Agent skill

Neighbour Welfare Sweep

by CALLE-AI in CALLE-AI/awesome-phone-call-agents

Check on a list of vulnerable people by phone during a hazard — a heat warning, a power cut, a flood, smoke, a boil-water notice.

MITAuto-check passed

Install Neighbour Welfare Sweep

skills CLI
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill neighbour-welfare-sweep -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CALLE-AI/awesome-phone-call-agents neighbour-welfare-sweep --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/neighbour-welfare-sweep .claude/skills/neighbour-welfare-sweep && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
neighbour-welfare-sweep
GitHub stars
107
Token cost
~3.1k tokens
SKILL.md length
1,672 words
Files
8 (incl. references)
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Check on a list of vulnerable people by phone during a hazard — a heat warning, a power cut, a flood, smoke, a boil-water notice.

  • Works in 2 steps: Silence is a finding, not an error → The agent never summons emergency services
  • Welfare check-in calls
  • SKILL.md covers The two rules, When To Use, When Not To Use and Core Workflow, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Neighbour Welfare Sweep is an agent skill from CALLE-AI/awesome-phone-call-agents. Check on a list of vulnerable people by phone during a hazard — a heat warning, a power cut, a flood, smoke, a boil-water notice. Triage the roster against that specific hazard so the calls go out worst-first, compile the facts the hazard makes non-negotiable into a typed call result schema, read under-reported distress by meaning rather than by phrasing, treat a call nobody answered as a finding that escalates rather than a gap to skip, climb an escalation ladder that ends by preparing a responder handoff a…

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/contract-schema.md`, `references/dispatch-and-authorisation.md` and `references/escalation-ladder.md`).

The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.

When your agent uses it

  • Welfare check-in calls
  • Emergency-management outreach to a registry of at-risk residents
  • Resource dispatch off the back of those calls
  • Any call round where silence matters and no software may summon emergency services

Example prompts

  • “/neighbour-welfare-sweep”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Silence is a finding, not an error
  2. The agent never summons emergency services

What it can do on your machine

Read from SKILL.md and the folder at commit 38d4118. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Neighbour Welfare Sweep loads about 3.1k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 241 tokens; SKILL.md has 1,672 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~241
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~22k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 1,672 words, ~3,070 tokens.

Download SKILL.mdSave it as .claude/skills/neighbour-welfare-sweep/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
neighbour-welfare-sweep
description
Check on a list of vulnerable people by phone during a hazard — a heat warning, a power cut, a flood, smoke, a boil-water notice. Triage the roster against that specific hazard so the calls go out worst-first, compile the facts the hazard makes non-negotiable into a typed call result schema, read under-reported distress by meaning rather than by phrasing, treat a call nobody answered as a finding that escalates rather than a gap to skip, climb an escalation ladder that ends by preparing a responder handoff a named human must release, and send community resources to the addresses that need them while every ambulance, fire crew and police welfare check stays proposed until a named human approves it. Use for welfare check-in calls, emergency-management outreach to a registry of at-risk residents, resource dispatch off the back of those calls, and any call round where silence matters and no software may summon emergency services.
license
MIT

Neighbour Welfare Sweep

Use this skill when a hazard is affecting an area, someone holds a list of people who may be in danger because of it, and the agent has to reach all of them by phone, work out who actually needs something, and get the ones in trouble to a human.

The people on that list are frail, elderly, isolated, or dependent on equipment that needs electricity. They will under-report. Some of them will not pick up. Both of those are the point, and the two rules below are what separate this from an automated call round.

The two rules

1. Silence is a finding, not an error

In an outbound sales or staffing cascade, a call nobody answers means "move on" and costs nothing. Here it is frequently the most important thing the sweep learns. An unanswered call to a man whose oxygen concentrator is plugged into a wall socket, during a blackout, is the finding.

