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 check-my-salesgit 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/check-my-sales)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/check-my-sales"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/check-my-sales/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/check-my-sales"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/check-my-sales.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 | $0.00077 | $0.01689 |
| Opus 5 | $0.00039 | $0.00844 |
| Sonnet 5 | $0.00015 | $0.00338 |
| Haiku 4.5 | $0.00008 | $0.00169 |
Grade A, and why
check-my-sales 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 7d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check My Sales
One skill, five analysis surfaces. subject param picks scope. "Next moves over dashboards" discipline shared.
Parameter: subject
sales-health- Monday readout. Aggregate every skill output across last week fromoutputs.json. Group by domain (Playbook, Outbound, Inbound, Meetings, CRM, Retention). Flag stalled work + missed followups + slippage.call-insights- cross-N-call synthesis: pain language, objection frequency, win/loss patterns - with concrete playbook-edit suggestions.win-loss- cluster closed-won + closed-lost deals by reason. Find 3 repeating patterns. Propose playbook edits (ideal-customer tightening, objection handbook additions, pricing adjustments).discovery-call- single-call deep read: talk-ratio (target 40% rep / 60% prospect), pain score, qual gaps vs playbook framework, risks / opportunities, draft followup.pipeline- snapshot by stage + annual revenue + deal velocity + leakiest transition. Anchors weekly forecast.
User ask names subject plain English ("sales review", "mine calls", "win-loss", "how did that call go", "pipeline check") → infer. Else ask ONE question naming 5 options.
When to use
- Explicit triggers in description.
- Implicit:
capture-my-call-noteschains intocheck-my-sales subject=discovery-callto complete post-call loop. Weekly routine "Monday sales review" firessubject=sales-health.run-my-forecastchains intosubject=pipelinefor narrative layer.
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.
- Meetings - pull call transcripts for
discovery-callandcall-insights. Required for those subjects. - CRM - pull closed-won/lost deals for
win-lossand open-deal snapshot forpipeline. Required for those subjects.
If none of the required categories are connected I stop and ask you to connect your call recorder first (Gong or Fireflies) since most asks land on call-driven subjects.
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.
- 7d ago First seen · 77 lines · 77 tokens per session scan A 0540e8edd1e9
check-my-sales is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 77 tokens to every session and 1,689 once invoked, about $0.0004 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 2026-09-05.
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