evidence-review

evidence-review is a skill for Claude Code, Codex from Akakaui/visual-browser-agent. It costs 30 tokens per session (991 once invoked), scanned A, original, MIT.

A visual evidence review workflow that compares screenshots or recordings with stated requirements and reports pass or fail, confidence, and findings.

In plain words
What is it for?
Use it for design checks, accessibility verification, responsive testing, visual regression review, animation assessment, and release decisions.
Why use it?
It helps verify visual details that are difficult to confirm from code or page structure alone, such as responsive layout, focus states, animation, and content accuracy.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for design checks, accessibility verification, responsive testing, visual regression review, animation assessment, and release decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akakaui/visual-browser-agent/evidence-review
Install

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.

Any agent
npx skills add Akakaui/visual-browser-agent --skill evidence-review
Clone the repo
git clone --depth 1 https://github.com/Akakaui/visual-browser-agent

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for evidence-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/akakaui/visual-browser-agent/evidence-review/github.svg)](https://agentmods.dev/skills/akakaui/visual-browser-agent/evidence-review)
Your own site
<a href="https://agentmods.dev/skills/akakaui/visual-browser-agent/evidence-review"><img src="https://agentmods.dev/badge/skills/akakaui/visual-browser-agent/evidence-review/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.

agentmods 80×15 button for evidence-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/akakaui/visual-browser-agent/evidence-review"><img src="https://agentmods.dev/badge/skills/akakaui/visual-browser-agent/evidence-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 991 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00991
Opus 5 $0.00015 $0.00495
Sonnet 5 $0.00006 $0.00198
Haiku 4.5 $0.00003 $0.00099

Measured 9d ago against content hash 26d2a05033c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

evidence-review 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 9d 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.

skills/evidence-review/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evidence Review Skill

When to Use

Use this skill to analyze visual evidence against requirements:

  • Verify UI matches design specs
  • Check accessibility compliance
  • Validate responsive behavior
  • Confirm animation quality
  • Assess visual regression
  • Make go/no-go decisions

Instructions

Review Process

For each evidence review request:

  1. Receive: artifactPaths[], requirement, context
  2. Call review_visual_evidence with all three
  3. Get structured response: passed, confidence, findings[]
  4. Create evidence manifest with nextDecision

Vision Analysis Capabilities

The reviewer can assess:

  • Layout: Alignment, spacing, grid adherence
  • Typography: Font family, size, weight, line height, color
  • Color: Palette match, contrast ratios, semantic usage
  • Components: Presence, state, variants
  • Interactions: Hover/focus/active states visible
  • Responsive: Breakpoint behavior, content reflow
  • Motion: Animation smoothness, duration, easing
  • Accessibility: Focus indicators, contrast, labels
  • Content: Text accuracy, image presence, truncation

Confidence Scoring

  • 0.9-1.0: Clear pass/fail, unambiguous
  • 0.7-0.89: Likely correct, minor uncertainty
  • 0.5-0.69: Ambiguous, needs human review
  • <0.5: Cannot determine, escalate

Decision Mapping

Confidence Passed Next Decision
≥0.9 true continue
≥0.9 false retry / human
0.7-0.89 true continue
0.7-0.89 false retry / human
<0.7 any human

Findings Format

{
  "type": "layout" | "typography" | "color" | "interaction" | "accessibility" | "content" | "performance",
  "severity": "critical" | "major" | "minor" | "info",
  "element": "selector or description",
  "expected": "what should be",
  "actual": "what is",
  "wcag": "optional WCAG reference"
}

Output: Evidence Manifest

{
  "eventId": "event-042",
  "action": "review_checkout_button",
  "requirement": "Primary CTA meets WCAG AA contrast and 44px touch target",
  "artifacts": ["frames/checkout-cta.png"],
  "review": {
    "passed": false,
    "confidence": 0.92,
    "findings": [
      {
        "type": "accessibility",
        "severity": "major",
        "element": ".btn-primary",
        "expected": "4.5:1 contrast ratio",
        "actual": "3.2:1 contrast ratio",
        "wcag": "1.4.3 Contrast (Minimum)"
      },
      {
        "type": "interaction",
        "severity": "minor",
        "element": ".btn-primary",
        "expected": "≥44px touch target",
        "actual": "40px height"
      }
    ]
  },
  "nextDecision": "human"
}

Read the full file on GitHub · 128 lines

Changes

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.

  1. 9d ago First seen · 128 lines · 30 tokens per session scan A 26d2a05033c1

Subscribe to this mod's changes

evidence-review is a skill published in the GitHub repository Akakaui/visual-browser-agent (0 stars, last pushed 15d ago), licensed MIT. It adds 30 tokens to every session and 991 once invoked, about $0.0002 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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