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monthly-report

monthly-report is a skill for Claude Code from logly/mureo. It costs 104 tokens per session (5,251 once invoked), scanned A, original, Apache-2.0.

A monthly client or stakeholder report covering marketing activity across configured platforms. It compares the previous full calendar month with the month before it and reviews goals, actions, budgets, and recommendations.

In plain words
What is it for?
Use it to report goal attainment, summarize action outcomes by command, review budget use, compare months, and recommend work for the next month.
Why use it?
It turns scattered monthly activity into a clear account of results, completed work, spending, and next steps.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is PREREQUISITE: Read `../_mureo-shared/SKILL.md` for auth, security rules, output format, and **Tool Selection** (Read/Write on Code, `mureo_strategy_*` / `mureo_.

Part of the mureo plugin — 29 skills, 1 MCP server shipped together

not rated 64repo +3 changed 2d ago A scan SkillSpector: pass 104 tokens original Apache-2.0

Good fit Use it to report goal attainment, summarize action outcomes by command, review budget use, compare months, and recommend work for the next month.

Compare 6 skills from other repositories ↓
View source ↗ logly/mureo mureo.io
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/logly/mureo
agentmods
npx agentmods add skills/logly/mureo/monthly-report

Made for: Claude Code.

Or install mureo, the plugin that ships this one along with the rest of its 29 skills, 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 monthly-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/logly/mureo/monthly-report/github.svg)](https://agentmods.dev/skills/logly/mureo/monthly-report)
Your own site
<a href="https://agentmods.dev/skills/logly/mureo/monthly-report"><img src="https://agentmods.dev/badge/skills/logly/mureo/monthly-report/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 monthly-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/logly/mureo/monthly-report"><img src="https://agentmods.dev/badge/skills/logly/mureo/monthly-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,251 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00104 $0.05251
Opus 5.5 $0.00042 $0.02100
Sonnet 5.5 $0.00021 $0.01050
Haiku 4.5 $0.00010 $0.00525

Measured 2d ago against content hash af07715d6a85, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

monthly-report 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 2d 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.

mureo/_data/skills/monthly-report/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Monthly Report

PREREQUISITE: Read ../_mureo-shared/SKILL.md for auth, security rules, output format, and Tool Selection (Read/Write on Code, mureo_strategy_* / mureo_state_* MCP on Desktop / Cowork).

Tool names below refer to the built-in platforms; a namespaced variant (see _mureo-shared → Namespaced built-in variants) is used with its prefix substituted.

Generate a client-facing monthly marketing operations report. This mirrors /weekly-report but over a calendar month, with month-over-month comparison, a goal-attainment verdict, and language written for the client/stakeholder who receives it — not internal shorthand.

Prerequisites

  • STRATEGY.md with Goals (run the onboard skill first)
  • STATE.json with action_log (actions must have been logged during the month)

Steps

Before you start: Run the Diagnostic preamble from ../_mureo-shared/SKILL.md — load learning insights (mureo_learning_insights_get) and consult advisors (mureo_consult_advisor) before drawing conclusions.

  1. Establish today: call mureo_state_get first, on every host (including Claude Code, where you would otherwise Read the file) and take server_now from its response — ISO 8601 with UTC offset, e.g. 2026-07-28T10:12:33+09:00. Its date is the only source of the current date for this run, and this report is entirely calendar-driven: it decides which month is "the previous full month", the MTD cut-off date, the explicit YYYY-MM-DD..YYYY-MM-DD range you build for the month-before-last, and whether an observation_due window has closed. Do not shell out (this skill must run in Bash-less headless hosts) and do not read the date off STATE.json — last_synced_at, reports.*.period and action_log timestamps are history, never evidence of what day it is now; reporting a month late is exactly the failure this step prevents. Never write server_now into STATE.json: it is a response field, and a persisted copy becomes tomorrow's stale "today".

Read the full file on GitHub · 109 lines

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. 2d ago Changed af07715d6a85
  2. 3d ago Changed 3cff32132deb
  3. 4d ago Changed 0039a3db9e23
  4. 7d ago Changed 664a74eb6bec
  5. 8d ago Changed 0dd0531615e9
  6. 9d ago Changed 0d5ef0c878ad
  7. 10d ago Changed 0e4bd028836c
  8. 14d ago Changed 645a36ac4550
  9. 15d ago Changed 00cbff0603ee
  10. 16d ago First seen · 109 lines · 104 tokens per session scan A 1eb46e134f9c

Subscribe to this mod's changes

monthly-report is a skill published in the GitHub repository logly/mureo (64 stars, last pushed 2d ago), licensed Apache-2.0. It adds 104 tokens to every session and 5,251 once invoked, about $0.0004 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 2026-08-30.

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monthly-report compared with skills from other repositories

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