So: UNREACHABLE is a first-class outcome, not an exception. An unanswered, failed, or unreadable call goes into the decision function with the person's triage attached, comes back with an outcome and a reason, and escalates. And every person on the roster with no outcome at all — never dialled, opted out, budget ran out — is named in the output with the reason. A sweep is judged by whether anybody was quietly dropped, not by how many calls it made.

2. The agent never summons emergency services

The ladder is EMERGENCY_CONTACT (the agent may call the person the neighbour nominated) → BLOCK_CAPTAIN (the agent notifies the coordinator) → RESPONDER (the agent prepares a page and stops). A responder handoff is a document with released_at = null, which means it has told nobody anything, and the only way out of it is a named human releasing it.

The same boundary applies to anything the workflow sends. Community resources — a volunteer with water, a ride to a cooling centre, a portable battery, an outreach nurse — may be committed by the agent, because a wasted trip is a recoverable mistake. An ambulance, a fire crew or a police welfare check may be proposed, routed and fully prepared, and then stays proposed until a named human approves it, because a false ambulance call takes a unit away from somebody else's emergency and that is not recoverable.

This is structural, not a policy note. Read references/escalation-ladder.md for the ladder, references/dispatch-and-authorisation.md for the dispatch engine and the authorisation gates, and references/safety.md for the boundary and how to make it hold in code.

When To Use

  • a hazard is declared over an area and somebody holds a list of at-risk residents
  • an outage, heat event, or evacuation order needs a check-in round tonight, and the list is longer than the evening
  • a coordinator needs to know who is unaccounted for, not just who answered
  • the people on the list have consented to automated check-in calls
  • what a person needs (water, a cool place, a ride, someone to look in) can be offered and recorded
  • resources exist that could be sent to an address, and something has to choose which one goes where — including the case where the right answer is an emergency unit that only a person may commit

When Not To Use

  • as an emergency reporting channel, a replacement for 911, or anything a person in danger is expected to rely on
  • cold outreach to people who have not consented to check-in calls
  • medical triage, medical advice, or any clinical decision — this establishes facts and hands them to a human
  • an evacuation order where minutes matter and the correct action is knocking on doors
  • any workflow where the software would be permitted to dispatch an emergency service

Core Workflow

  1. Parse the hazard into something you can compute on and say out loud. Kind, severity, and the few facts that change the danger: temperature, humidity, outage estimate, air quality. Nothing here may raise — a missing or unparseable fact degrades to "we do not know", said out loud in the triage reasons. A crash in hazard parsing means nobody gets called at all. See references/triage.md.
  2. Triage the whole roster against this hazard. Deterministic rules, no model. Every point carries the sentence that justifies it. The output is a score, a band, an optional time-to-harm clock, and the reasons — and the same roster must reorder when the hazard changes. There is no "high-risk person" field. Read references/triage.md.
  3. Drop anyone who has not consented, at ordering time, with the reason recorded — not sorted to the bottom where an off-by-one can reach them. Keep them visible in the output: the coordinator still needs to see them.
  4. Compile the call contract per person. The hazard decides which facts become required fields in the result schema; the person's own file adds more (powered equipment, mobility, living alone). required means the call may not come home without this fact — never this must be yes. Use references/contract-schema.md.
  5. Check consent, the dial allowlist and the call budget at the moment of dialling, write an idempotency key before the dial, and place one call. See references/safety.md.
  6. Validate the returned object locally against the exact schema you sent. A null or invalid result is not a rejection of the person — it is a person you could not read, which is a kind of silence.
  7. Only if fields came back unknown or invalid, run an understanding pass over the transcript on those fields only. It may resolve an unknown; it may never overturn a definite answer the provider gave, and any quote it proposes is discarded unless the person can be shown to have said it. Where it cannot resolve, the unknown is passed on as a finding. See references/reading-distress.md.
  8. Decide deterministically, one of five outcomes: SAFE, HELP_DECLINED, NEEDS_HELP, URGENT, UNREACHABLE. Never SAFE on a call you could not read, and never SAFE on a hazard-required fact you never established. The full table, with the orderings that matter and why, is in references/escalation-ladder.md.
  9. Work the roster to the end. There is no early exit. A heat warning does not become safe because the first person answered. Only a spent call budget or a provider failure that applies to every recipient stops the sweep.
  10. Escalate everything that is not SAFE. One ladder per person per sweep. Call the nominated contact only for the outcomes that justify telling a third party about someone's health. Notify the coordinator. For the worst outcomes at the highest bands, prepare a responder handoff — and stop.
  11. Emit who is unaccounted for, with the reason for each, after the sweep reaches a terminal state and not before: "still to be called" and "the sweep ended before reaching them" are different sentences and only the finished sweep knows which one is true.
  12. If you also send resources, derive an incident per escalation with a reconciler rather than a callback, filter the fleet to legal candidates deterministically, let the model rank and justify among those only, re-validate the pick before committing, commit community resources, and stop every agency unit at "proposed" until a named human approves it. Follow references/dispatch-and-authorisation.md; it is the half of this workflow where an automation does real-world harm.
text
parse hazard -> triage roster (worst first, reasons attached) -> drop non-consenting
   -> per person: compile contract -> consent + allowlist + budget + idempotency -> call
   -> validate -> understand (only if unknown) -> decide -> escalate if not SAFE
   -> next person, to the end of the list
   -> unaccounted report

