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 calibrate-my-voicegit 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/calibrate-my-voice)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/calibrate-my-voice"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/calibrate-my-voice/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/calibrate-my-voice"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/calibrate-my-voice.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 | $0.00052 | $0.01372 |
| Opus 5 | $0.00026 | $0.00686 |
| Sonnet 5 | $0.00010 | $0.00274 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
calibrate-my-voice 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Calibrate My Voice
Offers, rejections, team announcements, performance improvement plans (PIPs), stay conversations - every skill this agent drafts against your voice. Skill samples how you actually write HR comms, writes tone fingerprint into context/people-context.md that every downstream draft references.
When to use
- "calibrate my HR voice" / "sample my past offers" / "learn how I write for HR comms".
- "refresh voice notes in people-context doc".
- Called implicitly by
set-up-my-people-infowhen voice-notes section thin or stale.
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.
- Inbox (Gmail, Outlook) — sample your past HR-adjacent sent messages. Required when you want me to pull samples.
If no inbox is connected I ask once whether to sample from a connected inbox or take three to five pasted samples instead.
Information I need
I read your people 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.
- Voice samples — Required. Why I need it: every fingerprint bullet traces to real samples. If missing I ask: "Connect your inbox so I can pull 10 to 20 recent HR messages, or paste three to five samples here."
- Sample scope — Optional. Why I need it: lets me filter to candidate or team comms. If you don't have it I keep going with the broadest HR-adjacent set I can find.
- Hard-news samples — Optional. Why I need it: rejections and PIP intros register differently from celebratory notes. If you don't have it I keep going with TBD on the hard-news fingerprint.
Steps
- Read people-context doc (own file):
context/people-context.md. Read existing voice-notes section so run = append/merge, not overwrite. If doc missing, runset-up-my-people-infofirst.
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 · 97 lines · 52 tokens per session scan A 4b0791bf9e61
calibrate-my-voice is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 52 tokens to every session and 1,372 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 2026-09-05.
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