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search-term-cleanup

search-term-cleanup is a skill for Claude Code from logly/mureo. It costs 100 tokens per session (1,818 once invoked), scanned A, original, Apache-2.0.

A search-term review tool for cleaning advertising queries and keywords by classifying intent and identifying unwanted terms.

In plain words
What is it for?
Use it to review search-term reports, add negative keywords, clean queries, and compare signals from Search Console, GA4, and ad platforms.
Why use it?
It helps reduce irrelevant matches and improve the quality of traffic and search data across advertising and analytics platforms.

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 — 27 skills, 1 MCP server shipped together

not rated 43repo changed 3d ago A scan SkillSpector: warn 100 tokens original Apache-2.0

Good fit Use it to review search-term reports, add negative keywords, clean queries, and compare signals from Search Console, GA4, and ad platforms.

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/search-term-cleanup

Made for: Claude Code.

Or install mureo, the plugin that ships this one along with the rest of its 27 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 search-term-cleanup

README.md
[![agentmods](https://agentmods.dev/badge/skills/logly/mureo/search-term-cleanup.svg)](https://agentmods.dev/skills/logly/mureo/search-term-cleanup)
Your own site
<a href="https://agentmods.dev/skills/logly/mureo/search-term-cleanup"><img src="https://agentmods.dev/badge/skills/logly/mureo/search-term-cleanup.svg" alt="Measured on agentmods" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,818 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 10
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 $0.00100 $0.01818
Opus 5 $0.00050 $0.00909
Sonnet 5 $0.00020 $0.00364
Haiku 4.5 $0.00010 $0.00182

Measured 3d ago against content hash 5c3bdeeb929b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

search-term-cleanup 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 3d 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/search-term-cleanup/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search Term Cleanup

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).

Review and clean up search terms and keywords across all platforms.

Prerequisites

  • STRATEGY.md and STATE.json must exist (run the onboard skill first)

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: the observation_due you write in step 11, and every "is a previous action still inside its observation window?" check in step 9, are measured from it. 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. Never write server_now into STATE.json: it is a response field, and a persisted copy becomes tomorrow's stale "today".

  2. Load context: Read STRATEGY.md (Persona, USP, Target Audience, Data Sources) and STATE.json (the same mureo_state_get response from step 0 on MCP hosts).

  3. Discover platforms: Identify all configured platforms that support search term data from STATE.json platforms. Also include any hosted official-MCP connector present in the session (e.g. TikTok, key tiktok_ads) where it exposes search-term data — drive it via its own tools and skip mureo-only value-adds; see ../_mureo-shared/SKILL.md → Hosted-connector platforms.

  4. Review search terms: For each ad platform that supports search term data:

    • Google Ads: prefer mureo native — call google_ads_search_terms_report for the raw query rows, then google_ads_search_terms_review (rule-based scoring) and google_ads_search_terms_analyze (intent classification) per campaign. These tools work in both Live API and BYOD mode. In BYOD they read from ~/.mureo/byod/google_ads/search_terms.csv (the Apps Script bundle output) — do not look for raw CSVs in the project directory; mureo BYOD data is centralized in the workspace byod/ directory (or ~/.mureo/byod/ for legacy CLI users) and is only accessible through mureo MCP tools. If mureo's Google Ads tools are unavailable (e.g. MUREO_DISABLE_GOOGLE_ADS=1 after mureo providers add google-ads-official), fall back to the official google-ads-official MCP's search-terms report tool for the raw rows, then skip the mureo-only rule-based scoring and intent-classification tools (google_ads_search_terms_review, google_ads_search_terms_analyze) and do the scoring/classification yourself using the rules described in step 6 below; note to the user that mureo's automated scoring is only available with the native MCP (install or re-enable via mureo setup claude-code).
    • Meta Ads: Skip — Meta is interest/audience-targeted and has no search-query data (this applies to both mureo native and the official Meta MCP).
    • Analyze N-gram patterns and user intent across the returned rows.

Read the full file on GitHub · 70 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. 3d ago Changed 5c3bdeeb929b
  2. 7d ago First seen · 70 lines · 100 tokens per session scan A 847aea33e9a6

Subscribe to this mod's changes

search-term-cleanup is a skill published in the GitHub repository logly/mureo (43 stars, last pushed 5d ago), licensed Apache-2.0. It adds 100 tokens to every session and 1,818 once invoked, about $0.0005 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.

Marketing and SEOadvertisingai-agentscligoogle-adsmarketingmcp
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