← 返回 Skills 市场
771
总下载
0
收藏
3
当前安装
7
版本数
在 OpenClaw 中安装
/install lead-extractor
功能描述
Extract structured real-estate lead records from parsed message objects. Use when users ask to find leads in WhatsApp exports, extract name-phone-budget, or...
使用说明 (SKILL.md)
Lead Extractor
Identify lead signals in parsed messages and emit strict lead objects.
Quick Triggers
- Find all buyer leads from this WhatsApp chat.
- Extract contact details and budget from these messages.
- Identify serious property inquiries from parsed messages.
Recommended Chain
message-parser -> lead-extractor -> india-location-normalizer
Execute Workflow
- Accept parsed messages from Supervisor.
- Validate input with
references/parsed-message-input.schema.json. - Apply chat-specific extraction rules from
references/extraction-rules-re-india-v1.md. - Determine
dataset_modefrom Supervisor context:- default:
broker_group - allowed:
broker_group,buyer_inquiry,mixed
- default:
- Detect lead-candidate messages using inquiry intent, contact details, and property-related preferences.
- Classify
record_type:inventory_listingfor broker inventory/availability posts (default in broker groups)buyer_requirementfor explicit "required/chahiye looking for" demand posts- drop non-lead/system noise instead of emitting
noise_or_system
- Handle multiline listings as one candidate record when body lines contain price, area, or location details.
- Build lead records with:
- required:
lead_id,name,phone,record_type - optional:
dataset_mode,property_type,budget,deal_type,asset_class,price_basis,area_sqft,area_basis,location_hint,raw_text,source,created_at
- required:
- Normalize phone extraction from spaced variants such as
+91 98205 82462and98200 78845. - Distinguish price intent from rate intent:
- examples:
3.5 Lakh rent(monthly),60K psf(per-sqft),4.25 Cr(total)
- Deduplicate leads by stable keys when records clearly refer to the same person.
- Validate output with
references/output-leads.schema.json. - Return only validated lead objects.
Enforce Boundaries
- Never write or update persistent storage.
- Never modify source messages.
- Never generate summaries.
- Never suggest or execute follow-up actions.
- Never send communication or invoke external side effects.
Handle Errors
- Reject invalid parsed-message input.
- Emit an empty array when no lead evidence exists.
- Return field-level validation errors when extracted records violate schema.
安全使用建议
This skill appears to do only what it says: validate parsed WhatsApp messages, apply local rules, and return structured lead objects. Before installing, consider privacy and data governance: the skill will process PII (names, phone numbers, budgets), so ensure you only feed it data you are allowed to share and that your agent environment / logs won't leak outputs. The 'never' rules in SKILL.md are instructions — they are not an enforcement mechanism; verify that other installed skills or the agent's runtime won't capture or forward extracted leads. If you need stronger guarantees (no network egress, no logging), run it in a constrained environment or audit the agent runtime policies. If the maintainer later adds code, external endpoints, or requests credentials, re-evaluate immediately.
功能分析
Type: OpenClaw Skill
Name: lead-extractor
Version: 1.0.6
The skill is designed for extracting and structuring real-estate lead data from parsed messages. Crucially, the `SKILL.md` explicitly defines 'Enforce Boundaries' that forbid writing to persistent storage, modifying source messages, generating summaries, suggesting/executing follow-up actions, or sending communications/invoking external side effects. This is further reinforced in the `agents/openai.yaml` default prompt. The `references/extraction-rules-re-india-v1.md` provides detailed, task-specific instructions for data processing without any malicious directives or prompt injection attempts. All files align with the stated purpose and actively prevent high-risk behaviors.
能力评估
Purpose & Capability
Name/description, schemas, and extraction rules all align: the skill only needs parsed message arrays and emits validated lead objects. There are no unexpected environment variables, binaries, or unrelated requirements.
Instruction Scope
SKILL.md explicitly restricts runtime actions to validating input, applying local extraction rules, building/validating lead objects, deduplicating, and returning results. It also states hard boundaries (no storage, no outbound actions). The instructions only reference included schema and rules files — no external endpoints or unrelated system paths are mentioned.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute; nothing is written to disk or fetched during install. This is the lowest-risk install model and matches the skill's stated role.
Credentials
The skill requests no environment variables, credentials, or config paths. All required data comes from the parsed-message input; this is proportionate to the stated extraction task. Note: the skill will process personal data (names, phones) which is expected for this purpose.
Persistence & Privilege
always:false and default invocation settings are appropriate. The SKILL.md explicitly disallows writes or outbound communication. The skill does not request persistent presence or modify other skills' configs.
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 lead-extractor - 安装完成后，直接呼叫该 Skill 的名称或使用
/lead-extractor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
v1.0.6
Align broker-group contracts: dataset_mode, record_type, and expanded summary/prioritization schemas.
v1.0.5
Data-driven extraction rules for Indian broker chat patterns
v1.0.4
Preserve RE-India title and improve install-facing guidance
v1.0.3
Improve use-when clarity and chain guidance
v1.0.2
Rename display title with RE-India suffix
v1.0.1
Append RE-India suffix to display names
v1.0.0
Initial release of lead-extractor.
- Extracts structured real-estate lead records from parsed message objects.
- Identifies buyer or seller inquiries, contact details, and property preferences in messages.
- Validates input and output against strict schemas.
- Deduplicates leads referencing the same person.
- Emits only validated lead objects; no storage, summaries, messaging, or actions.
元数据
常见问题
Lead Extractor 是什么？
Extract structured real-estate lead records from parsed message objects. Use when users ask to find leads in WhatsApp exports, extract name-phone-budget, or... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 771 次。
如何安装 Lead Extractor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install lead-extractor」即可一键安装，无需额外配置。
Lead Extractor 是免费的吗？
是的，Lead Extractor 完全免费（开源免费），可自由下载、安装和使用。
Lead Extractor 支持哪些平台？
Lead Extractor 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Lead Extractor？
由 Vishal（@vishalgojha）开发并维护，当前版本 v1.0.6。
推荐 Skills