not SAFE -> incident (address + needs + priority)
   -> filter to legal candidates (code) -> rank and justify (model) -> validate (code)
   -> community resource: committed and moving
   -> agency unit: PROPOSED, prepared, and nobody has been asked until a person signs
Show full SKILL.md (473 more words)Show less

Required Fields

For the hazard: kind (heat, cold, power_outage, flood, smoke, storm, boil_water), severity, area, a human headline, a loose facts dict, and help_offered[] {key, label, text} — where text is spoken verbatim and is the only place a time, an address or a promise may come from.

For each person: name, phone, address and access notes, age_band, lives_alone, conditions[] (free text is fine — see the triage reference), power_dependent with power_backup_hours, cooling/heating, mobility, has_transport, preferred_language, the nominated contact's name, relation and phone, and check_in_consent.

Output

Per call: the compiled task and result schema, the triage assessment that put this person at this place in the queue, the structured result, validation errors, the transcript, the outcome and its reason, and the person's own words.

Per sweep: an outcome for every person called, the unaccounted list, the escalations with every rung including the skipped ones, and every prepared handoff packet with its release state — prepared: n, released: 0 is the normal, healthy reading.

Per dispatch, if you send resources: which unit, the sentence saying why that one, the computed distance and ETA, the named list of units that were not offered and why not, whether the choice came from the model or from the deterministic fallback, and — for anything that needs a person — a state that says in words that nobody has been asked yet. A declined request keeps the name and the reason.

Reading What People Actually Say

An older person alone in a hot house will tell you three times that she is fine. Judging by phrasing rather than by meaning is the failure mode this skill exists to prevent, and it is fixed in the field descriptions, which reach the extraction model. Read references/reading-distress.md before writing any of them.

Safety

Read references/safety.md before wiring this to a real provider. It covers consent, the human-authorisation boundary on emergency dispatch, what the agent may never imply on a call, health data handling, allowlist and budget, and what a voicemail may say when you do not know who is listening.

If the workflow sends resources as well as making calls, read references/dispatch-and-authorisation.md too. It has the checklist an implementation has to pass before an agent is allowed anywhere near a fleet.

Examples

See references/examples.md for a compiled contract, the same roster reordered by two different hazards, an under-reported-distress result next to the transcript that produced it, a silence that escalates, and a prepared-but-unreleased handoff packet.

Reference Implementation

A runnable app implementing all of the above — FastAPI backend, deterministic triage engine, CALL-E integration, mock provider, escalation ladder, handoff packets, a deterministic dispatch engine with the two authorisation gates, three AI operator agents that propose but never decide, ICS-214/ICS-213/situation-report generation, a wall-clock movement simulator, and a test suite for every rule here — lives at apps/python/buddye/ in this repository. Its docs/DISPATCH.md and docs/MAP.md are the worked versions of references/dispatch-and-authorisation.md.

