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octopus-analysis

octopus-analysis is a skill for Claude Code from DanielChicot/octopus-mcp. It costs 68 tokens per session (505 once invoked), scanned A, original, MIT.

A set of instructions for analysing an Octopus Energy account, including bills, electricity use, tariffs, and saving sessions. Octopus Energy is an electricity provider.

In plain words
What is it for?
It is for answering questions about spending, usage patterns, peak hours, tariff comparisons, current tariffs, and saving-session history.
Why use it?
It tells an agent which account-analysis tools to use and requires it to state periods, units, time zones, and important caveats instead of guessing figures.

Skill for Claude Code

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

Part of the octopus plugin — 1 skill, 4 commands, 1 MCP server shipped together

not rated 0repo 4mo ago A scan 68 tokens original MIT

Good fit It is for answering questions about spending, usage patterns, peak hours, tariff comparisons, current tariffs, and saving-session history.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielchicot/octopus-mcp/octopus-analysis
View source ↗ DanielChicot/octopus-mcp
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 DanielChicot/octopus-mcp --skill octopus-analysis
Clone the repo
git clone --depth 1 https://github.com/DanielChicot/octopus-mcp

Made for: Claude Code.

Or install octopus, the plugin that ships this one along with the rest of its 1 skill, 4 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.

agentmods badge for octopus-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielchicot/octopus-mcp/octopus-analysis/github.svg)](https://agentmods.dev/skills/danielchicot/octopus-mcp/octopus-analysis)
Your own site
<a href="https://agentmods.dev/skills/danielchicot/octopus-mcp/octopus-analysis"><img src="https://agentmods.dev/badge/skills/danielchicot/octopus-mcp/octopus-analysis/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 octopus-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielchicot/octopus-mcp/octopus-analysis"><img src="https://agentmods.dev/badge/skills/danielchicot/octopus-mcp/octopus-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 505 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 $0.00068 $0.00505
Opus 5.5 $0.00027 $0.00202
Sonnet 5.5 $0.00014 $0.00101
Haiku 4.5 $0.00007 $0.00051

Measured 2mo ago against content hash 0ef03bffbe6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

octopus-analysis 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 2mo 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/octopus/skills/octopus-analysis/SKILL.md · 35 lines

What it actually says

Octopus account analysis

When the user asks about their Octopus Energy account, use the MCP tools — never invent figures.

Quick playbook

User asks Tool to call first
"How much did I spend last month?" bill_summary with period.kind = "last_month"
"What did I use last week?" usage_breakdown with period.kind = "last_7_days", group_by = "day"
"When am I using the most electricity?" peak_hours with period.kind = "last_quarter", top_n = 10
"Should I switch to Tracker / Agile / Cosy / Go?" compare_tariff with the relevant target_product_code
"How am I doing on saving sessions?" saving_session_history
"What tariff am I on?" current_tariff

Conventions

  • Always state the period analysed and the units (pence inc-VAT, kWh) so the user can sanity-check.
  • When a tool returns caveats, show them — they prevent the user being misled by simplified projections.
  • For tariff comparisons, lead with the pounds_summary headline and put the detail underneath.
  • For peak analysis, convert UTC timestamps to Europe/London (BST when applicable) before presenting.
  • If the user mentions a tariff name without a code (e.g. "Tracker"), call list_products and pick a sensible matching code. If multiple match, ask the user which.
  • Never speculate about Saving Sessions earnings — only report what saving_session_history returns.

Things not to do

  • Don't claim the user "would have saved" anything beyond the delta_pence returned — the model is a pure tariff swap, not a behavioural projection.
  • Don't recommend Intelligent Octopus; the comparator can't model dispatches and the tool returns an error guiding to alternatives.
  • Don't write to the user's Octopus account; the MCP is read-only.
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. 2mo ago First seen · 35 lines · 68 tokens per session scan A 0ef03bffbe6c

Subscribe to this mod's changes

octopus-analysis is a skill published in the GitHub repository DanielChicot/octopus-mcp (0 stars, last pushed 4mo ago), licensed MIT. It adds 68 tokens to every session and 505 once invoked, about $0.0003 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 2026-08-31.

Analytics and metricsFinance and fintech
Related

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octopus-analysis next to 6 skills from other repositories
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