Customer Concentration Risk Analyzer Agent Skill

Analyzes customer concentration across revenue, gross profit, and cash flow to quantify churn risks and build structured diversification…

Context cost
4k tokensestimated from the bundle, loaded when it triggers
Bundle
5 files · 30.1 kB1 script among them — read before you run
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Diagnose revenue, gross-profit, and cash-collection concentration by customer; quantify a major customer's loss, contraction, or payment delay; and build an owned diversification plan. Use when a business depends on a few customers or must assess renewal, receivables, and customer-loss risk; do not use for statutory revenue recognition, credit underwriting, or automatic customer outreach.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

analytics

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md5.2 kB · preview
--- name: customer-concentration-risk license: MIT metadata: author: ficilcom ---
9# 顧客集中リスク診断
10
11同じ期間、通貨、収益基準にそろえた顧客別の売上・粗利・現金回収から集中度を示し、最大または指定顧客の解約、縮小、支払遅延が損益と現金へ与える影響を診断する。契約・更新・回収・代替可能性と顧客間の相関を踏まえ、実行責任を持つ分散計画を作る。これは運営上の管理分析であり、監査、信用判断、法務・会計上の専門判断ではない。
12
13## 進め方
14
151. 最初に[インテーク](references/intake.md)を読み、提出済みの請求、契約、更新、売掛、入金、原価、予測、パイプライン資料を質問より先に確認する。顧客名は匿名IDにし、重要入力をconfirmed、reported、estimated、unknownに区別する。unknownをゼロへ置き換えない。
162. 一回の分析につき、対象期間、単一通貨、収益基準(認識・請求・回収など)、顧客集合を固定する。同じ顧客が別期間、別通貨、総額・純額、異なる収益ストリームで重複しないことを確認する。換算前提がなければ通貨別に分ける。
173. [計算モデル](references/calculation-model.md)を読み、必要最小限に匿名化したJSONをスキル外に作る。売上・粗利・現金回収それぞれについて、上位1/3/5/10比率、顧客シェア、HHIを計算する。入力に不明値があれば、その指標をindeterminateとして不足を示し、既知分だけから全体比率を断定しない。
184. スキルのルートでpython3 scripts/calculate_customer_concentration.py <input.json>を実行する。検証エラーは入力を訂正する。不明な粗利、現金、固定費、月次純現金増減を推測して影響額やランウェイを完成させない。
195. 最大顧客または利用者指定顧客について、少なくとも根拠のあるbaseを作る。結論を変え得る場合は、解約、縮小、支払遅延を別シナリオとして置く。各シナリオの現金影響は、収益額から自動推定せず、回収時期を反映した一時影響と月次継続影響を明示する。
206. 出力と[報告書形式](references/report-format.md)を使い、集中指標を普遍的な安全判定にせず、会社規模、粗利、固定費負担、契約残期間・更新日・解約通知、支払条件・売掛回収、代替可能性、顧客相関、営業キャパ、確度別パイプラインとともに報告する。
217. 分散計画には、新規小口顧客だけでなく更新防衛、請求・支払条件、セグメント・チャネル・商品集中の是正を入れる。各施策にオーナー、期限、依存条件、先行指標、想定するリスク低下、根拠区分を置く。未計算施策を数値効果として表示しない。
22
23## 判断上の制約
24
25- 上位比率とHHIは集中の記述指標であり、単独で安全・危険を決める閾値ではない。少数顧客でも高粗利、長期契約、更新分散、前受金、低い顧客相関、代替需要があれば意味が変わり、逆も同様である。
26- 粗利、固定費、現金回収、月次純現金増減の範囲と期間を混ぜない。シナリオの固定費吸収は、顧客別粗利と同期間の固定費がそろう場合だけ示す。ランウェイは利用可能現金、最低バッファ、ベース月次純現金増減、明示的なシナリオ現金影響がそろう場合だけ計算する。
27- 支払遅延は解約や値引きと同一視しない。回収予定日、遅延額、回収見込み、契約上の回収条件を分けて記録する。顧客の解約確率、回収確率、代替売上、更新率を根拠なしに仮定しない。
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md98 words
Files5
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈120
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
3,830
on trigger
The instruction body and 4 supporting files, read only when the skill fires.
2.0%
of a 200k window
Ten skills this size would take about 20% of the window before you open a file.
050k100k150k200k context window

4k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Middling. Fine to keep on in a project where you use it weekly, worth unloading in one where you never do.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

5 files, 30.1 kB on disk. Mostly text — the instructions the model reads — with 1 script in it that your client would run only if the instructions tell it to.

  • SKILL.md5.2 kB
  • references/calculation-model.md4.5 kB
  • references/intake.md2.8 kB
  • references/report-format.md3.3 kB
  • scripts/calculate_customer_concentration.py14.3 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 1 script beside the text, so the bundle is 5 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Customer Concentration Risk Analyzer · 4k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/customer-concentration-risk-analyzer/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/customer-concentration-risk-analyzer" ] && { [ ! -e .claude/skills/customer-concentration-risk-analyzer ] || { mv .claude/skills/customer-concentration-risk-analyzer "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/customer-concentration-risk-analyzer" .claude/skills/ && echo "Installed .claude/skills/customer-concentration-risk-analyzer"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add ficilcom/customer-concentration-risk-analyzer

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/customer-concentration-risk-analyzer/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/customer-concentration-risk-analyzer/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/customer-concentration-risk-analyzer" ] && { [ ! -e ~/.claude/skills/customer-concentration-risk-analyzer ] || { mv ~/.claude/skills/customer-concentration-risk-analyzer "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/customer-concentration-risk-analyzer" ~/.claude/skills/ && echo "Installed ~/.claude/skills/customer-concentration-risk-analyzer" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/customer-concentration-risk-analyzer/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. It appears as customer-concentration-risk in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, customer-concentration-risk-analyzer.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referenceficilcom/customer-concentration-risk-analyzer

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

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