What is cold-call-coach?

A call-review workflow for first-contact cold calls that pulls SmrtPhone recordings, transcribes the spoken words and tone, and grades conversations against a cold-calling rubric.

It is for reviewing real cold-call recordings, identifying calls suitable for grading, producing coaching results, and exporting them to Excel.

It gives callers structured feedback on openings, motivation questions, objections, tone, and the quality of the next-step request.

cold-call-coach — Skill by DataSift-Ty-Personal/SiftStack

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add DataSift-Ty-Personal/SiftStack --skill cold-call-coach

Clone the repo

git clone --depth 1 https://github.com/DataSift-Ty-Personal/SiftStack

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin cold-call-coach — /plugin install cold-call-coach after adding the marketplace above.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/cold-call-coach/github.svg)](https://agentmods.dev/skills/datasift-ty-personal/siftstack/cold-call-coach)

Your own site

<a href="https://agentmods.dev/skills/datasift-ty-personal/siftstack/cold-call-coach"><img src="https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/cold-call-coach/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/datasift-ty-personal/siftstack/cold-call-coach"><img src="https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/cold-call-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,262 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00103	$0.01262
Opus 5.5	$0.00041	$0.00505
Sonnet 5.5	$0.00021	$0.00252
Haiku 4.5	$0.00010	$0.00126

Measured 2mo ago against content hash 997cbc4ffe99, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cold-call-coach scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/export_excel.py, scripts/pull_calls.py, scripts/smrtphone_login.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/cold-call-coach/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cold Call Coach

Grades real first-touch cold calls against the DataSift cold-calling playbook. The pipeline pulls recordings straight from your SmrtPhone web session (no API exists for this), transcribes them with an audio-capable model so tonality observations are heard rather than guessed, then Claude grades each gradeable conversation against references/rubric.md and exports everything to Excel.

Requirements and setup (once)

Python 3.10+ with: pip install playwright openpyxl then playwright install chromium
SmrtPhone login: python scripts/smrtphone_login.py (headed window opens, log in once; the session is saved to smrtphone_state.json and lasts weeks)
OpenRouter key for transcription: copy scripts/env.example to .env and set OPENROUTER_API_KEY (get one at openrouter.ai)
Optional team roster: copy scripts/roster.example.json to roster.json to pin caller roles (a dedicated cold caller's calls never route to another rubric) and exclude departed callers

Costs (transparent)

Transcription: about $0.002 per audio minute (Gemini 2.5 Flash via OpenRouter). A week of coaching for a 3-caller team (say 60 gradeable calls averaging 2 minutes) costs roughly $0.25 in transcription.
Recording downloads and the call log are free (your existing SmrtPhone plan).
Grading runs inside your Claude session.

Pipeline

Run from your project folder:

python scripts/pull_calls.py --min-seconds 60 --days 7   # call log + MP3s
python scripts/transcribe.py                              # audio -> transcripts + triage

Outputs land in output/call_coaching/:

call_log.json / calls_to_review.json - every call, then the review set
transcripts/{call_id}.md - diarized transcript with inline delivery notes ([long pause 4s], [rushed], [warm tone]) plus a DELIVERY SUMMARY block (pace, agent energy, talk balance, notable audio moments) and a label check line
review_queue.json - calls grouped: cold_call / lead_management / closing / not_gradeable

Read the full file on GitHub · 111 lines

Files

What ships with it

12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 111 lines · 103 tokens per session scan A 997cbc4ffe99

Subscribe to this mod's changes

cold-call-coach is a skill published in the GitHub repository DataSift-Ty-Personal/SiftStack (23 stars, last pushed 23d ago), licensed MIT. It adds 103 tokens to every session and 1,262 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metrics Marketing and SEO

cold-call-coach next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
cold-call-coachDataSift-Ty-Personal/SiftStack	Skill	23	23d ago	MIT	A	103	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
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