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Campaign Management

Name: Campaign Management
Author: nadavnaveh

作者 nadavnaveh · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install campaign-management

功能描述

Read campaign packages, manage campaign state, generate intelligence reports. Entry point for all campaign operations.

使用说明 (SKILL.md)

Campaign Management Skill

Manages the lifecycle of marketing campaigns — reads packages, tracks state, generates reports.

Campaign Package Structure

Each campaign lives in campaigns/\x3Cname>/ with this structure:

campaigns/\x3Cname>/
  brief.md              # REQUIRED — product, audience, ICP, tone
  config.yaml           # REQUIRED — settings (mode, language, depth, platforms)
  leads.csv             # OPTIONAL — pre-loaded leads (if empty, researcher discovers)
  messages/             # OPTIONAL — message templates for outreach mode
    linkedin-connect.md
    email-cold.md
    email-followup-1.md
  assets/               # OPTIONAL — images, attachments

  # Generated by the system:
  enriched-leads.csv    # Output from researcher
  intel/                # Per-lead intelligence files
  outbox/               # Personalized messages (outreach/autonomous mode)
  state.json            # Campaign progress tracker
  report.md             # Final campaign report
  logs/                 # Execution logs

brief.md Format

# Campaign: [Name]

## Product
[What the product/service is. What problem it solves. URL if available.]

## Target Audience
- Industries: [fintech, healthcare, logistics, etc.]
- Titles: [CTO, VP Engineering, Head of Data, etc.]
- Geography: [Israel, US East Coast, Europe, etc.]
- Company size: [10-50, 50-500, 500+, Series A-C, etc.]

## Value Proposition
[Why this audience cares. What pain point we solve.]

## Tone
[Professional, casual, bold, warm, technical, etc.]

## Special Instructions
[Anything else — competitors to mention, angles to use, topics to reference]

config.yaml Format

mode: intelligence          # intelligence | outreach | autonomous
language: en                # en | he | both
research_depth: quick       # quick | deep

# Email settings (outreach/autonomous mode)
email_provider: gmail       # gmail | outlook
secondary_domain: null      # NEVER use primary domain for cold outreach

# Rate limits
linkedin:
  connections_per_day: 20
  messages_per_day: 50
  delay_seconds: 30
email:
  sends_per_hour: 20
  delay_seconds: 10
social:
  x_posts_per_day: 5
  reddit_posts_per_day: 3

# Schedule
active_hours: "09:00-18:00"
timezone: "Asia/Jerusalem"
workdays: [0, 1, 2, 3, 4]  # Sun-Thu

state.json Format

{
  "campaign": "congreat-data",
  "mode": "intelligence",
  "status": "running",
  "started_at": "2026-03-24T09:00:00Z",
  "updated_at": "2026-03-24T10:30:00Z",
  "leads": {
    "target": 100,
    "discovered": 45,
    "enriched": 30,
    "emails_found": 28,
    "phones_found": 12,
    "emails_verified": 20
  },
  "outreach": {
    "messages_drafted": 0,
    "emails_sent": 0,
    "linkedin_sent": 0,
    "replies": 0,
    "bounced": 0
  },
  "paused": false,
  "errors": []
}

Commands

/launch \x3Ccampaign>

Start a campaign. Reads the package, validates it, begins execution based on mode.

/campaign-status \x3Ccampaign>

Show current state.json — how many leads found, messages sent, etc.

/pause \x3Ccampaign>

Set paused: true. All soldiers stop.

Report Generation

After intelligence mode completes, generate report.md:

# Campaign Intelligence Report: [Name]

## Summary
- Leads discovered: X
- Emails found: X (Y verified)
- Phone numbers found: X
- Industries covered: [list]
- Average intent score: X

## Top Leads (by intent score)
| Name | Title | Company | Email | Intent | Key Signal |
|------|-------|---------|-------|--------|------------|
| ...  | ...   | ...     | ...   | high   | ...        |

## Industry Breakdown
- Fintech: X leads
- Healthcare: X leads
...

## Recommended Next Steps
1. Review enriched-leads.csv
2. Switch to outreach mode when ready
3. Prepare message templates in messages/

安全使用建议

This skill appears to be a campaign manager that can discover leads and perform outreach, but the SKILL.md is vague about how outreach is executed and does not declare the credentials or connectors that would be required. Before installing or enabling it: - Ask the publisher which credentials or connectors it needs (SMTP/API keys, Google/Gmail/OAuth, LinkedIn/X tokens, social account tokens) and why. Require explicit declaration and least-privilege scopes. - Prefer to run without 'autonomous' outreach enabled until you know exactly how messages will be sent and have reviewed templates. - Confirm where the 'researcher' sources leads from (public web scraping, third-party data providers, internal systems) and ensure legal/privacy compliance. - Restrict the skill's filesystem access to a sandboxed campaigns/ directory and review logs/output before any network sends. - If you need higher assurance, request an implementation (code or connector list) or a provenance statement. More info that would raise confidence: explicit list of required environment variables/connector scopes, concrete command list for sending messages, and details on where lead data is sourced and stored.

功能分析

Type: OpenClaw Skill Name: campaign-management Version: 1.0.0 The skill bundle defines a structured framework for managing marketing campaigns, including lead discovery, intelligence gathering, and outreach orchestration. The instructions in SKILL.md are consistent with the stated purpose of campaign management and do not contain any malicious commands, data exfiltration attempts, or prompt injection attacks.

能力评估

ℹ Purpose & Capability

Name/description and SKILL.md consistently describe reading campaign packages, tracking state, and producing reports. However the skill also describes 'outreach' and 'autonomous' modes (sending email/LinkedIn/social) that would normally require external account credentials and API access; those are not declared. The absence of required credentials is an incoherence worth flagging.

⚠ Instruction Scope

SKILL.md directs the agent to read and write campaign files (campaigns/<name>/, state.json, outbox, logs) which is expected, but instructions are high-level and open-ended (e.g., 'begins execution based on mode', 'researcher discovers' leads). There are no explicit constraints on data sources, no explicit steps for sending messages, and no guidance limiting what external endpoints or accounts the agent may call. This grants broad discretion to perform network actions and potentially send outreach without explicit safeguards.

✓ Install Mechanism

Instruction-only skill with no install spec and no code files — lowest installation risk (nothing is written by an installer).

⚠ Credentials

No environment variables, credentials, or config paths are declared despite describing features that would typically require them (email provider credentials, OAuth tokens for LinkedIn/X, SMTP/API keys, domain management). The skill neither requests nor documents least-privilege access, raising ambiguity about how the agent is expected to obtain and use those secrets.

ℹ Persistence & Privilege

always is false and model invocation is allowed (normal). The combination of autonomous/outreach capabilities with autonomous invocation increases potential impact if the agent has access to sending credentials or network access, but the skill does not request permanent system-level privileges or modify other skills.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install campaign-management
安装完成后，直接呼叫该 Skill 的名称或使用 /campaign-management 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of the campaign-management skill. - Reads and validates campaign packages with standardized structure. - Manages campaign state and progress tracking via state.json. - Supports multiple campaign modes: intelligence, outreach, autonomous. - Generates comprehensive intelligence reports with key metrics and summaries. - Provides commands to launch, pause, and check status of campaigns.

元数据

Slug campaign-management

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题