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Applies every pre-merge required change from audit/pr-stream-2026-08/ that could not land on contributor forks, plus the stream's cross-cutting fixes: - stock-analysis (#944): description trimmed 1463 -> 1001 chars; Anti-Patterns + Cross-References sections added; security-auditor false positive at holdco-assetmgr.md:58 suppressed inline (auditor:ignore-line) -> strict PASS - deepread (#965): renamed research/dsh-deepread -> research/deepread; H1 and name updated; research-summarizer cross-ref path-qualified; 12 cited sources added across both references; plugin.json + marketplace entry; routed in the research orchestrator (SKILL.md registry + SIGNALS + classifier.py in lockstep, verified: 'deeply read this pdf' -> deepread, 3 signals) - business-name-fit (#926): 'Use whenever' -> 'Use when' (validator trigger regex); +2 cited sources (USPTO TMEP §1209, Usunier & Shaner 2002) -> 5 - embedded-iot-mentor (#942): references/hardware-selection.md (7 sources, datasheet-anchored) + worked mini-example; validator length gate now passes - swedish-mentor (#943): references/swedish-resources.md (6 sources, stable official URLs only); session recipes, milestones, learner situations, worked example; mandated opener softened to guidance; plugin.json + marketplace entry; validator length gate now passes - Related Projects (#895): LinkedIn Skills row trued up (10 -> 11 skills, hardcoded star count dropped) - check_plugin_json.py: marketplace description <= 1024 guard added to --all (the #964 regression guard; commercial-skills sits at 1021/1024) - #954 doc drift: quality_gates_for_skills.md, cs-skill-author.md, security-guidance SKILL.md now point attribution at authoring-notes.json - Counter true-up after the 6-skill merge batch: 370 skills / 672 tools / 809 refs / 92 plugins across README.md badge+table, CLAUDE.md, marketplace metadata (derive_counters.py --check passes) All gates green locally: frontmatter 0 errors, model freshness 0 findings, dual-publish 0 drifted, paths 0, smoke 0 failed, plugin-json 0 FAIL. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017Bzm6Pafyxja6g4jUDPcei
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Evidence-Centered Knowledge Map
Use this reference for map mode. A useful map preserves reasoning, not just headings.
Node Types
THESIS: the central claim or explanatory model.CLAIM: a supporting or opposing proposition.REASON: a logical bridge between claims.EVIDENCE: an observation, quotation, record, or study.DATA: numerical evidence with unit, population, period, and baseline.EXAMPLE: an illustration that does not by itself establish generality.CONCEPT: a term whose definition matters to the argument.ASSUMPTION: an unstated premise.COUNTERARGUMENT: an alternative conclusion or explanation.LIMITATION: a boundary on scope or confidence.QUESTION: an unresolved issue or retrieval prompt.
Edge Labels
Every edge must use a meaningful label: supports, explains, defines, illustrates, depends on, qualifies, contradicts, or raises.
Never use unlabeled proximity as a substitute for a relationship.
Required Metadata
For evidence and data nodes, include:
- source location;
- the claim they connect to;
- confidence label;
- missing context or caveat.
Markdown Output
THESIS: [central claim]
├── supports → CLAIM: [supporting claim]
│ ├── because → REASON: [logical bridge]
│ ├── supports → EVIDENCE: [evidence] ([location])
│ └── qualifies → LIMITATION: [boundary]
├── depends on → ASSUMPTION: [unstated premise]
└── contradicted by → COUNTERARGUMENT: [strong alternative]
When the user requests FreeMind or XMind-compatible output, render the same hierarchy as valid FreeMind XML and escape all source-derived text used in XML attributes.
Quality Check
Before delivering the map, verify:
- Every major claim connects to the thesis.
- Every evidence node connects to a specific claim.
- Examples are labeled as examples.
- Contradictions and limitations remain visible.
- The map contains no conclusion that exists only because of layout.
Sources
- Novak, J. D. & Cañas, A. J. — "The Theory Underlying Concept Maps and How to Construct and Use Them" (IHMC CmapTools Technical Report, 2008) — the concept-mapping method this map structure derives from.
- Toulmin, S. — The Uses of Argument (1958) — claim / grounds / warrant decomposition mirrored by the claim–reason–evidence fields.
- Ahrens, S. — How to Take Smart Notes (2017) — atomic, linked notes as durable knowledge structure.
- Adler, M. J. & Van Doren, C. — How to Read a Book (1972) — syntopical reading: mapping how multiple sources answer the same question.
- Weinstein, Y., Madan, C. R. & Sumeracki, M. A. — "Teaching the Science of Learning", Cognitive Research 3 (2018) — elaboration and concrete-example strategies encoded in the map's link labels.
- Hattie, J. & Donoghue, G. M. — "Learning Strategies: A Synthesis and Conceptual Model", npj Science of Learning 1 (2016) — where organization/mapping strategies help in the acquisition→consolidation cycle.