rescue-an-account

rescue-an-account is a command for Claude Code from mohitagw15856/pm-claude-skills. It costs 23 tokens per session (282 once invoked), scanned A, original, MIT.

A guided workflow for saving a customer account that may not renew. Renewal is the point when a customer decides whether to continue paying for a service.

In plain words
What is it for?
Use it to score account health, investigate possible churn, prepare an escalation brief, and plan the renewal conversation.
Why use it?
It turns scattered account signals into a risk assessment, root-cause analysis, internal action plan, and renewal strategy.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to score account health, investigate possible churn, prepare an escalation brief, and plan the renewal conversation.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/mohitagw15856/pm-claude-skills/rescue-an-account
About the project

PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.

mohitagw15856/pm-claude-skills · 1,357 stars · on GitHub · mohitagw15856.github.io

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.

Clone the repo
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills

Made for: Claude Code.

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.

agentmods badge for rescue-an-account

README.md
[![agentmods](https://agentmods.dev/badge/commands/mohitagw15856/pm-claude-skills/rescue-an-account/github.svg)](https://agentmods.dev/commands/mohitagw15856/pm-claude-skills/rescue-an-account)
Your own site
<a href="https://agentmods.dev/commands/mohitagw15856/pm-claude-skills/rescue-an-account"><img src="https://agentmods.dev/badge/commands/mohitagw15856/pm-claude-skills/rescue-an-account/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.

agentmods 80×15 button for rescue-an-account

Your own site · 80×15
<a href="https://agentmods.dev/commands/mohitagw15856/pm-claude-skills/rescue-an-account"><img src="https://agentmods.dev/badge/commands/mohitagw15856/pm-claude-skills/rescue-an-account.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 282 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.00282
Opus 5 $0.00012 $0.00141
Sonnet 5 $0.00005 $0.00056
Haiku 4.5 $0.00002 $0.00028

Measured 13d ago against content hash 45a2c49b2633, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

rescue-an-account 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 13d ago.

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.

commands/rescue-an-account.md · 18 lines

What it actually says

Run the Rescue an Account workflow recipe for: $ARGUMENTS

This is a chain of skills. Run each stage in order and carry every stage's output forward as context for the next. Open with a one-line plan of the 4 stages, then ask once for any essential missing inputs (ARR, renewal date, usage signals, the trigger). Don't re-ask between stages.

Run each stage under a clear ## Stage N — <name> heading:

  1. Score the risk — apply the cs-health-scorecard skill to produce a health score and the specific risk drivers.
  2. Find the cause — apply the churn-analysis skill to identify the root cause and whether the risk is avoidable.
  3. Escalate it — apply the cs-escalation-brief skill to write the internal brief and resolution plan.
  4. Plan the renewal — apply the renewal-playbook skill to build the renewal strategy and negotiation plan.

Do not invent account facts — work only with what is given. End with a 4-bullet "What you now have" recap.

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.

  1. 13d ago First seen · 18 lines · 23 tokens per session scan A 45a2c49b2633

Subscribe to this mod's changes

rescue-an-account is a command published in the GitHub repository mohitagw15856/pm-claude-skills (1,357 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 282 once invoked, about $0.0001 per session on Opus 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.