answer

answer is a skill for Claude Code, Codex from yujiachen-y/agent-bundle. It costs 11 tokens per session (78 once invoked), scanned A, original, MIT.

A small answering skill for handling user questions. It focuses on concise, accurate replies and asks for clarification when a question is unclear.

In plain words
What is it for?
Use it to answer questions briefly, state facts, and acknowledge uncertainty where needed.
Why use it?
It gives questions a consistent response process and reduces guesses when important details are missing.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/yujiachen-y/agent-bundle/answer
Any agent
npx skills add yujiachen-y/agent-bundle --skill answer
Clone the repo
git clone --depth 1 https://github.com/yujiachen-y/agent-bundle

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/yujiachen-y/agent-bundle/answer.svg)](https://agentmods.dev/skills/yujiachen-y/agent-bundle/answer)
Your own site
<a href="https://agentmods.dev/skills/yujiachen-y/agent-bundle/answer"><img src="https://agentmods.dev/badge/skills/yujiachen-y/agent-bundle/answer.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 78 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00011 $0.00078
Opus 5 $0.00005 $0.00039
Sonnet 5 $0.00002 $0.00016
Haiku 4.5 $0.00001 $0.00008

Measured 3d ago against content hash 7fa37a35752a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

answer 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 3d 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.

demo/observability-demo/skills/answer/SKILL.md · 19 lines

What it actually says

Answer

When asked a question:

  1. Read the question carefully.
  2. Provide a concise, accurate response.
  3. If the question is ambiguous, ask for clarification.

Rules:

  • Keep answers brief and to the point.
  • Use facts over assumptions.
  • Acknowledge uncertainty when appropriate.
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. 3d ago First seen · 19 lines · 11 tokens per session scan A 7fa37a35752a

Subscribe to this mod's changes

answer is a skill published in the GitHub repository yujiachen-y/agent-bundle (10 stars, last pushed 2mo ago), licensed MIT. It adds 11 tokens to every session and 78 once invoked, about $0.0001 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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