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 leadbay/mcp --skill leadbay_daily_check_ingit clone --depth 1 https://github.com/leadbay/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/leadbay/mcp/leadbay_daily_check_in)<a href="https://agentmods.dev/skills/leadbay/mcp/leadbay_daily_check_in"><img src="https://agentmods.dev/badge/skills/leadbay/mcp/leadbay_daily_check_in.svg" alt="Measured on agentmods" 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 | $0.00097 | $0.05609 |
| Opus 5 | $0.00048 | $0.02805 |
| Sonnet 5 | $0.00019 | $0.01122 |
| Haiku 4.5 | $0.00010 | $0.00561 |
Grade A, and why
leadbay_daily_check_in 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 4d 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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WHAT LEADBAY SHOULD REMEMBER
You keep your own memory of how this user likes to work — tone, naming, formatting, what they ask you to skip. Leadbay does not store that and does not need to.
What Leadbay does need is anything that changes who it should find. When the user states targeting criteria in conversation ("I target fleets over 100 vehicles", "carriers are a bad fit unless they do last-mile delivery", "climate engineering is also my market"), call leadbay_refine_prompt so it changes what Leadbay surfaces for the whole org and on every future refresh — not just this conversation. When they say a specific lead is wrong for them, record the dislike rather than noting it.
Run the Leadbay daily check-in for me. Treat this prompt the same way for any equivalent ask focused on NEW leads from the Discover wishlist: "get me leadbay leads", "best NEW leads to prospect today", "what's new today", "show me my batch", "let's prospect", "run my morning check-in", "my daily routine", "I do this every day", "every morning". For follow-up phrasings ("what should I follow up on", "leads I've already worked", "before my trip"), this is the wrong prompt — route to leadbay_followup_check_in instead. Recurrence language ("I do this every day", "every morning", "my routine") always means this prompt — it is a daily batch check-in, not a follow-up. If the user's intent is ambiguous ("what should I work on?"), ASK once before picking an entry point.
Resilience rules for Leadbay long-running tools
These four rules apply to every Leadbay workflow that calls leadbay_pull_leads, leadbay_bulk_qualify_leads, leadbay_research_lead_by_id, leadbay_import_and_qualify, or leadbay_enrich_titles. Treat timeouts and stream-closed errors as transient, not as signals to replan.
Rule 1 — Pin the lens
After your first leadbay_pull_leads call, capture response.lens.id into your working memory and pass it explicitly as the lensId argument to every subsequent call in this session — including any re-pulls, bulk qualifies, or research calls that accept it. (Field-name caveat: the response nests it as lens.id; the parameter on subsequent calls is lensId.) The active lens can shift between calls (5-minute client cache + backend last_requested_lens can change if the user touches the web UI). A lens shift mid-workflow throws away your top-10 work.
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.
- 4d ago Changed · +2 lines 047bab472d0f
- 8d ago First seen · 212 lines · 97 tokens per session scan A d9d9088704e3
leadbay_daily_check_in is a skill published in the GitHub repository leadbay/mcp (0 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 5,609 once invoked, about $0.0005 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 2026-08-31.
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