Accessible Outing Verifier
SkillAI & modelsDemonstrates 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.
No other account needed.
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, orNOT 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:
- Offline Only: Every supported execution evaluates local fixtures.
--realis unsupported and refused; no socket is opened, no credits are spent, and no phone is dialed. - Demonstrated Demotion Rule: The fixed example maps
qualified_confirmationtoUNKNOWN. It does not detect every hedge, validate an extraction, or establish physical safety. - 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.
- 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.
- Fail-Closed Principle: If a call fails, times out, or encounters a busy line, the verdict is
NEEDS_HUMAN_REVIEWorNOT 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 markedPASSED.qualified_confirmation("I think it should be working...") -> Demoted toUNKNOWN. Outing verdict:NOT FULLY VERIFIED.refuted("Elevator is undergoing repairs today") -> Constraint markedFAILED. 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