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Agent skill

Call Right Party Gatekeeper

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

Offline experimental CALL-E transcript helper that compares recognized callee confirmation phrases with detected sensitive-disclosure keywords.

MITAuto-check passed

Install Call Right Party Gatekeeper

skills CLI
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-right-party-gatekeeper -a claude-code

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

GitHub CLI
$ gh skill install CALLE-AI/awesome-phone-call-agents call-right-party-gatekeeper --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/call-right-party-gatekeeper .claude/skills/call-right-party-gatekeeper && 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
call-right-party-gatekeeper
GitHub stars
107
Token cost
~1k tokens
SKILL.md length
462 words
Files
7 (incl. scripts, references)
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Offline experimental CALL-E transcript helper that compares recognized callee confirmation phrases with detected sensitive-disclosure keywords.

  • SKILL.md covers When To Use, When Not To Use, Workflow and Practice grounding, plus 1 more section
  • Runs Python scripts from its folder; calls python3

What it does

Call Right Party Gatekeeper is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that compares recognized callee confirmation phrases with detected sensitive-disclosure keywords. Returns advisory right-party signals, an ordering flag and a suggested verification-first goal. It does not verify identity, certify compliance, authorize disclosure or place calls.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/example-transcript-wrong-party.json`, `references/example-transcript.json` and `references/examples.md`).

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

Example prompts

  • “/call-right-party-gatekeeper”

Requirements

  • Python 3

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

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Call Right Party Gatekeeper loads about 1k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 462 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

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); the scripts in this folder 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). 462 words, ~1,036 tokens.

Download SKILL.mdSave it as .claude/skills/call-right-party-gatekeeper/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
call-right-party-gatekeeper
description
Offline experimental CALL-E transcript helper that compares recognized callee confirmation phrases with detected sensitive-disclosure keywords. Returns advisory right-party signals, an ordering flag and a suggested verification-first goal. It does not verify identity, certify compliance, authorize disclosure or place calls.
license
MIT

call-right-party-gatekeeper

Verify who is listening before saying what matters.

In collections, healthcare, and any sensitive outreach, disclosing account or medical details to the wrong listener is a compliance failure even when the call otherwise goes well. This skill audits finished CALL-E calls for the ordering question: did the agent confirm the recipient before the first sensitive disclosure keyword? This is an advisory English phrase check, not identity verification or legal-compliance certification.

When To Use

  • after an authorized CALL-E call, to flag recognized confirmation/disclosure ordering for human review, not to prove identity or permission to disclose
  • to detect wrong-party answers ("wrong number", "can I take a message") and third-party answers ("who is this calling?", "he is busy right now")
  • to generate a verification-first goal for the next plan_call that parks politely and reveals nothing until identity is confirmed

When Not To Use

  • to detect fraud or scam patterns in the conversation; use call-fraud-shield
  • to audit general call quality, disclosure of being an AI agent, or result-vs-transcript consistency; use call-review
  • during a call; CALL-E exposes transcripts, not live audio, so this is a post-call audit plus a pre-call goal template
  • as proof of who actually answered; regex-level signals miss many phrasings and the card says so

Workflow

Analyze a finished call
bash
python3 scripts/gatekeeper.py analyze --transcript path/to/call-result.json

Reads the real get_call_run result shape ({status, result: {transcript}}) or the flat shape used by sibling skill fixtures. Emits a card:

  • right_party_status: CONFIRMED / WRONG_PARTY / THIRD_PARTY_PRESENT / UNVERIFIED
  • verification_before_disclosure: ordering flag (false when disclosure preceded the first recognized callee confirmation or no confirmation was recognized; only detected phrases are compared)
  • evidence: turn index, masked span, signal type for every detected verification question, identity confirmation, wrong-party signal, third-party signal, and sensitive disclosure
  • gate_assessment: "unclear" with a reason when one side never spoke
  • recommended_action: proceed, stop_and_retry_with_script (with the verification-first goal text), or human_review (with review guidance)

All action labels are review suggestions. proceed never authorizes sensitive disclosure or a consequential action; stop_and_retry_with_script never authorizes another call. The operator must independently verify identity, decide what can be disclosed and approve any new call.

