io.github.catherine-development/ives-yim

name:io.github.catherine-development/ives-yim

Read-only search of Catherine Ives-Yim's writing on AI, IoT and the CRA, and scoring of four checks.

transport:: remote
credential class:: open

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Tools

get_article
The full text of an article or site page by slug, with citation and source labels. About describes stated experience; Services describes the offering; articles describe published views. None is independent verification. Cite the address.
shallow
list_articles
Catherine Ives-Yim's published articles (slug, title, standfirst, theme, publication label, address, length), optionally filtered by theme or a word in the title. Free to call; no model involved.
shallow
list_assessments
The free questionnaire tools on the site and, for one of them, its full question set: modules, questions, answer anchors or options, and the conditions under which a question applies. Use this to put the questions to a user before calling score_assessment.
shallow
list_themes
The themes the articles are grouped under, with counts.
shallow
score_assessment
Runs the same deterministic rules engine the website uses for one of the assessments and returns the headline, module scores, flags and the plan. No model is involved: the result is computed from published rules, exactly as a visitor to the site would get. Answers: scale questions take 0 to 3 (worst to best anchor) or "dk" for don't know; single-choice questions take the option value; multi-select questions take an array of option values, e.g. {"CTX-markets": ["eu", "uk"]}. Unknown question ids or invalid values are rejected with an error listing them. Unanswered questions lower confidence rather than the score, and the result carries an "evidence" field: with no scored questions answered the headline is "Not enough answers", and below half confidence the headline is marked provisional. The result is a diagnostic to guide a conversation, not advice.
shallow
search_articles
Keyword search over the bundled writing and site pages. Accepts questions or keywords, excludes further-reading sections, and returns a best passage per source before additional passages. Includes citation and source labels. Read get_article before making broader claims. No model is involved; this is retrieval, not an answer or independent verification.
shallow

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