agent-report-annotation
Skill3 starsChanged 7 months agoNo licenceView on GitHub
Annotate AI-assisted reports with authority tiers to signal which claims are the human author's own positions vs. agent-generated analysis. Use this skill whenever the user wants to add credibility annotations to a report, document, or analysis that was co-authored with an AI agent. Also trigger when the user mentions "authority tiers", "claim annotation", "who wrote what", "author vs AI", "human vs agent claims", "confidence tags", "annotation system", "signal my involvement", "which parts did I write", or wants to distinguish their own expertise from AI-generated analysis in any document. Use this even if the user just says something like "I want to show which parts are mine" or "add credibility markers" or "tag the claims".
In this repository14 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 10 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈10
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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