Accessible Outing Verifier

SkillAI & models

Demonstrates advisory accessibility-planning checks with offline fixtures and a proposed bounded CALL-E workflow; use for exploring unknown or qualified venue claims without making calls.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Accessible Outing Verifier skill

What this skill tells your AI

The instructions your AI receives, as published by calle-ai/awesome-phone-call-agents in skills/accessible-outing-verifier/SKILL.md and read by ahel’s review.

#accessible-outing-verifier

Use this skill when someone is planning an outing to a venue and has non-negotiable physical accessibility constraints (e.g. elevator working today, step-free path, accessible restroom width).

Planning an accessibility-sensitive outing (e.g., for a power wheelchair user, someone who is deaf, or a person with sensory sensitivities) currently relies on static online directory tags ("Wheelchair Accessible").

Where online data exists, it is often one flattened claim that hides daily operational reality:

  • The Elevator Paradox: A theater website lists an elevator, but is it operating today? Did maintenance sign off on it this morning?
  • The Qualified Guess: Venue staff may say "I think the ramp should be clear" or "The lift is usually fine". For a wheelchair user, a qualified guess can mean being stranded outside or facing physical danger.

The shipped helper reads supplied fixture labels and demonstrates how a qualified_confirmation can become UNKNOWN. It does not query a venue directory, interpret arbitrary speech, or place a call. The CALL-E schema and steps below are a proposed manual integration pattern, not an implemented live adapter. All findings are experimental and advisory; a person must verify critical conditions with the venue and plan a suitable backup before an outing.

Consult references/safety.md for explicit consent rules, phone number validation, and privacy boundaries before initiating any phone call.

When To Use

#when-to-use

Use this skill for:

  • someone planning an outing with non-negotiable physical accessibility requirements
  • published accessibility claims that require phone verification of current operational status
  • producing an auditable Feasibility Brief (FEASIBLE, NOT FULLY VERIFIED, or NOT FEASIBLE) with direct staff quotes and timestamps

When Not To Use

#when-not-to-use

Do not use this skill to:

  • conduct formal ADA or building code compliance audits; this verifies today's operational conditions, not legal certifications
  • make repeated nuisance calls to a business; strictly one call per venue per outing plan
  • call domestic or personal phone numbers; this is exclusively for public and commercial venues
  • place a phone call without the user's explicit consent to the specific question and target phone number

Safety Boundaries

#safety-boundaries

Read references/safety.md for full requirements. Core rules:

  1. Offline Only: Every supported execution evaluates local fixtures. --real is unsupported and refused; no socket is opened, no credits are spent, and no phone is dialed.
  2. Demonstrated Demotion Rule: The fixed example maps qualified_confirmation to UNKNOWN. It does not detect every hedge, validate an extraction, or establish physical safety.
  3. Proposed Consent Gate: Any future live integration must request explicit authorization for the exact venue and question before dialing. Printed fixture authorization is not consent.
  4. Data Privacy & Masking: Use synthetic profiles only. The helper masks the phone field; venue names, persona text and other free text are not a general-purpose privacy filter. A future call must disclose no personal patron or medical details.
  5. Fail-Closed Principle: If a call fails, times out, or encounters a busy line, the verdict is NEEDS_HUMAN_REVIEW or NOT FULLY VERIFIED—never an assumed pass.

Workflow

1. Establish Outing Profile & Digital Gap

Define the venue and constraints in a profile JSON:

{
  "venue_name": "The Grand Theater",
  "phone": "+15555550199",
  "persona": "Power Wheelchair User",
  "constraints": [
    { "id": "c1", "category": "daily_operational", "label": "Main Elevator Operating Today", "critical": true },
    { "id": "c2", "category": "static_facility", "label": "Step-Free Main Entrance", "critical": true }
  ]
}

2. Dry Run First — Always

Run the standalone helper script scripts/verify-outing.mjs against offline test fixtures:

node scripts/verify-outing.mjs --profile assets/sample-outing-request.json

See references/examples.md for sample command output and scenario verdicts.

3. Proposed Bounded CALL-E Verification Pattern

No live runner is included. A future operator-controlled integration can use the schema in references/calle-task-schema.json, after confirming an authorized E.164 venue destination and reviewing the exact question. Stop on an unknown submission or result; do not automatically redial. Explain that a submitted call may continue after closing the host. This is information gathering, not emergency assistance, medical advice, or authorization to dispatch a person.

The proposed normalizer would evaluate extracted labels, subject to human verification; the shipped helper demonstrates only the qualified-confirmation fixture:

  • confirmed -> Constraint marked PASSED.
  • qualified_confirmation ("I think it should be working...") -> Demoted to UNKNOWN. Outing verdict: NOT FULLY VERIFIED.
  • refuted ("Elevator is undergoing repairs today") -> Constraint marked FAILED. Outing verdict: NOT FEASIBLE.

Signals

GitHub stars
104
Forks
527
Last commit
Sep 2026

ahel review

  • K6low
    bundled executables the agent is told to run

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
accessible-outing-verifier
Source
github.com/calle-ai/awesome-phone-call-agents