© CALLE-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in skills/neighbour-welfare-sweep of CALLE-AI/awesome-phone-call-agents.

  • SKILL.md
  • references/contract-schema.md
  • references/dispatch-and-authorisation.md
  • references/escalation-ladder.md
  • references/examples.md
  • references/reading-distress.md
  • references/safety.md
  • references/triage.md

Open the folder on GitHubat commit 38d4118

Compare with similar skills

Neighbour Welfare Sweep next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Neighbour Welfare Sweep compared with similar skills
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People Datasickn33/agentic-awesome-skills47k1 repos~1.2kAutomated safety check: PassMIT
Performing Vulnerability Scanning With Nessusmukul975/Anthropic-Cybersecurity-Skills34k—~2.8kAutomated safety check: PassApache-2.0
Building Vulnerability Scanning Workflowmukul975/Anthropic-Cybersecurity-Skills34k—~3.2kAutomated safety check: PassApache-2.0

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Questions about Neighbour Welfare Sweep

What does Neighbour Welfare Sweep do?

Check on a list of vulnerable people by phone during a hazard — a heat warning, a power cut, a flood, smoke, a boil-water notice. Neighbour Welfare Sweep is an agent skill from CALLE-AI/awesome-phone-call-agents. Check on a list of vulnerable people by phone during a hazard — a heat warning, a power cut, a flood, smoke, a boil-water notice.

When should I use Neighbour Welfare Sweep?

Neighbour Welfare Sweep fits situations like: welfare check-in calls; emergency-management outreach to a registry of at-risk residents; resource dispatch off the back of those calls; any call round where silence matters and no software may summon emergency services.

How do I install Neighbour Welfare Sweep in Claude Code?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill neighbour-welfare-sweep -a claude-code`. Or copy the skill folder (skills/neighbour-welfare-sweep in CALLE-AI/awesome-phone-call-agents) into .claude/skills/neighbour-welfare-sweep in your project. Claude Code loads it when a task matches its description.

How do I install Neighbour Welfare Sweep in Codex?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill neighbour-welfare-sweep -a codex`. Or copy the skill folder (skills/neighbour-welfare-sweep in CALLE-AI/awesome-phone-call-agents) into .agents/skills/neighbour-welfare-sweep in your project. Codex loads it when a task matches its description.

Can I use Neighbour Welfare Sweep in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CALLE-AI/awesome-phone-call-agents --skill neighbour-welfare-sweep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/neighbour-welfare-sweep, .gemini/skills/neighbour-welfare-sweep, .github/skills/neighbour-welfare-sweep and .opencode/skills/neighbour-welfare-sweep in your project.

What does Neighbour Welfare Sweep need to run?

SKILL.md names no scripts, command-line tools or credentials: Neighbour Welfare Sweep is instructions for the agent only.

Does Neighbour Welfare Sweep access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Neighbour Welfare Sweep safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Neighbour Welfare Sweep use?

Neighbour Welfare Sweep is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Neighbour Welfare Sweep use?

About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 19k tokens, read only when the agent opens those files.

What are the alternatives to Neighbour Welfare Sweep?

Skills that share tags, products or a category with Neighbour Welfare Sweep: Vulnerability Scanning (sickn33/agentic-awesome-skills, 47k stars), Phone (BlockRunAI/ClawRouter, 6.6k stars), People Data (sickn33/agentic-awesome-skills, 47k stars) and Performing Vulnerability Scanning With Nessus (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Neighbour Welfare Sweep?

CALLE-AI (a GitHub organization) maintains it in CALLE-AI/awesome-phone-call-agents, which has 107 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on October 10, 2026.

Source: CALLE-AI/awesome-phone-call-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.