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 research-an-accountgit 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/research-an-account)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/research-an-account"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/research-an-account/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/research-an-account"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/research-an-account.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 | $0.00074 | $0.01723 |
| Opus 5 | $0.00037 | $0.00861 |
| Sonnet 5 | $0.00015 | $0.00345 |
| Haiku 4.5 | $0.00007 | $0.00172 |
Grade A, and why
research-an-account 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research An Account
One skill, four research shapes. depth param pick pass. Source-citation + "never invent fact" discipline shared.
Parameter: depth
quick-qualify- 30-sec read of single URL. One scrape, one decision (GOOD-FIT / BORDER / OUT), one angle if GOOD-FIT. Fast triage, not brief.full-brief- multi-pass cited brief on named account: site scrape, recent news (12 weeks), tech-stack detect, social scan, intent signals. Feeds outreach + call prep.enrich-contact- named person: firmographics, role context, reporting line if discoverable, recent posts/talks, trigger signals. For outreach personalization.warm-paths- first-degree intros: search connected LinkedIn/Gmail/CRM for people who know someone at target. Rank paths by strength.
User ask imply depth ("quick read", "go deep", "enrich this person", "who do I know there") → infer. Else ask ONE question naming 4 options.
When to use
- Explicit triggers in description.
- Implicit: inside
write-my-outreach stage=cold-email(cold email need signal - this skill find it) andprep-a-meeting type=call(call need brief).
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.
- Scrape - read the company's site, product pages, tech-stack signals. Required for
quick-qualifyandfull-brief. - Search / research - pull recent news, funding, hires for
full-briefandenrich-contact. Required for those depths. - Social - read public LinkedIn profile and posts for
enrich-contactandwarm-paths. Required for those depths. - CRM - cross-reference first-degree connections and prior touches for
warm-paths. Required for that depth. - Inbox - cross-reference who you've emailed at the target for
warm-paths. Optional.
If none of the required categories for the chosen depth are connected I stop and ask you to connect Firecrawl first since most depths build off the site read.
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 · 81 lines · 74 tokens per session scan A e53e2ebf1f5f
research-an-account is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 74 tokens to every session and 1,723 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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