True Seeing
PassAudited by VirusTotal on May 2, 2026.
Overview
Type: OpenClaw Skill Name: true-seeing Version: 1.0.0 The 'true-seeing' skill bundle is a legitimate fact-checking tool designed to identify and verify factual claims in AI-generated text. The logic follows a transparent three-stage pipeline (Extract, Verify, Replace) with a mandatory user-approval step before any modifications are made to the original text. The use of sub-agents via 'sessions_spawn' is limited to parallelizing web searches, and the instructions include safety constraints such as batch limits (30 facts) and error handling for rate limits. No evidence of data exfiltration, malicious code execution, or harmful prompt injection was found.
Findings (0)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
The agent may make multiple web searches and fetch web pages while checking an article.
The skill directs the agent to use web search and web fetch tools, including parallel sub-agents, which is a meaningful tool-use capability. It is disclosed and directly aligned with the fact-checking purpose.
每个 sub-agent 执行 `web_search`，取前 3 条结果用 `web_fetch` 抓取内容。
Use it for articles where web-based verification is appropriate, and review the generated source links before accepting corrections.
Incorrect or misleading web pages could influence the suggested corrections.
The skill bases verification decisions on retrieved web snippets. This is expected for fact-checking, but web content can be wrong, stale, or adversarially written, so the cited evidence should not be blindly trusted.
`source_snippet` 必须包含足以证明分歧的关键句子
Check the cited URLs and snippets, especially for important legal, medical, financial, or reputational claims.
Private details from an article could be included in search queries or sub-agent tasks during verification.
The skill sends fact-checking work to parallel sub-agents. This is disclosed and bounded, but it means article-derived factual claims may be distributed across agent sessions and external search/fetch operations.
使用 `sessions_spawn` 启动 sub-agent 并行搜索
Avoid using it on confidential unpublished drafts unless you are comfortable with article facts being used in web searches.