data-crosscheck

data-crosscheck is a skill for Claude Code, Codex from danielgap/openclaw-planitor. It costs 34 tokens per session (641 once invoked), scanned A, original, MIT.

A Spanish-language workflow for checking business-plan numbers and concrete claims against outside sources.

In plain words
What is it for?
Use it to extract checkable claims, delegate research for verification, and produce a cross-check report with values, confidence levels, notes, and a summary.
Why use it?
It separates supported, refuted, partly supported, and unverifiable claims, making unsupported planning assumptions easier to spot.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to extract checkable claims, delegate research for verification, and produce a cross-check report with values, confidence levels, notes, and a summary.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielgap/openclaw-planitor/data-crosscheck
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.

Any agent
npx skills add danielgap/openclaw-planitor --skill data-crosscheck
Clone the repo
git clone --depth 1 https://github.com/danielgap/openclaw-planitor

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 data-crosscheck

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielgap/openclaw-planitor/data-crosscheck/github.svg)](https://agentmods.dev/skills/danielgap/openclaw-planitor/data-crosscheck)
Your own site
<a href="https://agentmods.dev/skills/danielgap/openclaw-planitor/data-crosscheck"><img src="https://agentmods.dev/badge/skills/danielgap/openclaw-planitor/data-crosscheck/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 data-crosscheck

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielgap/openclaw-planitor/data-crosscheck"><img src="https://agentmods.dev/badge/skills/danielgap/openclaw-planitor/data-crosscheck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 641 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.
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 $0.00034 $0.00641
Opus 5.5 $0.00014 $0.00256
Sonnet 5.5 $0.00007 $0.00128
Haiku 4.5 $0.00003 $0.00064

Measured 2mo ago against content hash 17a3618bf88f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-crosscheck 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 2mo 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.

skills/data-crosscheck/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Data Cross-Check

Descripción

Verifica datos específicos del plan de negocio contra fuentes externas. Delega a investigación web para confirmar o refutar cada dato. Se ejecuta en Fase 7 (JUDGE).

Proceso

  1. Leer el plan de negocio (plan-final.md o artefactos JSON)
  2. Extraer datos verificables (números, porcentajes, afirmaciones concretas)
  3. Para cada dato, delegar a investigación web: "Verifica este dato: X. Fuente original: plan de negocio."
  4. Generar CROSS-CHECK-REPORT.json con resultados

Formato de Salida

Archivo: projects/{proyecto}/v{n}/CROSS-CHECK-REPORT.json

{
  "project": "{proyecto-id}",
  "checked_at": "ISO date",
  "checks": [
    {
      "claim": "TAM de 150.000 personas en Palencia",
      "source_plan": "Sección 3.1",
      "verified": "true|false|partial|unverifiable",
      "actual_value": "148.000 (INE 2024)",
      "confidence": "high|medium|low",
      "notes": "..."
    }
  ],
  "summary": {
    "total": 10,
    "verified": 7,
    "refuted": 1,
    "partial": 2,
    "unverifiable": 0
  }
}

Cómo Delegar a investigación web

Usar delegar al modelo a investigación web:

Delega a investigación web:
"Verifica este dato: {claim}.
 Fuente original: plan de negocio, sección {source}.
 Busca fuentes independientes que confirmen o refuten el dato.
 Responde con: verified (true/false/partial), actual_value, confidence, notes."

Schema

El report sigue el schema en schemas/cross-check-report.schema.json.

Reglas

  • Solo verificar datos numéricos o hechos concretos (no opiniones ni proyecciones internas)
  • Máximo 20 checks por ejecución
  • Si un dato no se puede verificar, marcar como "unverifiable" (no "false")
  • Priorizar checks en: TAM/SAM/SOM, precios de mercado, costes, datos demográficos
  • Los datos de proyecciones internas (break-even, cash flow) NO se cross-checkean
  • Si más del 30% de datos son refutados → flag como issue crítico para JUDGE

Integración con Pipeline

  • Fase 7 (JUDGE): Ejecutar cross-check antes del judgment
  • JUDGE debe incluir CROSS-CHECK-REPORT.json en su evaluación
  • Si hay refutados → issue crítico, potencial vuelta a la fase origen

Read the full file on GitHub · 79 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. 2mo ago First seen · 79 lines · 34 tokens per session scan A 17a3618bf88f

Subscribe to this mod's changes

data-crosscheck is a skill published in the GitHub repository danielgap/openclaw-planitor (5 stars, last pushed 6mo ago), licensed MIT. It adds 34 tokens to every session and 641 once invoked, about $0.0001 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 2026-08-31.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

component-fixtures

Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.

microsoft/vscode · 53 tokens