Show full SKILL.md (125 more words)Show less
Craft the verification-first goal
bash
python3 scripts/gatekeeper.py craft --scenario sensitive-outreach --language en

Emits the plan_call inputs JSON whose goal is the same template the card recommends on stop_and_retry_with_script, so audit and next call stay consistent.

Practice grounding

Right-party contact verification and third-party disclosure limits are long-standing practice in collections and healthcare outreach (for example FDCPA third-party disclosure rules and HIPAA minimum-necessary handling). This skill illustrates a narrow phrase-ordering review for CALL-E transcripts; it is not a legal assessment and claims no research results.

Differences from sibling skills

  • call-review audits call quality and compliance generally (including sensitive readbacks); this skill specializes in the single ordering question - was the recipient verified before content - and produces a ready-to-use retry script.
  • call-fraud-shield detects scams; this skill assumes the caller is legitimate and audits its own disclosure hygiene.

© 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 6 other files (scripts, references) in skills/call-right-party-gatekeeper of CALLE-AI/awesome-phone-call-agents.

  • SKILL.md
  • references/example-transcript-wrong-party.json
  • references/example-transcript.json
  • references/examples.md
  • references/safety.md
  • scripts/gatekeeper.py
  • scripts/test_gatekeeper.py

Open the folder on GitHubat commit 38d4118

Compare with similar skills

Call Right Party Gatekeeper 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.

Call Right Party Gatekeeper compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Call Right Party Gatekeeper this skillCALLE-AI/awesome-phone-call-agents107—~1kAutomated safety check: PassMIT
Baoyu Youtube TranscriptJimLiu/baoyu-skills27k1 repos~2.4kAutomated safety check: PassMIT
Youtube Transcriptbrowser-act/skills6.1k—~2.1kAutomated safety check: PassMIT
Youtube Transcriptsickn33/agentic-awesome-skills47k1 repos~1.3kAutomated safety check: PassMIT
Transcription0xsline/OpenChatCut2.2k1 repos~1.1kAutomated safety check: PassAGPL-3.0
Youtube Transcript Skillssickn33/agentic-awesome-skills47k1 repos~1.2kAutomated safety check: PassMIT

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Questions about Call Right Party Gatekeeper

What does Call Right Party Gatekeeper do?

Offline experimental CALL-E transcript helper that compares recognized callee confirmation phrases with detected sensitive-disclosure keywords. Call Right Party Gatekeeper is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that compares recognized callee confirmation phrases with detected sensitive-disclosure keywords.

How do I install Call Right Party Gatekeeper in Claude Code?

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

How do I install Call Right Party Gatekeeper in Codex?

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

Can I use Call Right Party Gatekeeper 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 call-right-party-gatekeeper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/call-right-party-gatekeeper, .gemini/skills/call-right-party-gatekeeper, .github/skills/call-right-party-gatekeeper and .opencode/skills/call-right-party-gatekeeper in your project.

What does Call Right Party Gatekeeper need to run?

Going by SKILL.md and its folder, Call Right Party Gatekeeper needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Call Right Party Gatekeeper 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 Call Right Party Gatekeeper 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Call Right Party Gatekeeper use?

Call Right Party Gatekeeper 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 Call Right Party Gatekeeper use?

About 1k tokens (SKILL.md is roughly 4.1k 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 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Call Right Party Gatekeeper?

Skills that share tags, products or a category with Call Right Party Gatekeeper: Baoyu Youtube Transcript (JimLiu/baoyu-skills, 27k stars), Youtube Transcript (browser-act/skills, 6.1k stars), Youtube Transcript (sickn33/agentic-awesome-skills, 47k stars) and Transcription (0xsline/OpenChatCut, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Call Right Party Gatekeeper?

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.