Borrowing it
Nothing to install: this file belongs to xiongQvQ/-b2b-lead-hunter-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xiongQvQ/-b2b-lead-hunter-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/xiongQvQ/-b2b-lead-hunter-skillWrote 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.
[](https://agentmods.dev/instructions/xiongqvq/-b2b-lead-hunter-skill/claude-md)<a href="https://agentmods.dev/instructions/xiongqvq/-b2b-lead-hunter-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/xiongqvq/-b2b-lead-hunter-skill/claude-md/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.
<a href="https://agentmods.dev/instructions/xiongqvq/-b2b-lead-hunter-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/xiongqvq/-b2b-lead-hunter-skill/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00700 | $0.00700 |
| Opus 5 | $0.00350 | $0.00350 |
| Sonnet 5 | $0.00140 | $0.00140 |
| Haiku 4.5 | $0.00070 | $0.00070 |
Grade A, and why
-b2b-lead-hunter-skill CLAUDE.md 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
This project also supports Cursor (see .cursor/rules/b2b-lead-hunter.mdc) and Cline (see .clinerules / CLINE.md).
Commands
pip3 install requests # Install the only external dependency
python -m py_compile scripts/*.py # Syntax validation for all scripts
python scripts/validate_artifact.py leads path/to/leads.jsonl # Validate artifact by type
Smoke test the outreach pipeline:
python scripts/prepare_outreach.py ... && \
python scripts/generate_outreach_templates.py ... && \
python scripts/generate_outreach_drafts.py ... && \
python scripts/evaluate_outreach_drafts.py ... && \
python scripts/send_smtp.py --dry-run ...
Valid artifact types: lead, brief, decision-maker, customs-verification, outreach-candidate, outreach-template, outreach-draft, outreach-evaluation, sender-profile, sent-log, smtp-config.
Architecture
Hermes/Judgment vs Scripts/Deterministic split — Hermes (the AI) owns search strategy, fit scoring, language choice, and approval decisions. Python scripts own normalization, page reading, contact extraction, deduplication, validation, template rendering, draft evaluation, export, and SMTP plumbing.
Pipeline stages: brief → search → read websites → score/split → export → decision-maker discovery → customs verification → outreach preparation → templates → drafts → evaluate → approve → send
Artifact contracts — Each stage reads/writes JSONL files validated against JSON schemas in templates/. The schemas are enforced at runtime by scripts/contracts.py (695 lines, imported by 8+ scripts). This is the central dependency — know it before modifying any script that touches artifacts.
Hard gates — Quality overrides target count. Leads cannot enter strict CSV without company reality, buyer-role evidence, contactability, and source URLs. SMTP sending is blocked by multiple hash-locked gates (evaluation hash, approval hash, suppression check, duplicate check, dry-run success). Never auto-sends to inferred emails or free-mail addresses.
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.
- 11d ago First seen · 46 lines · 700 tokens per session scan A ba4e66411d5e
-b2b-lead-hunter-skill CLAUDE.md is an instructions file published in the GitHub repository xiongQvQ/-b2b-lead-hunter-skill (30 stars, last pushed 3mo ago), licensed MIT. It adds 700 tokens to every session, about $0.0035 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.
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