What makes Search Term Miner notable?

1.1K downloads. Trust evidence available

How should Search Term Miner be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Search Term Miner

Use when the user asks to "mine my search terms", "find new keywords from converting queries", "build a negative-keyword list", or "cut wasted paid spend"; h... Skill: Search Term Miner Owner: aaron-he-zhu Summary: Use when the user asks to "mine my search terms", "find new keywords from converting queries", "build a negative-keyword list", or "cut wasted paid spend"; h... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T15:08:09.658Z | auto search-term-miner v19.0.0 - Bumped version to 19.0.0 and updated all version references in metadata. - Added new file: distrib

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

19.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 19.0.0release · observed Jul 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17e1tg8pjra8dn1dvtq21sahx83hrxj:search-term-miner

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-search-term-miner/snapshot"

Documentation

CLAWHUB

70,794 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: search-term-miner
slug: aaron-search-term-miner
displayName: "Search Term Miner · 付费广告搜索词挖掘"
summary: "付费广告搜索词挖掘/否定关键词/浪费词清单"
description: 'Use when the user asks to "mine my search terms", "find new keywords from converting queries", "build a negative-keyword list", or "cut wasted paid spend"; harvests converting queries into new keywords/ad-groups, builds a standing negative-keyword list and an n-gram waste report from the search-terms export, and delivers a maintenance diff (add / negate / move). Not for account structure — use campaign-architect; not for budget split — use budget-optimizer; not for computing the final RQS — use ad-account-auditor. 付费广告搜索词挖掘/否定关键词/浪费词清单'
version: "19.0.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
when_to_use: "Use on a recurring cadence to mine a fresh search-terms report: promote converting queries into new keywords or ad groups, build and grow a standing negative-keyword list, and produce an n-gram waste report that names the tokens draining spend without converting."
argument-hint: "<search-terms export path/paste> [goal] [conversion column]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "ad", "phase": "research", "geo-relevance": "low", "hermes": {"tags": ["marketing", "ad", "research"], "category": "ad"}, "openclaw": {"emoji": "🎯", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Search Term Miner

Turns a search-terms report into two standing outputs: new keywords/ad-groups harvested from converting queries, and a negative-keyword + n-gram waste list built from queries that spent without converting. It is the recurring mining loop that `campaign-architect` used to carry as a mode — that skill now owns account structure only, and this skill owns the search-term harvest and negative hygiene. It scores the ROAS **S (Spend-efficiency)** lever it works on and hands off; it does not compute the final RQS.

## Quick Start

```
Mine my search terms. Here is my exported search-terms report: [paste/path]. Goal is [DR/prospecting].
```

```
Build a negative-keyword list and an n-gram waste report from this search-terms export: [path].
```

```
Which converting queries should become new keywords or ad groups? Here is the search-terms + conversions export.
```

## Skill Contract

**Expected output**: a maintenance diff (add / negate / move), a set of harvested keywords/ad-groups from converting queries, a standing negative-keyword list, an n-gram waste report ranking the tokens draining spend without converting, a ROAS **S** dimension score with notes, and the standard handoff summary.

- **Reads**: the exported search-terms report (query, impressions, clicks, cost, conversions, conv. value), the ROAS profile (`direct-response|prospecting|incremental-profit`), and the existing ad-group/negative structure from [campaign-architect](../campaign-archi

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "search-term-miner",
  "version": "19.0.0",
  "publishedAt": 1784905689658
}

skill-card.md

## Description:

Search Term Miner analyzes paid advertising search-term exports to harvest converting queries into new keywords or ad groups, propose negative keywords, rank wasted spend with n-grams, and produce a maintenance diff with ROAS spend-efficiency notes.

This skill is ready for commercial/non-commercial use.

## Publisher:

[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu)

### License/Terms of Use:

MIT-0

## Use Case:

Marketing operators and advertising analysts use this skill to mine paid-search term exports for converting queries, negative keywords, waste-heavy n-grams, and recurring campaign maintenance actions.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill handles business-sensitive advertising search-term exports and may preserve analysis summaries in memory.

Mitigation: Use exports intended for analysis, avoid including unrelated sensitive data, and confirm before saving reusable summaries or promoting findings to shared memory.

Risk: Keyword additions, moves, and negative-keyword recommendations can harm campaign performance if applied without review.

Mitigation: Review proposed add, negate, and move actions, including thresholds, match types, and measured cost or conversion evidence, before applying them in an ad platform.

Risk: Optional ad-platform API access can expand data exposure beyond manual exports.

Mitigation: Prefer manual exports unless API access is necessary, and enable keyed platform access only with appropriate account authorization and data handling controls.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/search-term-miner)
- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)

## Skill Output:

**Output Type(s):** [text, markdown, configuration, guidance]

**Output Format:** [Markdown maintenance diff with keyword, negative-keyword, n-gram waste, score, and handoff sections]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May save user-confirmed summaries under memory/ad/search-term-miner/ and promote durable findings to memory hot-cache and open-loops.]

## Skill Version(s):

19.0.0 (source: server evidence and frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

distribution-manifest.json

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    "inline-delivery",
    "canonical-state-read"
  ],
  "capability_ceiling": "lite",
  "catalog_sha256": "6f0256cf52710f2916ecebaea0f3110c9313099ec4a69a11cac72ba9b2f3b940",
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      "mode": "0644",
      "path": "SKILL.md",
      "sha256": "384e4bb848708ac5706d8015fb9f6c17e2236eb505210baeec491747ce2f0c22"
    }
  ],
  "files_sha256": "8aec1615060d463a2f2212d81810574e0a8ef1b5685cebd4ed4b51fd1a051483",
  "hash_algorithm": "sha256",
  "kind": "standalone-skill",
  "manifest_excludes": [
    "distribution-manifest.json"
  ],
  "manifest_path": "distribution-manifest.json",
  "package_ceiling": {
    "max_bytes": 1000000,
    "max_files": 64
  },
  "profile": "lite",
  "profile_definition_sha256": "4598e1f7bba667ef928ea2a60a6252ad9348086e9eecab29437db442df2a568e",
  "schema_version": "1.1",
  "source": {
    "commit": "f552620c278afddcb25d09637a0cfcc1ce48faf4",
    "repository": "aaron-he-zhu/aaron-marketing-skills"
  }
}

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