What is closer-coach?

A call-review workflow for acquisitions and closing calls, such as negotiations, offer discussions, contract talks, and in-person appointments. It transcribes recordings and grades them against a closing rubric, meaning a set of agreed coaching criteria.

It is for pulling eligible SmrtPhone calls, transcribing them, reviewing the closing group, and producing individual coaching reports.

It turns recorded conversations into consistent feedback on discovery, money discussions, offers, objections, and gaining commitment.

closer-coach — Skill for Claude Code and Codex by DataSift-Ty-Personal

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 closer-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 closer-coach — /plugin install closer-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/closer-coach/github.svg)](https://agentmods.dev/skills/datasift-ty-personal/siftstack/closer-coach)

Your own site

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

Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 753 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	$0.00090	$0.00753
Opus 5.5	$0.00036	$0.00301
Sonnet 5.5	$0.00018	$0.00151
Haiku 4.5	$0.00009	$0.00075

Measured 2mo ago against content hash 5c95878bae1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

closer-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/closer-coach/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Closer Coach

Grades acquisitions calls (offer presentation, negotiation, renegotiation, contract talk, in-person appointment recordings) against the DataSift Closer playbook. Same pipeline as the cold-call-coach skill; this skill applies the closing rubric to calls the triage step classified as closing.

Requirements, setup, and costs

Identical to the cold-call-coach skill (same scripts, same session, same .env): python scripts/smrtphone_login.py once, OPENROUTER_API_KEY in .env, optional roster.json. Transcription costs about $0.002 per audio minute.

Pipeline

python scripts/pull_calls.py --min-seconds 60 --days 14
python scripts/transcribe.py

Then take the closing group with worth_grading: true from output/call_coaching/review_queue.json. Closing calls are rarer and longer than cold calls; if the queue is empty, widen the window (--days 30) or drop --min-seconds to 45. Very long calls (over ~25 min) may need the MP3 split with ffmpeg (-f segment -segment_time 900) and the parts transcribed in order.

Grading procedure

Read references/rubric.md fully (gate with the in-person variant, auto-fails, 6 categories weighted 15/25/20/25/10/5, anchors, template, the required SCORES JSON footer).
Read the whole transcript once; verify AGENT/SELLER labels by content.
Score criterion by criterion against the 0/3/5 anchors (quote required), compute the weighted /100 and band, and write one report per call to output/call_coaching/reports/closing/{call_id}_{caller}.md with the CRITERION SCORES table and SCORES JSON footer. Closing calls deserve depth: include a negotiation timeline (each price or term mentioned, who moved, what triggered the move) and a "the moment it was won or lost" section quoting the pivotal exchange.
Export: python scripts/export_excel.py --dir output/call_coaching/reports/closing

Grading quality protocol (mandatory verify pass)

Same as cold-call-coach: verbatim quotes only, evidence per criterion, N/A discipline with listed redistribution (N/A when the situation never arose, e.g. renegotiation criteria on a first-offer call), math that foots exactly with a matching JSON footer, and call-audible content only.

Read the full file on GitHub · 65 lines

Files

What ships with it

7 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 · 65 lines · 90 tokens per session scan A 5c95878bae1c

Subscribe to this mod's changes

closer-coach is a skill published in the GitHub repository DataSift-Ty-Personal/SiftStack (23 stars, last pushed 23d ago), licensed MIT. It adds 90 tokens to every session and 753 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.

Learning and teaching

closer-coach next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
closer-coachDataSift-Ty-Personal/SiftStack	Skill	23	23d ago	MIT	A	90	Claude Code, Codex
hr-onboardingnexu-io/open-design	Skill	106k	yesterday	Apache-2.0	A	62	Claude Code, Codex
book-mirrorgarrytan/gbrain	Skill	32k	yesterday	MIT	A	138	Claude Code
exam-forecastanthropics/claude-for-legal	Skill	9.9k	3d ago	Apache-2.0	A	73	Claude Code
lean-formalizewanshuiyin/Auto-claude-code-research-in-sleep	Skill	19k	3d ago	MIT	A	81	Claude Code
eli5companion-inc/feynman	Skill	10k	6d ago	MIT	A	63	Claude Code, Codex
deck-course-modulenexu-io/html-anything	Skill	9.4k	25d ago	Apache-2.0	A	25	Claude Code, Codex