Perspective Audit logo

Perspective Audit

Organization
zivtech
perspective-audit

Deep accessibility review from 7 access perspectives — activated by escalation from a11y-planner or a11y-critic when one or more perspectives are flagged at MEDIUM or HIGH alarm level.

Overview

Publisherzivtech
Repositoryaccessibility-skills
Skill nameperspective-audit
Stars
12
Forks
2
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zivtech on GitHub. Read the source before you install it.

Installation

Install the Perspective Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zivtech/accessibility-skills/tree/main/.agents/skills/perspective-audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zivtech/accessibility-skills.git /tmp/accessibility-skills
mkdir -p .claude/skills
cp -r /tmp/accessibility-skills/.agents/skills/perspective-audit .claude/skills/perspective-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Perspective Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Perspective Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Perspective Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Perspective Audit

Deep-layer accessibility review for perspectives escalated to MEDIUM or HIGH by the a11y-planner or a11y-critic. This skill reads the JTBD checklists only for the escalated perspectives, applies severity calibration, routes findings by ARRM role, and splits code-level findings from content-level flags.

This is Layer 2 in a hybrid accessibility architecture:

  • Layer 1: a11y-planner and a11y-critic produce alarm levels (LOW / MEDIUM / HIGH) per perspective as lightweight hints.
  • Layer 2 (this skill): Runs the full JTBD checklist only for perspectives at MEDIUM or HIGH. Perspectives at LOW are not reviewed.

When to Use

Invoke this skill when:

  • a11y-planner or a11y-critic outputs a perspective alarm at MEDIUM or HIGH
  • You need granular, per-perspective findings with WCAG citations and ARRM routing
  • A design review surfaces concern about a specific access dimension (motion, contrast, auditory, cognitive) that warrants a dedicated checklist pass

Do not use this skill to review perspectives the planner/critic rated LOW. Evidence over assertion — this skill only fires where the risk signal exists.

The 7 Perspectives

#PerspectiveWCAG Criteria (AA)
1Magnification & Reflow1.4.4, 1.4.10, 1.4.12, 1.4.13, 2.4.11
2Environmental Contrast1.3.3, 1.4.1, 1.4.3, 1.4.11
3Vestibular & Motion Sensitivity2.2.2, 2.3.1, 2.5.4
4Auditory Access1.2.1, 1.2.2, 1.2.3, 1.2.5, 1.4.2
5Keyboard & Motor Access1.3.4, 2.1.1, 2.1.2, 2.4.1, 2.4.3, 2.4.7, 2.4.13, 2.5.1, 2.5.2, 2.5.3, 2.5.7, 2.5.8
6Screen Reader & Semantic Structure1.1.1, 1.3.1, 1.3.2, 2.4.2, 2.4.4, 2.4.6, 3.1.1, 3.1.2, 3.3.1, 3.3.2, 4.1.2, 4.1.3
7Cognitive & Neurodivergent1.3.5, 2.2.1, 2.4.5, 3.2.1, 3.2.2, 3.2.3, 3.2.4, 3.2.6, 3.3.3, 3.3.4, 3.3.7, 3.3.8

Severity Calibration

SeverityWhen to Apply
CRITICALBlocks access entirely — keyboard trap, no captions on speech video, CAPTCHA with no alternative
MAJORSignificant barrier for the perspective's user group — contrast below 3:1, motion without prefers-reduced-motion, missing error association
MINORDegrades experience but workaround exists — suboptimal label text, jargon defined nearby, help location slightly inconsistent
ENHANCEMENTAAA criterion — report but do not escalate to MAJOR/CRITICAL regardless of implementation gap

Steps

Step 1 — Confirm escalated perspectives

Read the planner or critic output to identify which perspectives are flagged MEDIUM or HIGH. List them explicitly before proceeding. If no escalation list is provided, ask: "Which perspectives did the planner or critic flag at MEDIUM or HIGH?"

Do not run checklists for perspectives at LOW.

Step 2 — Read reference files

Read both reference files at invocation:

  1. .claude/skills/perspective-audit/references/perspectives.md — Read only the sections for escalated perspectives. Do not load sections for LOW-rated perspectives.
  2. .claude/skills/perspective-audit/references/arrm-perspective-mapping.md — Read in full for finding routing.

Step 3 — Read the artifact under review

Read all source files relevant to the escalated perspectives. Understand the component structure, markup, CSS, and any JS handling state or interaction before running checklists.

When the artifact is a live page rather than source, gather its evidence in a single per-page capture (a11y-test's references/page-audit.mjs, or one accessibility-tree pass) and run every escalated perspective's checklist against that one capture — do not re-inspect the page once per perspective. One page's evidence serves all its perspectives.

Step 4 — Run per-perspective checklists

For each escalated perspective:

  1. Work through the JTBD checklist from references/perspectives.md item by item.
  2. For each checklist item:
    • Mark PASS if the implementation satisfies the criterion with evidence (file:line or observed markup).
    • Mark FINDING if not satisfied — generate a finding using the format in Step 5.
    • Mark N/A if the criterion does not apply (e.g., no video present for Auditory Access caption checks).
  3. Check all red flags listed for the perspective — any red flag that fires is automatically CRITICAL.
  4. Separate code-level findings (enforceable from source) from content-level findings (require human verification).

