freshness-corroboration
Specialist skill assessing time-sensitive fact freshness, internal conflicts (e.g.
Skill by Adamkoda2306
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/adamkoda2306-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: testing, security
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
- Python 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
- Specialist skill assessing time-sensitive fact freshness, internal conflicts (e.g. differing prices for the same-titled page), and organization/entity name consistency across a site, using only first-party evidence gathered during the audit. Used by audit-orchestrator; independently runnable for testing.
- License
- MIT
- Instructions
- 24 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (3)
- SKILL.md
- methodology.md · references/
- freshness_audit.py · scripts/
SKILL.md (first lines)
# freshness-corroboration ## Purpose Assesses whether time-sensitive facts can actually be trusted as current, and whether the site represents itself as a single consistent entity. Never uses "no date = stale" logic; only flags staleness/conflict when there is direct observed evidence within the crawled data. ## Checks Explicit date-signal presence (informational limitation, not a defect, when entirely absent), organization-name consistency across structured data, and same-titled pages showing conflicting visible prices. See `references/methodology.md`. ## Usage ```bash python scripts/freshness_audit.py https://example.com # standalone/dev mode ``` ## Safety Uses only first-party evidence collected during this audit. Never fabricates external corroboration.
From Adamkoda2306/Brand-AI-Readiness-Audit, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 12, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Adamkoda2306
- 0.525score
audit-orchestrator
Adamkoda2306
Single entrypoint for the Brand AI Readiness Audit marketplace.
SkillBFreshness: BClaude Code +9 - 0.525score
engagement-audit
Adamkoda2306
Specialist skill assessing on-site visitor engagement — orientation cues, navigation depth and breadcrumb context, and journey-continuation affordances…
SkillBFreshness: BClaude Code +9 - 0.522score
content-structure-audit
Adamkoda2306
Specialist skill assessing machine-readable content quality — semantic HTML (title/H1), JSON-LD/schema.org structured data presence, validity, and alignment…
SkillBFreshness: BClaude Code +9 - 0.522score
crawl-render-audit
Adamkoda2306
Specialist skill assessing whether a website is machine-crawlable — HTTP status, robots.txt directives, sitemap coverage, redirect chains, canonical…
SkillBFreshness: BClaude Code +9
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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/adamkoda2306-freshness-corroboration (last updated 2026-10-24)