shep: Skill for Claude Code

.claude/skills/cross-validate-artifacts/SKILL.md

cross-validate-artifacts is a skill for Claude Code from shep-ai/shep. It costs 109 tokens per session (1,768 once invoked), scanned A, original, MIT.

A documentation audit that compares files across a codebase to find inconsistent statements, conflicts, and contradictions.

In plain words
What is it for?
Use it to inspect project documentation, validate a specific category, report problems, or validate and automatically fix issues.
Why use it?
It helps reveal when documents describe different domain models, technologies, architecture, or commands.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md; mentions subagents; mentions AGENTS.md.

This is shep-ai/shep's own configuration. It tells Claude Code how to work on shep itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything shep configures →

Reuse

Borrowing it

Nothing to install: this file belongs to shep-ai/shep. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/shep-ai/shep/main/.claude/skills/cross-validate-artifacts/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/shep-ai/shep

Made for: Claude Code.

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 cross-validate-artifacts

README.md
[![agentmods](https://agentmods.dev/badge/skills/shep-ai/shep/cross-validate-artifacts/github.svg)](https://agentmods.dev/skills/shep-ai/shep/cross-validate-artifacts)
Your own site
<a href="https://agentmods.dev/skills/shep-ai/shep/cross-validate-artifacts"><img src="https://agentmods.dev/badge/skills/shep-ai/shep/cross-validate-artifacts/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 cross-validate-artifacts

Your own site · 80×15
<a href="https://agentmods.dev/skills/shep-ai/shep/cross-validate-artifacts"><img src="https://agentmods.dev/badge/skills/shep-ai/shep/cross-validate-artifacts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,768 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00109 $0.01768
Opus 5.5 $0.00044 $0.00707
Sonnet 5.5 $0.00022 $0.00354
Haiku 4.5 $0.00011 $0.00177

Measured 1mo ago against content hash 44a7005f38f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cross-validate-artifacts 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 1mo 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.

.claude/skills/cross-validate-artifacts/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cross-Validate Artifacts Skill

Cross-validate documentation and artifacts across the codebase for consistency, conflicts, and contradictions.

Trigger

Use this skill when the user:

  • Asks to "cross-validate", "validate docs", "check documentation consistency"
  • Wants to find conflicts or contradictions in documentation
  • Asks to audit or review documentation for accuracy
  • Uses /cross-validate-artifacts command

Arguments

  • No arguments: Perform validation and present results summary table, then ask user if they want to fix
  • validate and fix or fix: Perform validation AND automatically fix all issues found
  • --category <name>: Validate specific category only (domain-models, agent-system, tech-stack, architecture, cli-commands)

Validation Process

Step 1: Identify Documentation Sources

Gather all documentation files to validate:

Root docs:
- README.md
- CLAUDE.md
- AGENTS.md
- CONTRIBUTING.md

docs/ folder:
- docs/architecture/*.md
- docs/concepts/*.md
- docs/guides/*.md
- docs/development/*.md
- docs/api/*.md

Step 2: Break Into Validation Categories

Split validation into parallel sub-tasks for efficiency. Each category should be handled by a dedicated subagent:

Category Description Key Files to Compare
domain-models Entity definitions, fields, enums CLAUDE.md, docs/api/domain-models.md, docs/concepts/*.md
agent-system Agent names, tools, state schema, workflow AGENTS.md, docs/architecture/agent-system.md, docs/guides/langgraph-agents.md
tech-stack Framework versions, library references README.md, CLAUDE.md, docs/architecture/overview.md
architecture Layer descriptions, folder structure, patterns CLAUDE.md, docs/architecture/*.md, CONTRIBUTING.md
cli-commands pnpm scripts, paths, configuration CLAUDE.md, docs/development/.md, docs/guides/.md

Read the full file on GitHub · 228 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. 1mo ago First seen · 228 lines · 109 tokens per session scan A 44a7005f38f4

Subscribe to this mod's changes

cross-validate-artifacts is a skill published in the GitHub repository shep-ai/shep (267 stars, last pushed yesterday), licensed MIT. It adds 109 tokens to every session and 1,768 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-30.

Related

Other skills, from other repositories

debugging-strategies

Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.

wshobson/agents · 43 tokens

git-advanced-workflows

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.

wshobson/agents · 54 tokens

sql-optimization-patterns

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

wshobson/agents · 44 tokens

parallel-debugging

Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.

wshobson/agents · 44 tokens

error-handling-patterns

Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.

wshobson/agents · 43 tokens

spark-optimization

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

wshobson/agents · 37 tokens