Step 5 — Format each finding

Use this format for every finding:

**Finding:** [clear description of what is wrong]
**WCAG:** [criterion number and name — e.g., 2.4.7 Focus Visible]
**Perspective:** [which perspective]
**Severity:** CRITICAL | MAJOR | MINOR | ENHANCEMENT
**Route to:** [ARRM primary role] (secondary: [role])
**Evidence:** [file:line citation or observed markup/CSS]
**Fix:** [specific recommended action]

If the audit was invoked from an A11y Evidence Finding block, preserve these traceability fields in the finding when available:

**Finding ID:** [finding_id]
**Fingerprint:** [fingerprint]
**Source:** [source test, snapshot, axe rule, or critic finding]
**Trend:** new | persistent | worsening | improving | resolved
**Perspective alarms:** [incoming alarms and any updated alarm levels]

When the incoming contract's evidence is keyboard-a11y-tester journey-audit output (trace steps, deterministic findings, reading-order census): map its personas to alarms — keyboard findings feed keyboard_motor, screen-reader findings feed screen_reader_semantic — and keep trace-step and census-selector citations intact through the audit. Batch-crawl 4.1.3 findings arrive as verification prompts, not failures; require driven-session live_announcements evidence before treating a live-region defect as confirmed (calibration: evals/results/keyboard-a11y-tester/).

When the incoming contract's evidence is virtual-screen-reader component-assertion output (spoken-phrase logs from the a11y-test component lane): findings feed screen_reader_semantic only — never keyboard_motor, because VSR interactions are synthetic. Keep the tool version + test file + exact-phrase citations intact through the audit. Silence is confirmable evidence only when the structural absence (no role/aria-live) is attached; a silent mount-with-content role="alert" is inconclusive, and an empty "polite: " entry marks an aria-atomic region clear (calibration: evals/results/virtual-screen-reader/).

Perspective-audit may also emit a contract-compatible block for new CRITICAL or MAJOR findings discovered during the deep review:

### A11y Evidence Finding
finding_id: [stable lowercase id]
fingerprint: [stable 8-64 char hex hash]
source: perspective-audit [perspective name] checklist
wcag_or_apg: [WCAG 2.2 criterion or WAI-ARIA APG pattern]
section_508_fpc_context: [Revised Section 508/WCAG 2.0 A-AA context if applicable, or "not in scope"]
severity: [CRITICAL | MAJOR | MINOR | ENHANCEMENT]
perspective_alarms: [perspective=LOW|MEDIUM|HIGH list]
evidence: [file:line, observed markup/CSS, or human-verification boundary]
reproduction_steps: [steps, command, or "source review only"]
expected_behavior: [expected user/AT behavior]
actual_behavior: [observed behavior]
trend: [new | persistent | worsening | improving | resolved]

Rules:

  • Every finding must cite a WCAG criterion. No finding without a citation.
  • AAA criteria are always ENHANCEMENT — never escalate them to MAJOR or CRITICAL.
  • Content-level findings append: [Human verification required — cannot be confirmed from source]
  • Code-level findings must include file:line evidence.
  • Preserve ARRM routing even when using the contract block; the contract adds traceability, not ownership by itself.

Step 6 — Compile the summary

After all escalated perspectives are reviewed, output the combined summary:

## Perspective Audit Summary

**Component/artifact reviewed:** [name]
**Perspectives escalated for deep review:** [list]
**Perspectives at LOW (not reviewed):** [list]

### Findings by Severity

| Severity | Count |
|---|---|
| CRITICAL | N |
| MAJOR | N |
| MINOR | N |
| ENHANCEMENT | N |

### Perspectives That Passed

[List perspectives where all checklist items were PASS or N/A]

### Perspectives With Findings — Grouped by ARRM Role

**Front-End Dev**
- [Finding title] — [Perspective] — [Severity] — [WCAG criterion]

**Visual Design**
- [Finding title] — [Perspective] — [Severity] — [WCAG criterion]

**UX Design**
- [Finding title] — [Perspective] — [Severity] — [WCAG criterion]

**Content Author**
- [Finding title] — [Perspective] — [Severity] — [WCAG criterion]

### Open Questions Requiring Human Verification

[List all content-level findings that cannot be confirmed from source — caption accuracy, transcript completeness, audio description coverage, reading level, alt text quality for editorial images]

### Recommended Next Step

[One of: PASS (no CRITICAL/MAJOR findings), REVISE (MAJOR findings present — address before shipping), BLOCK (CRITICAL findings present — do not ship until resolved)]

Companion Skills

  • a11y-planner: Layer 1 upstream — produces alarm levels that trigger this skill.
  • a11y-critic: Layer 1 upstream — produces alarm levels that trigger this skill. Also reviews design decisions post-implementation.
  • a11y-test: Run after findings are addressed — verifies fixes with automated scans and keyboard tests.

Reference Files

  • .claude/skills/perspective-audit/references/perspectives.md — JTBD checklists, red flags, and evidence requirements for all 7 perspectives.
  • .claude/skills/perspective-audit/references/arrm-perspective-mapping.md — ARRM role routing decision tree and finding output format.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Perspective Audit AI skill do?

Deep accessibility review from 7 access perspectives — activated by escalation from a11y-planner or a11y-critic when one or more perspectives are flagged at MEDIUM or HIGH alarm level.

Why use Perspective Audit on TypingMind?

Because you install it once and use it with any model. Perspective Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Perspective Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zivtech/accessibility-skills/tree/main/.agents/skills/perspective-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Perspective Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Perspective Audit?

As many as you like. As long as a model supports skills, you can use Perspective Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Perspective Audit AI skill free?

Yes. It is published on GitHub by zivtech under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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