What is lead-manager-coach?

A call-review workflow for lead-management calls, such as follow-ups and qualification calls. It retrieves calls from SmrtPhone, transcribes them with delivery notes, and grades them against a lead-manager rubric.

Use it to pull recent calls, create transcripts, classify calls for review, and score how well an agent handled lead follow-up and qualification.

It turns recorded calls into consistent feedback instead of requiring someone to listen to and score every call manually. The rubric checks questions, objections, roadblocks, and next steps.

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

Your own site

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

Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 700 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	$0.00099	$0.00700
Opus 5.5	$0.00040	$0.00280
Sonnet 5.5	$0.00020	$0.00140
Haiku 4.5	$0.00010	$0.00070

Measured 2mo ago against content hash 0fcb65130a3c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lead-manager-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/lead-manager-coach/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lead Manager Coach

Grades lead-management calls (follow-ups, qualification, nurture touches, revivals) against the DataSift Lead Manager playbook. Same pipeline as the cold-call-coach skill; this skill applies the lead-management rubric to calls the triage step classified as lead_management.

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 7
python scripts/transcribe.py

Then take the lead_management group with worth_grading: true from output/call_coaching/review_queue.json. Transcripts live at output/call_coaching/transcripts/{call_id}.md and include a DELIVERY SUMMARY with real audio observations plus a label check line.

Grading procedure

Read references/rubric.md fully (gate, short-call rule, auto-fails, 5 categories weighted 10/30/20/20/20, anchors, templates, the required SCORES JSON footer).
Read the whole transcript once; verify AGENT/SELLER labels by content; route full vs short (short = a decline inside ~30 seconds; doubt resolves to full).
Score criterion by criterion against the 0/3/5 anchors (quote required), write one report per call to output/call_coaching/reports/lead_management/{call_id}_{caller}.md with the CRITERION SCORES table and SCORES JSON footer, then a per-caller scorecard.
Export: python scripts/export_excel.py --dir output/call_coaching/reports/lead_management

Grading quality protocol (mandatory verify pass)

Same as cold-call-coach: verbatim quotes only, evidence per criterion, N/A discipline with listed redistribution, math that foots exactly with a matching JSON footer, call-audible content only, and full vs short calls never ranked in one column.

Failure modes

Session expired: re-run python scripts/smrtphone_login.py. Key error: set OPENROUTER_API_KEY in .env. A call misclassified between cold_call and lead_management: trust your read of the transcript, note the reroute.

Read the full file on GitHub · 63 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 · 63 lines · 99 tokens per session scan A 0fcb65130a3c

Subscribe to this mod's changes

lead-manager-coach is a skill published in the GitHub repository DataSift-Ty-Personal/SiftStack (23 stars, last pushed 23d ago), licensed MIT. It adds 99 tokens to every session and 700 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

lead-manager-coach next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
lead-manager-coachDataSift-Ty-Personal/SiftStack	Skill	23	23d ago	MIT	A	99	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
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code