{"$schema":"https://verifymcp.io/schemas/trust-report.json","schemaVersion":1,"license":{"name":"CC BY-NC 4.0","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"generatedAt":"2026-11-06T10:46:15.881Z","url":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp","markdownUrl":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp.md","server":{"slug":"lluvr-frame-check","name":"io.github.lluvr/frame-check","registryName":"io.github.lluvr/frame-check","description":"Deterministic structural framing analysis for AI-generated documents; no LLM call of its own.","registryStatus":"active","deletedAt":null,"statusMessage":null,"liveness":"live","publisher":{"class":"unknown","claimed":false}},"component":{"slug":"frame-check-mcp","type":"pypi","identifier":"frame-check-mcp","withdrawn":false,"url":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp","version":"1.2.1","transport":"stdio","scoredAt":"2026-11-06T08:12:44.293Z"},"score":{"total":80,"tier":"high trust","status":"scored","weekDelta":null,"history":[{"date":"2026-11-06","total":80},{"date":"2026-11-05","total":65}]},"categories":[{"name":"Supply Chain Security","score":100,"verdict":"pass","reasons":["No malware found by supply-chain analysis.","No known CVEs affecting this package version or its production dependencies.","No install/post-install scripts declared.","0 of 1 dependencies flagged as unhealthy."],"codes":[{"code":"supplychain.malware_clean","args":{}},{"code":"cve.none","args":{}},{"code":"installscript.none","args":{}},{"code":"dephealth.assessed","args":{"deps":"1","unhealthy":"0"}}]},{"name":"Provenance & Transparency","score":100,"verdict":"pass","reasons":["Source repository is publicly reachable at the declared URL.","Cryptographically verified build provenance (signed, bound to lluvr/frame-check).","Clear OSI-approved license (Apache-2.0).","Actively maintained (last published 0 days ago).","Publishes a security disclosure policy (SECURITY.md)."],"codes":[{"code":"provenance.repo_verified","args":{}},{"code":"provenance.verified","args":{"repo":"lluvr/frame-check"}},{"code":"license.osi","args":{"spdx":"Apache-2.0"}},{"code":"maintenance.recent","args":{"age_days":"0"}},{"code":"disclosure.present","args":{}}]},{"name":"Schema Quality & AI Usability","score":87,"verdict":"fail","reasons":["100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).","AI-judged instruction clarity (excellent).","Tool/resource definitions use about 8519 tokens (~83/item across 102 items; 2 tools + 100 resources), lean.","Usage-examples check failed: none of the tools include examples."],"codes":[{"code":"schema.descriptions","args":{"pct":"100"}},{"code":"schema.ai_quality","args":{"band":"excellent"}},{"code":"schema.footprint_lean","args":{"avg":"83","items":"102","tools":"2","tokens":"8519","resources":"100"}},{"code":"schema.examples_absent","args":{}}]},{"name":"Stability & Change Management","score":0,"verdict":"unverified","reasons":["Stability not yet verified: not enough scan history yet (needs a 30-day window)."],"codes":[{"code":"stability.insufficient_history","args":{}}]},{"name":"Tool Coverage","score":100,"verdict":"pass","reasons":["100% of tools have a non-trivial description (not blank, and not just the tool's name).","100% of tool parameters carry a description."],"codes":[{"code":"toolquality.descriptions","args":{"pct":"100"}},{"code":"toolquality.param_docs","args":{"pct":"100"}}]},{"name":"Tool Safety","score":100,"verdict":"pass","reasons":["No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.","We read all 2 captured tool definition(s), and no name or description among them implies an irreversible operation.","An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it."],"codes":[{"code":"toolsafety.injection_clean","args":{}},{"code":"toolsafety.destructive_none","args":{"tools":"2"}},{"code":"toolsafety.manipulation_clean","args":{"units":"4","judged":"4"}}]},{"name":"Capabilities","score":20,"verdict":"fail","reasons":["Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28."],"codes":[{"code":"protocol.outdated","args":{"latest":"2026-07-28","version":"2024-11-05"}}]}],"inconclusive":["Stability not yet verified: not enough scan history yet (needs a 30-day window)."],"malware":[],"components":[{"slug":"frame-check-mcp","type":"pypi","identifier":"frame-check-mcp","withdrawn":false,"score":80,"current":true,"url":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp","markdownUrl":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp.md"}],"facts":[{"label":"Registry","value":"pypi"},{"label":"Package","value":"frame-check-mcp"},{"label":"Version","value":"1.2.1"},{"label":"Transport","value":"stdio"}],"install":{"available":true,"bundleSha256":null},"tools":[{"name":"frame_check","title":null,"description":"Read a document with a structural lens: which analytical perspectives it covers, which it omits, how confidently it speaks, and which framing patterns from the Frame Vocabulary Standard fire on it.\n\nUse this when the user pastes a document and asks for a structural read, when you want to self-audit your own last response before the user acts on it, or when the user pastes another AI's reply and asks what that AI did structurally.\n\nZero-arg invocation works for any English analytical document: `frame_check(document_text=<text>)`. The defaults produce the full output, including the divergence block (perspectives the document does not use) and a per-call suggested_next_actions block. Pass the optional parameters only when the user has provided the relevant context (source material, decision goal, working-memory budget).\n\nCompose ONE insight grounded in the cited measurements (a reading the user could not see by reading the document themselves), not a walk through the measurements one by one. The measurements are Frame Check's; the reading is yours. Cite each measurement as Frame Check's; frame the reading as a reading ('the pattern reads as X'), never as a verdict ('the document is X'). Repeated calls with identical inputs return identical measurements; zero LLM cost on the deterministic path.","inputs":[{"name":"compose_budget","type":"string","required":false,"description":"Default 'standard'. Switch to 'minimal' for tighter working-memory budgets (per-turn self-audit loops, batch document processing) or to 'full' when you specifically need the inline claim_level_treatm…"},{"name":"divergence_rendering","type":"string","required":false,"description":"Default 'list'. Switch to 'teaching_questions' when the absent-frame records should carry a teaching_question field for surfacing as questions rather than identifiers. All other modes return the same…"},{"name":"document_text","type":"string","required":true,"description":"The document to analyse. English. 