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marianachow0321

Fact Cross Check

by marianachow0321 · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ Security Clean
172
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Install in OpenClaw
/install fact-cross-check
Description
Multi-source verification with confidence ratings. Use for verifying factual claims, finding examples and verifying they match criteria, statistics, or resea...
README (SKILL.md)

\r \r

Cross Check\r

\r Multi-source verification for factual claims with confidence scoring and source links.\r \r

Workflow\r

\r

  1. Optimize query — see {baseDir}/references/query-optimization.md.\r
  2. Search first (REQUIRED) — ALWAYS use web_search as the primary tool. Never skip to web_fetch directly. Run web_search(query, count=10). If T1 found, stop. If only T2-3, run a second query. If contradictions, investigate.\r
  3. Evaluate sources — classify by tier. See {baseDir}/references/source-tiers.md.\r
  4. Direct verify (optional, only after search) — use web_fetch(url) only to verify specific URLs found via search. Never use web_fetch as a substitute for web_search.\r
  5. Present — MUST include clickable source URLs for every result:\r

    [Answer]\r Confidence: [T1-T5] ([%]) | Sources: name, ... | Verified: [date] | Note: [caveats]\r \r

Source URLs\r

\r CRITICAL: Every cited source MUST include a direct clickable URL. If URL unavailable: T1 → find alternative source, T2+ → downgrade one tier. Never list a source without its URL.\r \r

Error Handling\r

\r

  • Zero results → broaden query, retry once. Still empty → T1 confidence.\r
  • web_fetch fails → skip, note it, drop confidence one level.\r
  • All T4 sources → report T2, mark Uncertain.\r
  • Contradictions → see {baseDir}/references/research-patterns.md.\r \r

Security & Privacy\r

\r This skill uses only OpenClaw's built-in web_search and web_fetch tools. No data is sent to external services beyond what these tools do.\r \r External Endpoints:\r

  • Web search API (via OpenClaw's built-in web_search, provider depends on user config)\r
  • Web pages (via OpenClaw's web_fetch for verification)\r \r Data Handling:\r
  • No credentials required\r
  • No data stored locally\r
  • Search queries sent through OpenClaw's configured search provider\r
  • No autonomous invocation without user intent - activates when queries contain verification language\r \r Trust Statement:\r By using this skill, your search queries are sent through OpenClaw's built-in web search provider. Only install if you trust OpenClaw's data handling practices.\r
Usage Guidance
This skill is internally consistent and asks for nothing beyond the platform's built-in web_search and web_fetch. Before installing, consider: (1) search queries will be sent to whatever search provider your OpenClaw instance is configured to use — do you trust that provider with the queries you may send? (2) The skill's confidence scoring is heuristic (tier-based) — treat outputs as guidance, not authoritative proof; inspect the provided source URLs yourself. (3) Although the SKILL.md says it activates only on verification-language queries, the platform's default allows autonomous invocation; if you are concerned about any skill running without an explicit prompt, review platform-level settings for autonomous skill invocation. Otherwise, the skill presents no disproportionate permissions or surprising behavior.
Capability Analysis
Type: OpenClaw Skill Name: fact-cross-check Version: 1.0.3 The skill bundle provides a structured framework for an AI agent to perform fact-checking and multi-source verification. It utilizes built-in OpenClaw tools (web_search and web_fetch) and contains no evidence of malicious intent, data exfiltration, or unauthorized execution logic across its files (SKILL.md, README.md, and the references directory).
Capability Assessment
✓ Purpose & Capability
Name/description (multi-source verification) aligns with the instructions: it requires web_search and web_fetch (platform tools) and the included reference docs support the workflow. No unrelated credentials, binaries, or installs are requested.
✓ Instruction Scope
SKILL.md gives a constrained workflow: optimize query, run web_search first, use web_fetch only to verify specific URLs, classify sources, and present clickable URLs. It does not instruct reading local files, exfiltrating secrets, or contacting external endpoints beyond the platform's web tools. The included references only contain query and research guidance.
✓ Install Mechanism
No install spec and no code files — instruction-only. Nothing is downloaded or written to disk by the skill itself.
✓ Credentials
No environment variables, credentials, or config paths are required. Declared data handling matches the skill's needs (search queries via platform provider).
ℹ Persistence & Privilege
Skill does not request always:true or other elevated privileges. The SKILL.md states it won't autonomously invoke except on user intent, but the registry flags show normal autonomous-invocation capability (disable-model-invocation: false), which is the platform default. This is expected but worth noting: the platform could invoke it autonomously according to platform rules.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install fact-cross-check
  3. After installation, invoke the skill by name or use /fact-cross-check
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Force web_search first, enforce source URLs with example
v1.0.1
Fix autonomous invocation wording inconsistency
v1.0.0
Initial release
Metadata
Slug fact-cross-check
Version 1.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is Fact Cross Check?

Multi-source verification with confidence ratings. Use for verifying factual claims, finding examples and verifying they match criteria, statistics, or resea... It is an AI Agent Skill for Claude Code / OpenClaw, with 172 downloads so far.

How do I install Fact Cross Check?

Run "/install fact-cross-check" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Fact Cross Check free?

Yes, Fact Cross Check is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Fact Cross Check support?

Fact Cross Check is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Fact Cross Check?

It is built and maintained by marianachow0321 (@marianachow0321); the current version is v1.0.3.

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