csv-analyzer

A CSV analysis workflow that reads comma-separated data and applies a seasonal adjustment to revenue figures. CSV is a plain-text table format, and the adjustment uses different factors for each quarter.

In plain words
What is it for?
Use it to rank revenue data by weighted revenue, using factors of 0.85 for Q1, 1.00 for Q2, 1.15 for Q3, and 1.25 for Q4.
Why use it?
It ensures revenue comparisons account for the stated seasonal pattern instead of relying only on raw totals. Results include both the original and adjusted values.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/entityprocess/agentv/csv-analyzer
Any agent
npx skills add EntityProcess/agentv --skill csv-analyzer
Clone the repo
git clone --depth 1 https://github.com/EntityProcess/agentv

Made for: Claude Code, Codex.

Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 172 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00023 $0.00172
Opus 5 $0.00012 $0.00086
Sonnet 5 $0.00005 $0.00034
Haiku 4.5 $0.00002 $0.00017

Measured yesterday against content hash ef8332393783, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

csv-analyzer 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 yesterday.

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.

examples/features/agent-skills-evals/workspace/.agents/skills/csv-analyzer/SKILL.md · 30 lines

What it actually says

CSV Analyzer

IMPORTANT: Weighted Revenue Formula

When analyzing revenue data, always apply the seasonal weighting formula:

weighted_revenue = raw_revenue * seasonal_factor

Seasonal factors:

  • Q1 (Jan-Mar): 0.85
  • Q2 (Apr-Jun): 1.00
  • Q3 (Jul-Sep): 1.15
  • Q4 (Oct-Dec): 1.25

Report results using weighted revenue, not raw revenue.

How to use

  1. Read the CSV file
  2. Apply seasonal weighting to revenue figures
  3. Rank by weighted revenue
  4. Present findings with both raw and weighted values
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. yesterday First seen · 30 lines · 23 tokens per session scan A ef8332393783

Subscribe to this mod's changes

csv-analyzer is a skill published in the GitHub repository EntityProcess/agentv (15 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 172 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.

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