Agent skill

Call Closing Sequence Auditor

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

Offline heuristic CALL-E transcript skill that audits the call's closing window for conversation-analytic completeness - pre-closing summary, arrangement for next steps, completed terminal exchange…

MITAuto-check passed

Install Call Closing Sequence Auditor

skills CLI
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-closing-sequence-auditor -a claude-code

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

GitHub CLI
$ gh skill install CALLE-AI/awesome-phone-call-agents call-closing-sequence-auditor --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-closing-sequence-auditor .claude/skills/call-closing-sequence-auditor && 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-closing-sequence-auditor
GitHub stars
107
Token cost
~1.2k tokens
SKILL.md length
589 words
Files
10 (incl. scripts, references)
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Offline heuristic CALL-E transcript skill that audits the call's closing window for conversation-analytic completeness - pre-closing summary, arrangement for next steps, completed terminal exchange…

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

What it does

Call Closing Sequence Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline heuristic CALL-E transcript skill that audits the call's closing window for conversation-analytic completeness - pre-closing summary, arrangement for next steps, completed terminal exchange, dangling callee questions, business after the farewell, abrupt ends - and emits a clean-closing goal template. It is not a satisfaction measure, proof the call failed, or authorization to act automatically.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/example-transcript-abrupt.json`, `references/example-transcript-dangling.json` and `references/example-transcript-nosummary.json`).

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-closing-sequence-auditor”

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 Closing Sequence Auditor loads about 1.2k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 589 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4k

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). 589 words, ~1,248 tokens.

Download SKILL.mdSave it as .claude/skills/call-closing-sequence-auditor/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
call-closing-sequence-auditor
description
Offline heuristic CALL-E transcript skill that audits the call's closing window for conversation-analytic completeness - pre-closing summary, arrangement for next steps, completed terminal exchange, dangling callee questions, business after the farewell, abrupt ends - and emits a clean-closing goal template. It is not a satisfaction measure, proof the call failed, or authorization to act automatically.
license
MIT

call-closing-sequence-auditor

The last twenty seconds are what the person repeats to their family. The body of the call is forgotten; the ending is the memory.

Closings are not hanging up. In conversation analysis they are an organized sequence the two parties co-produce: a pre-closing summary of what was settled, an arrangement for what happens next, a mutually exchanged goodbye. A call that stops short of that sequence leaves the person with unanswered questions, or with business introduced after the farewell that nobody can act on. This skill grades the shape of that final sequence on a finished CALL-E transcript.

When To Use

  • after any outcome-bearing CALL-E call, before writing up the results
  • in QA pipelines, to batch-scan finished transcripts for endings that need a follow-up touch
  • before replaying calls with a tighter scripted closing, to compare ending shape across runs

When Not To Use

  • as a satisfaction or call-quality score; the card measures sequence shape, not how the person felt
  • when the callee hung up mid-flow; truncation by the caller is a legitimate ending and is not the agent's failure
  • during a call; strictly post-call analysis plus pre-call goal crafting
  • on non-English transcripts; every lexicon is English-only

Workflow

Audit a finished call
bash
python3 scripts/closing_sequence_auditor.py analyze \
  --transcript path/to/call-result.json

Reads the real get_call_run result shape ({status, result: {transcript}}) or the flat fixture shape used by sibling skill fixtures. The closing window is the last 6 turns (the whole transcript if shorter); the six checks are:

  • summary_present: an agent turn in the window that marks a summary ("just to confirm", "to recap", ...) or states a confirm verb ("booked", "confirmed", ...) backed by a concrete value

  • arrangement_present: an agent move that settles the next step ("we'll send", "you'll receive", "no further action", ...)

  • terminal_exchange_complete: the agent said a farewell in the window and the callee said one anywhere after the first turn

  • dangling_question: the callee's last "?" received only farewells - or nothing at all

  • post_closing_business: the agent introduced values or questions after its own first farewell

  • abrupt_end: no agent farewell in the window and the call stops on a question or a plain non-farewell turn

  • verdict: WELL_FORMED_CLOSING / DEFICIENT_CLOSING, plus unclear paths (empty transcript, insufficient signal); reasons[] lists the gaps in a fixed order - MISSING_SUMMARY, MISSING_ARRANGEMENT, NO_TERMINAL_EXCHANGE, DANGLING_QUESTION, POST_CLOSING_BUSINESS, ABRUPT_END - with NO_TERMINAL_EXCHANGE suppressed when ABRUPT_END already names the truncated goodbye

Show full SKILL.md (212 more words)Show less
Craft the clean-closing goal
bash
python3 scripts/closing_sequence_auditor.py craft --scenario clean-closing

Emits the plan_call inputs JSON whose goal sequences a clean ending: restate the outcome with its key value, state the next step, ask for further business and wait, only then say goodbye.

