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 akiotanaka847/qaio-desktop --skill mine-my-sales-callsgit clone --depth 1 https://github.com/akiotanaka847/qaio-desktopWrote 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/akiotanaka847/qaio-desktop/mine-my-sales-calls)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/mine-my-sales-calls"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/mine-my-sales-calls/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/akiotanaka847/qaio-desktop/mine-my-sales-calls"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/mine-my-sales-calls.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 | $0.00064 | $0.01465 |
| Opus 5 | $0.00032 | $0.00732 |
| Sonnet 5 | $0.00013 | $0.00293 |
| Haiku 4.5 | $0.00006 | $0.00146 |
Grade A, and why
mine-my-sales-calls 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 12d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mine My Sales Calls
Pull the exact words your customers use from your sales call recordings. I extract verbatim pain phrases, objection patterns, and positioning signals. Highest-leverage research input I have - verbatim customer language beats any marketer paraphrase.
When to use
- "mine my sales calls" / "what are customers saying" / "extract objections from my calls".
- "pull positioning signals from last week's calls".
- Called implicitly by
set-up-my-marketing-info(when pushing for verbatim quotes) andprofile-my-customer(when building pains / objections sections).
Connections I need
I run external work through Composio. Before this skill runs I check that the categories below are linked. Missing -> I name the category, ask you to connect it from the Integrations tab, stop.
- Meeting notes (Gong, Fireflies, Fathom, Circleback) - pull recent call transcripts. Required (or you paste transcripts directly).
If no meeting-notes app is connected and you can't paste transcripts I stop and ask you to connect Gong, Fireflies, or Fathom from the Integrations tab.
Information I need
I read your marketing context first. For every required field that's missing I ask ONE plain-language question (best modality: connected app > file drop > URL > paste) and wait.
- Your positioning - Required. Why I need it: I anchor the mining against your current claims so I can flag where customers contradict them. If missing I ask: "Want me to draft your positioning first? It's one action, takes about five minutes."
- Which calls to mine - Required. Why I need it: I won't pull your entire history blindly. If missing I ask: "Which batch should I pull, the last five calls, the last ten, a date range, or one specific account?"
- Pasted transcripts - Required only if no meeting-notes app is connected. If missing I ask: "Drop one to three call recordings or paste the transcripts you want me to read."
Steps
- Read positioning doc (own file):
context/marketing-context.md. Anchor mining - look for quotes that support, update, or contradict current claims.
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.
- 12d ago First seen · 100 lines · 64 tokens per session scan A da986c2cf22e
mine-my-sales-calls is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 64 tokens to every session and 1,465 once invoked, about $0.0003 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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