Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add generect/generect_mcp --skill generect-lead-workflowsgit clone --depth 1 https://github.com/generect/generect_mcpWrote 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/skills/generect/generect_mcp/generect-lead-workflows)<a href="https://agentmods.dev/skills/generect/generect_mcp/generect-lead-workflows"><img src="https://agentmods.dev/badge/skills/generect/generect_mcp/generect-lead-workflows/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/skills/generect/generect_mcp/generect-lead-workflows"><img src="https://agentmods.dev/badge/skills/generect/generect_mcp/generect-lead-workflows.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 | $0.00100 | $0.02925 |
| Opus 5.5 | $0.00040 | $0.01170 |
| Sonnet 5.5 | $0.00020 | $0.00585 |
| Haiku 4.5 | $0.00010 | $0.00293 |
Grade A, and why
generect-lead-workflows scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **CLI / scripts** — wrap the REST API. Do not shell out to `curl` when the MCP How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generect lead workflows
Generect is a pay-per-result B2B data API. Every row you receive costs money. An agent that searches before it counts spends the user's balance discovering that an ICP was too broad — which is the single most common complaint about tool-driven prospecting.
This skill exists to make that impossible.
The one rule
Never call a paid tool until a free one has told you what it will cost.
Sizing an audience is free. Use it. Always.
count_leads (free) → preview_leads (cheapest paid) → search_leads (per row) → generate_email (per valid email)
The money model
| Operation | Billed |
|---|---|
count_leads, count_companies (cached mode) |
free |
get_balance, get_bulk_job, health, the webhook tools (list_webhooks, create_webhook, update_webhook, delete_webhook, test_webhook) |
free |
preview_leads |
per returned row — the cheapest way to see real people |
search_leads, search_companies |
per returned row |
resolve_profile |
per resolved profile — the cheapest call here; an unresolvable reference is free |
enrich_lead, enrich_company |
per record found; a miss is free |
generate_email |
per valid email; a miss is free |
validate_email |
per address submitted — every one, whatever the verdict |
find_phone |
per phone found — by far the most expensive operation |
start_bulk_job |
per record, and the worst case is reserved at submit time |
Do not hardcode prices. Call get_balance — it returns this account's real
per-operation rates. Every tool response carries a cost block with the API's own
meta.amount_charged; when you report spend to a human, quote that, never your
own arithmetic.
database vs realtime
Every search and enrich runs against a cached index (cheaper, sub-second, free
counts, core filters) or live LinkedIn (pricier, 5–60s, billable counts, every
filter). Leave mode on auto: it tries cheap first and escalates only when a
filter you passed does not exist in the cache — and tells you it did. If the
response contains escalated_to_realtime_because, mention it; the user paid more
than the cheap path would have cost.
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.
- 9d ago Changed · +13 lines fd4731f1946f
- 15d ago Changed be47b3768372
- 1mo ago Changed · +20 lines b7ea30d1686f
- 2mo ago First seen · 180 lines · 100 tokens per session scan A 9845ccaa6302
generect-lead-workflows is a skill published in the GitHub repository generect/generect_mcp (1 stars, last pushed 6d ago), licensed MIT. It adds 100 tokens to every session and 2,925 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
generect-lead-workflows compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| generect-lead-workflowsgenerect/generect_mcp | Skill | 1 | 6d ago | MIT | A | 100 | Claude Code, Codex |
| b2b-contact-finder-guidesaxelfreeman/b2b-contact-finder-guides | Skill | 2 | 1mo ago | MIT | A | 112 | Claude Code, Codex |
| b2b-sdr-agentiPythoning/b2b-sdr-hermes-skill | Skill | 44 | 2mo ago | MIT | A | 52 | Claude Code, Codex |
| reddit-leadslignertys/reddit-research-skills | Skill | 15 | 1mo ago | MIT | A | 71 | Claude Code |
| LinkedIn Automationclaude-office-skills/skills | Skill | 567 | 9mo ago | MIT | A | 19 | Claude Code, Codex |
| bigleadkobenfang/BigLead | Skill | 4 | 2mo ago | MIT | A | 141 | Claude Code, Codex |
| tapacaxelfreeman/tapac-mcp | Skill | 3 | 1mo ago | MIT | A | 97 | Claude Code, Codex |