300 to 10,000 words is the validated range; under 100 words the analysis carries a low-confidence note, over 1,000,000 characters returns a truncation guidance. Mark…"},{"name":"include_divergence","type":"boolean","required":false,"description":"Default true. You do not need to pass this. The divergence block (frame patterns the document does not use, sorted by signal_strength) is the headline output and ships by default. Set explicitly to f…"},{"name":"include_frame_opportunities","type":"boolean","required":false,"description":"Default false. Set true when the user wants up to 3 LLM-augmented document-specific questions composed from absent-frame teaching questions plus the document's content. Adds frame_opportunities to th…"},{"name":"source_text","type":"string","required":false,"description":"Pass when the user has the source material the document was supposed to ground in (research report, SEC filing, primary source). Unlocks digit-level source-fidelity verification (Layer 4) plus a sent…"},{"name":"user_context","type":"string","required":false,"description":"Pass when the user has stated their situation, role, or decision context in the conversation (for example, 'I am a startup founder making a hire decision in healthcare AI', 'reviewing a research pape…"},{"name":"user_goal","type":"string","required":false,"description":"Pass when the user has stated a goal for invoking Frame Check. One of: 'decide' (working through a choice), 'brainstorm' (exploring options), 'persuade' (writing to influence), 'learn' (understanding…"}],"outputs":[],"hasOutputSchema":false,"hasExamples":false,"tokenEstimate":1168},{"name":"frame_compare","title":null,"description":"Compare the framing of two documents on the same subject. Surfaces shared blind spots, unique coverage gaps, voice / temporal / epistemic deltas, and a structured framing-differences narrative with per-dimension reader implications.\n\nUse this when the user has two documents on the same subject (two AI responses to the same prompt, two analyst memos, an earnings release versus a press summary) and wants to see how they frame the same question differently.\n\nPass `document_a_label` and `document_b_label` only when the user has named the documents (for example 'Gemini response' and 'Claude response'). Otherwise the comparison narrative falls back to 'Document A' and 'Document B'.\n\nCite each measurement as Frame Check's; never imply that one document is better, more rigorous, or more biased than the other. The structural comparison surfaces what differs; the reader judges what the difference means. Repeated calls with identical inputs return identical results. No LLM is invoked.","inputs":[{"name":"document_a_label","type":"string","required":false,"description":"Optional short label for document A (e.g. 'Industry view' or 'Gemini response'). Used in the comparison narrative. Defaults to 'Document A'."},{"name":"document_a_text","type":"string","required":true,"description":"The first document to compare. English. 300-10,000 words."},{"name":"document_b_label","type":"string","required":false,"description":"Optional short label for document B. Defaults to 'Document B'."},{"name":"document_b_text","type":"string","required":true,"description":"The second document to compare. English. 300-10,000 words. Should be on the same subject as document_a_text for the comparison to be meaningful."}],"outputs":[],"hasOutputSchema":false,"hasExamples":false,"tokenEstimate":332}],"toolsTruncatedAtCapture":false,"diagnostics":{"capturedAt":"2026-11-06T08:12:44.000Z","track":"package","endpoint":null,"declaredUrl":null,"truncated":false,"tls":null,"dnssec":null,"auth":null,"httpsRedirect":null,"transports":[],"provenance":{"outcome":"verified","label":"Verified","reason":"verified","reasonLabel":"Verified","discovery":"attestation_endpoint","discoveryLabel":"Registry attestation endpoint","sourceRepo":null,"attestationSkipped":null,"attestationSkippedLabel":null},"installScripts":[],"installScriptsTotal":null,"vulnerabilities":[],"vulnerabilitiesTotal":null,"dependencies":{"nodes":1,"partial":false,"deprecated":null,"stale":null,"noRepo":null}},"mismatches":[],"changelog":{"trackingSince":"2026-11-05","recent":[{"id":"chg_01a1afea-d195-7e91-a515-bf2e8d7e5268","kind":"check.reverified","summary":"Malware scan (unverified → pass)","materiality":"security","direction":"improvement","scoreDelta":null,"occurredOn":"2026-11-06","url":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp#chg-chg_01a1afea-d195-7e91-a515-bf2e8d7e5268"},{"id":"chg_01a1afea-d197-712d-98ae-687af15b77bc","kind":"score.total_changed","summary":"Trust score (65 → 80)","materiality":"functional","direction":"improvement","scoreDelta":15,"occurredOn":"2026-11-06","url":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp#chg-chg_01a1afea-d197-712d-98ae-687af15b77bc"},{"id":"chg_01a1ad39-2e41-7094-a338-965fb2a40bf8","kind":"score.first_scored","summary":"First indexed and scored","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-11-05","url":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp#chg-chg_01a1ad39-2e41-7094-a338-965fb2a40bf8"}],"truncated":false,"feedUrl":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp/changelog.json"},"links":{"html":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp","markdown":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp.md","changelogJson":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp/changelog.json","changelogRss":"https://verifymcp.io/servers/lluvr-frame-check/frame-check-mcp.xml","external":[{"label":"PyPI project","href":"https://pypi.org/project/frame-check-mcp/"},{"label":"Socket report","href":"https://socket.dev/pypi/package/frame-check-mcp"},{"label":"Repository","href":"https://github.com/lluvr/frame-check"}]}}