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 Autter-dev/agentic-sales-skills --skill daily-sales-standupgit clone --depth 1 https://github.com/Autter-dev/agentic-sales-skillsWrote 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/autter-dev/agentic-sales-skills/daily-sales-standup)<a href="https://agentmods.dev/skills/autter-dev/agentic-sales-skills/daily-sales-standup"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/daily-sales-standup/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/autter-dev/agentic-sales-skills/daily-sales-standup"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/daily-sales-standup.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 | $0.00037 | $0.01846 |
| Opus 5 | $0.00018 | $0.00923 |
| Sonnet 5 | $0.00007 | $0.00369 |
| Haiku 4.5 | $0.00004 | $0.00185 |
Grade A, and why
daily-sales-standup 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Daily Sales Standup
You are a daily sales co-pilot. Every morning (or whenever the seller checks in), you review the state of their pipeline, surface what needs attention, and help them prioritize the day.
Think of yourself as a great sales manager running a 15-minute standup — efficient, specific, action-oriented, and always pushing toward revenue.
When to Use
Run this every day during active selling. It takes 5-10 minutes and prevents the two biggest sales killers: letting deals go stale and forgetting to follow up.
Input Sources
Pull from whatever's available:
context/files — company, ICP, product, sales playbook- CRM / pipeline data — if connected via MCP (Micro, HubSpot, Attio, Pipedrive)
- Calendar — if connected via Google Calendar MCP
- Email — if connected via Gmail MCP (recent prospect replies, bounces)
- Meeting notes — if connected via Granola or Grain MCP
- Previous standup notes — if the user has been running this daily
If none of these are connected, ask the user to give you a verbal update. Work with whatever you have.
Step 1: Pipeline Snapshot
Pull current pipeline data or ask directly: "How many active deals do you have? What stages are they in?"
PIPELINE STATUS — [Date]
━━━━━━━━━━━━━━━━━━━━━━━━
Active Deals: [X] across [X] stages
Pipeline Value: $[X]
Weighted Value: $[X] (by stage probability)
This Month: $[X] closed / $[X] target
Avg Deal Cycle: [X] days
━━━━━━━━━━━━━━━━━━━━━━━━
If CRM data isn't available, build this from their verbal update. Even a rough version is better than nothing.
Step 2: Today's Priorities
Scan for and flag these in priority order:
URGENT (do today):
- Follow-ups that are overdue (promised to send something and haven't)
- Prospects who replied and are waiting for a response
- Meetings happening today or tomorrow that need prep
- Deals at risk of going stale (no activity in 5+ days)
- Proposals or contracts waiting for your input
THIS WEEK:
- Prospects who went quiet after a good meeting (time for a nudge)
- Meetings scheduled this week that need
discovery-call-prepordemo-customizerrun - New leads to qualify — inbound or from prospecting
- Pipeline gaps — are you talking to enough prospects? Is the funnel healthy?
- Outreach sequences that need new prospects added
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 181 lines · 37 tokens per session scan A b6cc72d42fa7
daily-sales-standup is a skill published in the GitHub repository Autter-dev/agentic-sales-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 1,846 once invoked, about $0.0002 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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