explain-kpi-move

explain-kpi-move is a skill for Claude Code from gulmezeren2-byte/erp-report-engine. It costs 44 tokens per session (536 once invoked), scanned A, original, MIT.

A guide for explaining why a weekly ERP business measure changed, using the reporting engine’s calculated findings and data checks. ERP is software businesses use to manage operations such as sales, orders, and stock.

In plain words
What is it for?
Use it to explain changes in revenue, on-time delivery, or stock cover, confirm the main driver with a query, and report data-quality warnings.
Why use it?
It helps avoid guessing at causes and distinguishes a real change from normal week-to-week variation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the erp-report-engine plugin — 3 skills, 2 commands, 1 MCP server shipped together

Good fit Use it to explain changes in revenue, on-time delivery, or stock cover, confirm the main driver with a query, and report data-quality warnings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gulmezeren2-byte/erp-report-engine/explain-kpi-move
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 gulmezeren2-byte/erp-report-engine --skill explain-kpi-move
Clone the repo
git clone --depth 1 https://github.com/gulmezeren2-byte/erp-report-engine

Made for: Claude Code.

Or install erp-report-engine, the plugin that ships this one along with the rest of its 3 skills, 2 commands, 1 MCP server.

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.

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README.md
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Your own site
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agentmods 80×15 button for explain-kpi-move

Your own site · 80×15
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Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 536 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 $0.00044 $0.00536
Opus 5 $0.00022 $0.00268
Sonnet 5 $0.00009 $0.00107
Haiku 4.5 $0.00004 $0.00054

Measured 10d ago against content hash 8ff093e3501d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

explain-kpi-move 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 10d 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.

skills/explain-kpi-move/SKILL.md · 40 lines

What it actually says

Explain a KPI move

Use this when someone asks "why did revenue / on-time / cover change this week?" The honest answer uses what erp-report-engine already derived — not a guess.

Steps

  1. Get the briefing. Call weekly_report. It returns the KPIs (this week vs previous vs 8-week baseline), the findings, the reconciliation, and the SQL audit_trail.
  2. Lead with the finding. The engine's findings already name the driver (e.g. "Revenue +26.7% WoW — main driver: region 'Ege' (157% of the move)") and any SPC signal ("148,291 is ABOVE the control limits … a real shift beyond week-to-week noise"). Quote that; it is deterministic and audited.
  3. Signal vs noise. If the finding says a move is within control limits, say so plainly — "this week's dip is inside normal week-to-week variation, not a real change." Don't manufacture a story for noise.
  4. Confirm the driver if asked. To go deeper, run one aggregate query (see erp-safe-query): SELECT region, SUM(net_total) … for this week vs last. Report the split; don't speculate beyond it.
  5. Name the caveats. If data_quality_issues flags unscored on-time orders, duplicates, or a reconciliation mismatch, surface it — a KPI built on shaky inputs deserves the asterisk.

Guardrails

  • No invented causes. "Revenue rose because of a marketing campaign" is not in the data. Attribute only to what the driver split and findings support (a region, a customer, a status).
  • Correlation ≠ cause. The engine attributes where a move concentrated, not why it happened in the real world. Frame it as "the move concentrates in X — confirm whether that's demand or a one-off," exactly as the finding does.
  • Percentages need a base. A "+400%" on a tiny customer is smaller than a "+5%" on the biggest one; report the absolute change alongside the percent.
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. 10d ago First seen · 40 lines · 44 tokens per session scan A 8ff093e3501d

Subscribe to this mod's changes

explain-kpi-move is a skill published in the GitHub repository gulmezeren2-byte/erp-report-engine (1 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 536 once invoked, about $0.0002 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 2026-08-31.

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