Agent skill

Call Agent Commitment Tracker

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

Offline heuristic CALL-E phone call transcript skill that extracts and classifies agent Commissive Speech Acts — promises, follow-up pledges, and delegation statements — into WITHDEADLINE…

MITAuto-check passedProductivity & Automation

Install Call Agent Commitment Tracker

skills CLI
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-agent-commitment-tracker -a claude-code

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

GitHub CLI
$ gh skill install CALLE-AI/awesome-phone-call-agents call-agent-commitment-tracker --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-agent-commitment-tracker .claude/skills/call-agent-commitment-tracker && 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-agent-commitment-tracker
GitHub stars
106
Token cost
~1.4k tokens
SKILL.md length
637 words
Files
7 (incl. scripts, references)
Skills in repo
98
Repo updated
First seen
Licence
MIT

At a glance

Offline heuristic CALL-E phone call transcript skill that extracts and classifies agent Commissive Speech Acts — promises, follow-up pledges, and delegation statements — into WITHDEADLINE…

  • Tasks that involve Meeting notes and agendas
  • 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
  • Tasks that involve Legal research

What it does

Call Agent Commitment Tracker is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline heuristic CALL-E phone call transcript skill that extracts and classifies agent Commissive Speech Acts — promises, follow-up pledges, and delegation statements — into WITHDEADLINE, WITHOUTDEADLINE, and CONDITIONAL buckets, then emits a verification follow-up call goal. It is not proof a commitment was broken, a legal analysis, or authorization to act automatically.

Its SKILL.md is about 1.4k 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-commitments.json`, `references/example-transcript-none.json` and `references/examples.md`).

It sits in Productivity & Automation, covering Meeting notes and agendas and Legal research. 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

  • Tasks that involve Meeting notes and agendas
  • Tasks that involve Legal research

Example prompts

  • “/call-agent-commitment-tracker”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ae5f78f. 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 Agent Commitment Tracker loads about 1.4k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 637 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

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 ae5f78f, republished under its MIT licence (© CALLE-AI). 637 words, ~1,407 tokens.

Download SKILL.mdSave it as .claude/skills/call-agent-commitment-tracker/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
call-agent-commitment-tracker
description
Offline heuristic CALL-E phone call transcript skill that extracts and classifies agent Commissive Speech Acts — promises, follow-up pledges, and delegation statements — into WITH_DEADLINE, WITHOUT_DEADLINE, and CONDITIONAL buckets, then emits a verification follow-up call goal. It is not proof a commitment was broken, a legal analysis, or authorization to act automatically.
license
MIT

call-agent-commitment-tracker

An agent that says "I'll send that right away" and doesn't — is worse than one that said nothing.

When an automated agent makes a call, it often commits to future actions: sending a confirmation email, having a specialist call back, filing a referral. Those commitments are audible, remembered by the person, and completely untracked unless this skill reads the transcript.

This is the post-call layer: it reads the finished get_call_run transcript, extracts every agent commitment, classifies it by urgency, and hands you a ready-to-use follow-up call goal to verify fulfillment.

When To Use

  • after any CALL-E call where the agent may have made forward-looking promises
  • as part of a quality-assurance pipeline to prevent "ghost commitments"
  • before a follow-up call to understand what the previous call committed to
  • in collection, healthcare, or support workflows where broken commitments carry legal or reputational risk

When Not To Use

  • to audit the callee's promises (this skill only tracks agent turns)
  • during a call; strictly post-call analysis plus pre-call goal crafting
  • as a definitive legal record; it is heuristic and advisory only
  • to replace CRM or ticketing systems for obligation tracking

Workflow

Audit a finished call
bash
python3 scripts/commitment_tracker.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 skills. Emits a commitment card:

  • commitments[]: each detected commitment with turn_index, classification, and evidence (PII-masked, capped at 200 chars)
  • commitment_count: counts by WITH_DEADLINE, WITHOUT_DEADLINE, CONDITIONAL
  • verdict: COMMITMENTS_FOUND / NONE_FOUND, plus unclear paths (empty transcript, no agent turns)
  • recommended_action: schedule_followup_call with guidance, or no_followup_required
  • disclaimer: heuristic advisory disclaimer on every card
Commitment classifications
ClassDescriptionExamples
WITH_DEADLINECommitment with explicit time window"within 30 min", "by end of day", "ASAP", "right away"
WITHOUT_DEADLINEOpen-ended pledge"I will follow up", "we will send"
CONDITIONALPledge contingent on callee action"I will if you confirm", "once you approve"
Callee turns are always excluded

The skill only scans AGENT turns (speakers not in callee / customer / patient / caller / recipient / user). A callee saying "I will think about it" is never recorded as an organization commitment.

Craft the follow-up call goal
bash
python3 scripts/commitment_tracker.py craft --scenario commitment-followup

Emits the plan_call inputs JSON whose goal instructs the next call to: verify whether the promised action was carried out, acknowledge any gap without blame, and escalate to a human colleague if needed — without making new commitments itself.