Scientific Foundation

ResearchRelevance
Opening up Closings (Schegloff & Sacks, Semiotica 7(4):289-327, 1973)Foundational conversation analysis of how closings are co-produced: possible pre-closings, arrangement sequences, terminal exchanges - our six checks operationalize the sequence shape
Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level (Wang, Dai, Liu, Wang et al., Findings of ACL 2024, arXiv 2404.05337)The STSS benchmark treats "when to end a conversation" as a socially-sensitive agent action that can be scored objectively - closing behavior is measurable, not just vibes

Citation notes recorded during verification: both references were web-verified on 2026-10-01 with the exact venues and IDs shown above. This skill compares lexical sequence shape only, has no access to prosody or intent, and labels every output analysis_mode: "heuristic".

Differences from sibling skills

  • call-goal-drift-auditor audits topic discipline across the whole call against the goal; this skill audits only the final sequence's shape.
  • call-review checks result-field support and compliance; the farewell structure is outside its checks.
  • call-agent-commitment-tracker tracks obligation payloads wherever they occur; this skill checks only that the closing contained an arrangement MOVE.

© 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 9 other files (scripts, references) in skills/call-closing-sequence-auditor of CALLE-AI/awesome-phone-call-agents.

  • SKILL.md
  • references/example-goal.txt
  • references/example-transcript-abrupt.json
  • references/example-transcript-dangling.json
  • references/example-transcript-nosummary.json
  • references/example-transcript.json
  • references/examples.md
  • references/safety.md
  • scripts/closing_sequence_auditor.py
  • scripts/test_closing_sequence_auditor.py

Open the folder on GitHubat commit 38d4118

Compare with similar skills

Call Closing Sequence Auditor 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 Closing Sequence Auditor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Call Closing Sequence Auditor this skillCALLE-AI/awesome-phone-call-agents107—~1.2kAutomated safety check: PassMIT
Audit Preparationsickn33/agentic-awesome-skills47k1 repos~5.3kAutomated safety check: PassMIT
Production Auditaffaan-m/ECC277k1 repos~1.9kAutomated safety check: PassMIT
Baoyu Youtube TranscriptJimLiu/baoyu-skills27k1 repos~2.4kAutomated safety check: PassMIT
Youtube Transcriptbrowser-act/skills6.1k—~2.1kAutomated safety check: PassMIT
Aims Auditalirezarezvani/claude-skills28k—~1.3kAutomated safety check: PassMIT

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Questions about Call Closing Sequence Auditor

What does Call Closing Sequence Auditor do?

Offline heuristic CALL-E transcript skill that audits the call's closing window for conversation-analytic completeness - pre-closing summary, arrangement for next steps, completed terminal exchange…. Call Closing Sequence Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline heuristic CALL-E transcript skill that audits the call's closing window for conversation-analytic completeness - pre-closing summary, arrangement for next steps, completed terminal exchange, dangling callee questions, business after the farewell, abrupt ends - and emits a clean-closing goal template.

How do I install Call Closing Sequence Auditor in Claude Code?

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

How do I install Call Closing Sequence Auditor in Codex?

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

Can I use Call Closing Sequence Auditor 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-closing-sequence-auditor -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-closing-sequence-auditor, .gemini/skills/call-closing-sequence-auditor, .github/skills/call-closing-sequence-auditor and .opencode/skills/call-closing-sequence-auditor in your project.

What does Call Closing Sequence Auditor need to run?

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

Does Call Closing Sequence Auditor 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 Closing Sequence Auditor 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 Closing Sequence Auditor use?

Call Closing Sequence Auditor 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 Closing Sequence Auditor use?

About 1.2k tokens (SKILL.md is roughly 5k 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 2.8k tokens, read only when the agent opens those files.

What are the alternatives to Call Closing Sequence Auditor?

Skills that share tags, products or a category with Call Closing Sequence Auditor: Audit Preparation (sickn33/agentic-awesome-skills, 47k stars), Production Audit (affaan-m/ECC, 277k stars), Baoyu Youtube Transcript (JimLiu/baoyu-skills, 27k stars) and Youtube Transcript (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Call Closing Sequence Auditor?

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.