answer-a-policy-question

answer-a-policy-question is a skill for Claude Code, Codex from akiotanaka847/qaio-desktop. It costs 61 tokens per session (1,630 once invoked), scanned A, original, MIT.

A people-policy question-answering tool for topics such as leave, remote work, equipment, and expenses. It answers from your written policy when the rule is clear and writes an escalation note when the policy does not settle the question.

In plain words
What is it for?
Use it to answer an employee's policy question or create reusable reply templates for a policy topic.
Why use it?
It helps you give consistent answers without guessing about rules or treating an unclear case as settled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to answer an employee's policy question or create reusable reply templates for a policy topic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akiotanaka847/qaio-desktop/answer-a-policy-question
Install

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.

Any agent
npx skills add akiotanaka847/qaio-desktop --skill answer-a-policy-question
Clone the repo
git clone --depth 1 https://github.com/akiotanaka847/qaio-desktop

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for answer-a-policy-question

README.md
[![agentmods](https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/answer-a-policy-question/github.svg)](https://agentmods.dev/skills/akiotanaka847/qaio-desktop/answer-a-policy-question)
Your own site
<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/answer-a-policy-question"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/answer-a-policy-question/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.

agentmods 80×15 button for answer-a-policy-question

Your own site · 80×15
<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/answer-a-policy-question"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/answer-a-policy-question.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,630 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.01630
Opus 5 $0.00030 $0.00815
Sonnet 5 $0.00012 $0.00326
Haiku 4.5 $0.00006 $0.00163

Measured 6d ago against content hash 87c0c82a2659, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

answer-a-policy-question 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 6d 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.

store/agents/people/.agents/skills/answer-a-policy-question/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Answer a Policy Question

When to use

  • Explicit: "does {employee} qualify for {PTO / leave / parental / bereavement / remote}", "can {employee} expense {X}", "what's our policy on {topic}", "is this covered".
  • Template variant: "draft the PTO (or {topic}) reply template", "give me reusable variants for {policy} asks" - produce all three reply paths (direct / ambiguous / escalation) for the named topic and save to approvals/{topic}-reply-template.md for reuse.
  • Implicit: routed from helpdesk-channel watcher (Slack listener, Gmail filter) when team member asks HR question.
  • Frequency: as often as team members ask. Classifier run every time.

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.

  • Docs (Google Docs, Notion) — read the handbook or policy doc when it lives outside this agent. Optional.
  • Inbox (Gmail) — match your reply voice. Optional.
  • Chat (Slack) — reply where the question came in. Optional.

This skill never sends without your sign-off, so no integration is strictly required — but a connected handbook keeps me from asking questions you've already answered.

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.

  • The question being asked — Required. Why I need it: I classify and answer the specific ask. If missing I ask: "What's the question, and who's asking?"
  • Policy canon — Required. Why I need it: every direct answer cites the relevant policy. If missing I ask: "Drop your current handbook or share a link to it, or run set-up-my-people-info first to capture the policies."
  • Escalation rules — Required. Why I need it: I never draft answers on discrimination, harassment, wage, or visa-law questions — I route them. If missing I ask: "Who do discrimination, harassment, wage-dispute, and visa questions route to. Is there a named lawyer, or should we mark it TBD until you have one?"
  • Jurisdiction — Optional. Why I need it: leave and benefits answers vary by state and country. If you don't have it I keep going with TBD and surface jurisdictional gaps in the draft.

Read the full file on GitHub · 131 lines

Changes

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.

  1. 6d ago First seen · 131 lines · 61 tokens per session scan A 87c0c82a2659

Subscribe to this mod's changes

answer-a-policy-question is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 61 tokens to every session and 1,630 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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