staircase-risk-radar

staircase-risk-radar is a skill for Claude Code from gs-bbluhm/gainsight-mcp-plugins. It costs 149 tokens per session (4,616 once invoked), scanned A, original, MIT.

A portfolio view of customer risk for customer-success leaders. It groups at-risk revenue, explains the recorded reasons, considers renewal timing, and points to where leadership should focus.

In plain words
What is it for?
Use it to review risk by team, tier, or segment; prioritize accounts near renewal; and decide where to invest leadership attention or start a recovery program.
Why use it?
It turns many individual account warnings into a smaller set of revenue and urgency questions. Leaders can see how much is exposed, why it is exposed, and which teams or segments need action.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the staircase plugin — 14 skills shipped together

Good fit Use it to review risk by team, tier, or segment; prioritize accounts near renewal; and decide where to invest leadership attention or start a recovery program.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gs-bbluhm/gainsight-mcp-plugins/staircase-risk-radar
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 gs-bbluhm/gainsight-mcp-plugins --skill staircase-risk-radar
Clone the repo
git clone --depth 1 https://github.com/gs-bbluhm/gainsight-mcp-plugins

Made for: Claude Code.

Or install staircase, the plugin that ships this one along with the rest of its 14 skills.

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 staircase-risk-radar

README.md
[![agentmods](https://agentmods.dev/badge/skills/gs-bbluhm/gainsight-mcp-plugins/staircase-risk-radar/github.svg)](https://agentmods.dev/skills/gs-bbluhm/gainsight-mcp-plugins/staircase-risk-radar)
Your own site
<a href="https://agentmods.dev/skills/gs-bbluhm/gainsight-mcp-plugins/staircase-risk-radar"><img src="https://agentmods.dev/badge/skills/gs-bbluhm/gainsight-mcp-plugins/staircase-risk-radar/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 staircase-risk-radar

Your own site · 80×15
<a href="https://agentmods.dev/skills/gs-bbluhm/gainsight-mcp-plugins/staircase-risk-radar"><img src="https://agentmods.dev/badge/skills/gs-bbluhm/gainsight-mcp-plugins/staircase-risk-radar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,616 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 $0.00149 $0.04616
Opus 5.5 $0.00060 $0.01846
Sonnet 5.5 $0.00030 $0.00923
Haiku 4.5 $0.00015 $0.00462

Measured 25d ago against content hash 62c4072cc4bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

staircase-risk-radar 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 25d 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.

plugins/staircase/skills/staircase-risk-radar/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Staircase Risk Radar (leader / portfolio)

A CS leader does not need a red list of hundreds of accounts. They need four answers: how much revenue is at risk, why, which of it has a clock on it, and what to do, segmented so they can point a team at it. This skill answers those from structured reports (deterministic ranking, counts, revenue rollups), then grounds the "why" in the Risk analyst's stored driving factors and the cohort's own communication themes.

This is the portfolio lens. For a single account's full risk read + save sequence use ../staircase-risk-check/; for one CSM's weekly action list across every motion use the Book Triage skill. This skill deliberately stops at the leader's decisions: where to invest, which program to stand up, which deals to personally step into.

Foundation references (read BEFORE composing any query)

  • ../staircase-mcp-expert/ and ../staircase-mcp-expert/references/advanced-report-patterns.md: the report engine, the EXISTS/child-aggregation forms, the argument system, field ids, and the reliability rules in ../staircase-mcp-expert/references/anti-patterns.md. This skill assumes them.
  • ../staircase-app-design/: the app chrome + the interactive-experiences standard the radar follows. Read before rendering the visual.
  • ../../_shared/staircase-output-best-practices.md: house style, evidence discipline, no CRM writes.

Scope (decide first)

  • Whole org (default for a leader): status = Active, no owner filter.
  • A segment: add customer.tier In [...] (tier names via the tier entity; they vary per org, so discover them rather than assuming).
  • A team, by book owner: customer.owner is not always the CSM; on some orgs it holds a structurally different role, and attributing risk "by owner" then routes the finding to the wrong people. Use the resolved book-owner field (scope.book_owner_field in the profile, or the foundation's first-call contract), then filter customer.<book_owner_field> In [<user_ids>] (ids from current_user_id or a user roster report) or customer.<book_owner_field>.full_name In ["<names>"].
  • Portable fields only. Never hardcode a specific _c field id (e.g. a custom ARR field). Use customer.revenue_converted for revenue, tier.name for segment, and the confirmed book-owner field (a runtime parameter) for team rollups. Discover what exists per org via report_metadata.

Read the full file on GitHub · 158 lines

Files

What ships with it

2 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.

  1. 25d ago First seen · 158 lines · 149 tokens per session scan A 62c4072cc4bf

Subscribe to this mod's changes

staircase-risk-radar is a skill published in the GitHub repository gs-bbluhm/gainsight-mcp-plugins (4 stars, last pushed 20d ago), licensed MIT. It adds 149 tokens to every session and 4,616 once invoked, about $0.0006 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 2026-09-26.

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