Skip to content
Agentmart
Submit a tool

ai-answerability-audit

Evidence-backed deterministic audit of whether common brand questions can be answered from crawled website content.

Skill by Ishu250412

IndexedApache-2.0
Write a review

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/ishu250412-ai-answerability-audit

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Evidence-backed deterministic audit of whether common brand questions can be answered from crawled website content.

Use cases: design, security, writing

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/ai-answerability-audit

What's inside

Skill name
ai-answerability-audit
Description
Evidence-backed deterministic audit of whether common brand questions can be answered from crawled website content.
License
Apache-2.0
Instructions
24 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (3)

  • SKILL.md
  • answerability_rules.md · references/
  • audit_answerability.py · scripts/

SKILL.md (first lines)

# AI Answerability Audit Skill

Evaluates a fixed set of high-value brand questions using only evidence observed in the audited site's crawled pages.

## Statuses
- `answerable`: sufficient direct evidence was observed.
- `partially_answerable`: some relevant evidence exists, but the answer signal is weak or incomplete.
- `not_answerable`: no reliable evidence was found.
- `conflicting`: multiple materially different signals were observed.

This is a deterministic, evidence-backed audit. It does not simulate an LLM and does not claim to measure actual model-answer accuracy.

## Questions
- What does this company do?
- What products or services does it offer?
- Who is it for?
- Where is it located?
- How can someone contact it?
- What does its primary offering cost?
- What differentiates the brand?

Every result includes a source URL and evidence. Missing information is never invented.

From Ishu250412/Brand--ai-readiness-audit, Apache-2.0.

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Sep 19, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Ishu250412

Cite this page

ai-answerability-audit skill. Agent Mart. https://agentmart.dev/skills/ishu250412-ai-answerability-audit (last updated 2026-10-24)