Show full SKILL.md (256 more words)Show less

Scientific Foundation

ResearchRelevance
Searle, J.R. — Speech Acts: An Essay in the Philosophy of Language (Cambridge Univ. Press, 1969)Taxonomy origin of Commissive acts — utterances that commit the speaker to a future action; the theoretical basis for the classification in this skill
Austin, J.L. — How to Do Things with Words (2nd ed., Oxford Univ. Press, 1975)Foundational theory of performative utterances; commissives are one of five illocutionary act classes
Burdisso et al. — Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction (EMNLP 2024, arXiv:2410.18481)Methodology for mapping utterances by communicative function; commitment extraction is a direct application of the commissive-action region
Choubey et al. — Turning Conversations into Workflows: A Framework to Extract and Evaluate Dialog Workflows for Service AI Agents (Salesforce AI Research, ACL 2025, arXiv:2502.17321)Empirical validation of extracting procedural commitments from customer-agent transcripts; confirms the practical grounding of this skill
SemEval-2025 Task 6 — PromiseEval: Multinational, Multilingual, Multi-Industry Promise Verification (ACL Anthology 2025, aclanthology.org/2025.semeval-1.321)The most recent benchmark for promise detection and verification; provides taxonomy and evaluation methodology directly applicable to this skill

This skill implements a lexical/regex heuristic that operationalizes the commissive-speech-act class. It does not use model internals and labels every output analysis_mode: "heuristic".

Differences from sibling skills

  • call-cross-call-consistency-checker compares stated facts across two calls for contradictions; this skill tracks future-action pledges within one call.
  • call-review audits general call quality and compliance; this skill specializes exclusively in forward-looking agent commitments.
  • call-agent-certainty-calibrator grades how confidently the agent stated facts; this skill grades whether the agent made promises it should follow up on.

© 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-agent-commitment-tracker of CALLE-AI/awesome-phone-call-agents.

  • SKILL.md
  • references/example-transcript-commitments.json
  • references/example-transcript-none.json
  • references/examples.md
  • references/safety.md
  • scripts/commitment_tracker.py
  • scripts/test_commitment_tracker.py

Open the folder on GitHubat commit ae5f78f

Compare with similar skills

Call Agent Commitment Tracker 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 Agent Commitment Tracker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Call Agent Commitment Tracker this skillCALLE-AI/awesome-phone-call-agents106—~1.4kAutomated safety check: PassMIT
Other Legal RetrievalTHUYRan/Legal-Skills-Chinese868—~13kAutomated safety check: PassNone
Meeting Briefing Anthropiclawve-ai/awesome-legal-skills8361 repos~2.3kAutomated safety check: PassApache-2.0
Client Onboardingindranilbanerjee/digital-marketing-pro8551 repos~1.8kAutomated safety check: PassMIT
Meeting Notesoutline/outline41k—~551Automated safety check: PassCustom licence
Management Talkthananon/9arm-skills3.2k—~3.2kAutomated safety check: PassNone

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Questions about Call Agent Commitment Tracker

What does Call Agent Commitment Tracker do?

Offline heuristic CALL-E phone call transcript skill that extracts and classifies agent Commissive Speech Acts — promises, follow-up pledges, and delegation statements — into WITHDEADLINE…. Call Agent Commitment Tracker is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline heuristic CALL-E phone call transcript skill that extracts and classifies agent Commissive Speech Acts — promises, follow-up pledges, and delegation statements — into WITHDEADLINE, WITHOUTDEADLINE, and CONDITIONAL buckets, then emits a verification follow-up call goal.

When should I use Call Agent Commitment Tracker?

Call Agent Commitment Tracker fits situations like: tasks that involve Meeting notes and agendas; tasks that involve Legal research.

How do I install Call Agent Commitment Tracker in Claude Code?

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

How do I install Call Agent Commitment Tracker in Codex?

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

Can I use Call Agent Commitment Tracker 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-agent-commitment-tracker -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-agent-commitment-tracker, .gemini/skills/call-agent-commitment-tracker, .github/skills/call-agent-commitment-tracker and .opencode/skills/call-agent-commitment-tracker in your project.

What does Call Agent Commitment Tracker need to run?

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

Does Call Agent Commitment Tracker 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 Agent Commitment Tracker 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 Agent Commitment Tracker use?

Call Agent Commitment Tracker 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 Agent Commitment Tracker use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Call Agent Commitment Tracker?

Skills that share tags, products or a category with Call Agent Commitment Tracker: Other Legal Retrieval (THUYRan/Legal-Skills-Chinese, 868 stars), Meeting Briefing Anthropic (lawve-ai/awesome-legal-skills, 836 stars), Client Onboarding (indranilbanerjee/digital-marketing-pro, 855 stars) and Meeting Notes (outline/outline, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Call Agent Commitment Tracker?

CALLE-AI (a GitHub organization) maintains it in CALLE-AI/awesome-phone-call-agents, which has 106 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 8, 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.