Evidence Auditor
CheckedThe Evidence Auditor analyzes provided text to identify potential inconsistencies or gaps in supporting evidence, boosting reliability and accuracy.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add willoscar/research-units-pipeline-skills --skill evidence-auditor -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
willoscar
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned willoscar/research-units-pipeline-skills at f53f82f8d7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f53f82f8d7
- Scanned
- 2 files, 462 lines
About this skill
What it does
The evidence-auditor skill analyzes provided text and assesses the strength of supporting evidence for claims. It identifies potential weaknesses in arguments, evaluates source credibility, and flags unsupported statements. This allows users to critically evaluate information and strengthen their own reasoning or research.
When to use it
- Research Paper Review: Evaluate a draft paper's claims against its cited sources to ensure accuracy and validity.
- Legal Document Analysis: Scrutinize legal arguments for logical fallacies and unsupported assertions.
- News Article Fact-Checking: Assess the evidence presented in news articles and identify potential biases or misleading information.
- Debate Preparation: Strengthen your own arguments by identifying weaknesses in opposing viewpoints and finding supporting evidence.
Key capabilities
- Evidence strength assessment
- Source credibility evaluation
- Identification of unsupported statements
- Weakness detection in arguments
Example prompts
- "Analyze this paragraph and tell me if the claims are adequately supported: [paragraph text]"
- "Evaluate the evidence presented in this article regarding climate change: [article URL]"
- “Assess the credibility of sources cited in this document: [document text]”
Tips & gotchas
The quality of the audit depends heavily on the clarity and completeness of the provided source material. Complex or nuanced arguments may require additional context for accurate assessment.