freshness-corroboration
Checks recency and consistency of brand data across the web.
Skill by yuvraj1235
Chalk Labs
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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/yuvraj1235-freshness-corroboration
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.
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About
Use cases: design, data
Reviews
Write a reviewNo 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
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/freshness-corroboration
What's inside
- Skill name
freshness-corroboration- Description
- Checks recency and consistency of brand data across the web.
- License
- MIT
- Instructions
- 17 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (3)
- SKILL.md
- index.js · scripts/
- package.json · scripts/
SKILL.md (first lines)
# freshness-corroboration ## When to use Use this skill to verify that the brand's core facts, pricing, and messaging are up-to-date and consistent across different sources, ensuring AI agents don't hallucinate outdated information. ## Inputs - `site` (string): An HTTP(S) URL or domain for a public website. ## Procedure 1. Extract key entities and factual claims from the target site. 2. Compare entities and claims across the bounded first-party page snapshot; use external sources only when an explicitly configured provider is available. 3. Identify discrepancies, outdated information, or conflicting claims. ## Output Returns evidence-backed findings and states limitations rather than inventing external corroboration.
From yuvraj1235/Adobe, MIT.
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Evaluates how conversational AIs interact with and cite brand content.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 13, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/yuvraj1235/Adobe
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from yuvraj1235
- 0.523score
audit-orchestrator
yuvraj1235
Orchestrates the brand AI readiness audit and aggregates findings from specialized skills.
SkillBFreshness: BClaude Code +9 - 0.518score
crawl-render-audit
yuvraj1235
Analyzes site renderability and discoverability for LLM web crawlers.
SkillBFreshness: BClaude Code +9 - 0.518score
engagement-audit
yuvraj1235
Evaluates how conversational AIs interact with and cite brand content.
SkillBFreshness: BClaude Code +9
Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
freshness-corroboration skill. Agent Mart. https://agentmart.dev/skills/yuvraj1235-freshness-corroboration (last updated 2026-10-24)