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.

70
OpenAgentSkill Trust Score

GitHub adoption

PASS

4.5K GitHub stars

Stars/forks activity

PASS

4.5K stars, 878 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

NOASSERTION

Good signals

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

Review before install

  • Repository license is NOASSERTION; no explicit license for the skill code or documentation.
  • Quality score needs review
  • 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

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

83
GitHub stars
4.5K
Freshness
Today
Install ready
Yes
License
NOASSERTION
Review before install: Repository license is NOASSERTION; no explicit license for the skill code or documentation.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: agent-first-screenshots description: Agent-first screenshots — an agent drives the real app via CDP and produces clean, defect-free product screenshots (newsletters, landing pages, social, decks, PR). Dual-channel verification (DOM + pixels + vision) in a capture loop. Use for any "take/redo screenshots of the app" task. ---

# Agent-First Screenshots

An **agent-first screenshot** is produced by an agent driving the real app via CDP, gated by **structural + pixel + vision verification** before it ships. It turns screenshots from hand-crafted artifacts into a regenerable pipeline.

Use this for "take/redo screenshots / make marketing images" tasks. It is NOT e2e evidence — for pass/fail proof use the `fraimz` skill.

## The Zero-Defect Bar

**A shippable screenshot has ZERO obvious visual defects** — the bar is not "the content is present", it is: *would a human glancing at it immediately spot something broken?* Overlapping or clipped text, misaligned/collapsed layout, garbled or mid-transition content, blank regions, stray modals/tooltips — any of these disqualifies the frame. Full stop.

## The One Method

**Operate the app like a power user preparing a demo, not like a developer hacking the DOM.** The app already looks great: get it into a real, settled state through the UI and capture it cleanly. Never rebuild or fake it.

## Golden Rules

1. **Only remove, never add.** Hiding a leaf distraction (notification badge, "Sign in" footer link, status text) via `display:none` is safe. Never inject fake HTML, override flex/height/width on structural containers, add fixed-position overlays, or mutate the DOM tree — the layout engine will collapse (scroll areas shrink to 0, content disappears). 2. **If a feature isn't available, don't fake it.** Enable it through the settings UI like a real user, or skip the shot and say so. 3. **Each shot starts from a clean reload.** `location.reload()`, wait for full render, navigate through the UI, minimal leaf cleanup, verify, capture. Never carry CSS hacks across shots. 4. **Get state naturally.** Click the real tabs/buttons/pickers; close panels via their close buttons (not CSS); run real multi-turn tasks so content is impressive — no toy data, no mid-stream captures. 5. **Match the target aspect ratio** via CDP metrics override (e.g. 1440x900 at `deviceScaleFactor: 2`), then wait ~1s and re-verify — the override can trigger re-layout.

## Verify with three channels, in a loop

`innerText` existing does not mean visible; a healthy DOM rect does not mean it rendered. Every frame must pass all three before it ships:

1. **DOM pre-check (cheap, before capture):** scroll area height > 100px (not collapsed), hero text inside the viewport rect, no unexpected modal/overlay. If it fails: reload and redo — never fix with more CSS. 2. **Pixel post-check (truth, after capture):** decode the PNG and sample the DOM-derived hero rects. Calibration: for text-on-white UI, background ratio is a bad signal (85–92% background is normal). **Variance is the reliable signal**: content-filled region variance > ~200 (often 1000+); blank/flat region < 50. Whole-image `bgRatio > 0.97` → blank frame. 3. **Vision check (mandatory gate):** deterministic stats CANNOT catch the defects that matter most — overlap, clipping, misalignment, double-rendering. Hand the PNG to a vision-capable model with a zero-defect rubric returning JSON:

``` { any_obvious_defect: bool, // the gate — if true, REJECT overlapping_text_or_elements: bool, clipped_or_cutoff: bool, misaligned_or_broken_layout: bool, blank_or_empty_regions: bool, stray_modal_tooltip_or_panel: bool, legible: bool, polish_score: 1-5, defects: ["..."] } ```

If `any_obvious_defect` is true the frame is rejected regardless of layers 1–2. Diagnose, fix the root cause (settle the state, close the picker, reload), recapture.

Reusable scripts in this skill's directory: `screenshot-verify.mjs` (verify an existing PNG) and `capture-verify.mjs` (capture at 2x + verify regions + save only on pass); both use `sharp`.

## Common failure modes

| Symptom | Fix | |---------|-----| | Overlapping/clipped text (layers 1–2 pass) | Unsettled/edit-mode/wrong-width state — settle, use preview mode, gate on vision | | Blank screenshot / 32px scroll area | Structural element was CSS-hidden — reload, close panels via UI | | Overlay (picker/modal) on every shot | It was opened and never closed — Escape before capturing | | In DOM but not in pixels | Clipped/blank render — trust variance + vision, not `innerText` |

## Anti-patterns

Injecting fake components; overriding flex properties; fixed-position overlays; carrying state across shots; verifying via `innerText` only; proof-frame mindset (the goal is "I want that", not "it didn't crash").

Technical details

Version
1.0.0
License
NOASSERTION
Last updated
Aug 22, 2026
Published
Aug 22, 2026

Decision snapshot

Primary pick

94
Ready
Adopt
Stage

4,479 GitHub stars

Audit

Install review

Install and adoption review

85
Safe to try
Security
84/100
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 agent-first-screenshots, ready for a manual X post.

Curator note
A practical pick for the next deck:

agent-first-screenshots: Agent-first screenshots — an agent drives the real app via CDP and produces clean, defect-free product screenshots (newslet...

4.5K stars

https://www.openagentskill.com/skills/devin-axis-agent-first-screenshots?ref=x
Open X draft
Optional reply with install command
Listing + install path for agent-first-screenshots:
https://www.openagentskill.com/skills/devin-axis-agent-first-screenshots?ref=x

Install: npx skills add Devin-AXIS/iPolloWork --skill agent-first-screenshots

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Devin-AXIS
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to Devin-AXIS but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/devin-axis-agent-first-screenshots?metric=listed&label=Listed)](https://www.openagentskill.com/skills/devin-axis-agent-first-screenshots)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/devin-axis-agent-first-screenshots?metric=trust&label=Trust)](https://www.openagentskill.com/skills/devin-axis-agent-first-screenshots)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/devin-axis-agent-first-screenshots?metric=audit&label=Audit)](https://www.openagentskill.com/skills/devin-axis-agent-first-screenshots/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/devin-axis-agent-first-screenshots?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/devin-axis-agent-first-screenshots)

Author

D

Devin-AXIS

@devin-axis

Platform fit

Health signals

GitHub stars
4.5K
Quality score
48/100
Last GitHub push
Aug 22, 2026
Framework hints
Unknown
OpenAgentSkill views
0
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

70
  • GitHub adoption4.5K GitHub starsPASS
  • Stars/forks activity4.5K stars, 878 forks; issue activity unavailable in current metadataPASS
  • Recent maintenancePushed todayPASS
  • License clarityNOASSERTIONPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS