detect() already returns every file it saw but could not classify, no
supported extension or shebang, but nothing read it: a corpus mostly
in an unsupported language got the same well covered verdict as one
that was actually extracted, silently. Adds an Unclassified line to
the Corpus Check section naming the count and the biggest offending
extensions. Toward #3511.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017qfdzgbA5KedGEjD1AayNh
(cherry picked from commit f08e50534d)
GRAPH_REPORT.md rendered the Community Hubs section as Obsidian wikilinks, but
the `_COMMUNITY_*.md` notes they target are only created by the opt-in
`--obsidian` export — and the report is written at build time, before any export
runs. So on a default run every link dangled: inside an Obsidian vault they
spawned phantom `_COMMUNITY_*` nodes in the graph view, and outside Obsidian they
rendered as literal brackets that navigate nowhere.
`generate()` now takes `obsidian: bool = False`; by default the hubs render as a
plain list, and the wikilink form is emitted only when a caller opts in. The
Obsidian export's own community notes already cross-link each other, so the vault
stays navigable without the report's links. Mirrors the #1444/#1465 portability
fix that was applied to `export wiki`.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
#1635: the windows skill variant declared `name: graphify-windows`, but
`graphify install --platform windows` writes it to ~/.claude/skills/graphify/
SKILL.md and Claude Code requires the folder name to equal the frontmatter
`name` — the suffix broke discovery. platforms.toml now sets name = "graphify"
(regenerated + re-blessed).
#1646: the OpenCode (and Kilo) plugin prepended its reminder with `&&`, which
Windows PowerShell 5.1 rejects as a statement separator, breaking the first
bash command of every session. Switched to `;` (valid in PowerShell 5.1, Bash,
POSIX).
#1657: the GRAPH_REPORT.md "Import Cycles" section printed "None detected" on
documents-only corpora where imports don't exist — now gated on code nodes /
import edges being present. The other two items in that issue (mojibake in
manifest/report, stdout encoding) are already handled on current v8: both files
are written UTF-8 and main() reconfigures stdout/stderr to UTF-8.
Full suite: 2909 passed, 3 skipped.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Projects the verdicts `graphify reflect` already distills (preferred /
tentative / contested, exponential time-decayed) into a derived
experiential layer the read surfaces consume, so accumulated agent
experience actually shows up where you look — without polluting the
structural graph.
Design (grounded in agent-memory + provenance literature; a redesign of
the #1542 approach):
- SIDECAR, not graph.json stamping. `reflect` writes `.graphify_learning.json`
next to graph.json (an additional output, so the git hooks produce it
automatically). graph.json stays purely structural; nothing leaks into
GraphML; no graph.json churn. Mirrors the named-graph / event-sourcing
separation of durable truth from a derived layer.
- Reuses the existing reflect aggregate (its `_decay` is the
recency-weighted exponential model; `_finalize_sources` the
classification) — no new scoring.
- PROVENANCE: each verdict carries the source questions/dates that produced
it (cap 5, most-recent first).
- STALENESS: each verdict stores the node's file fingerprint; on read, a
changed source file flags the verdict stale ("code changed since —
re-verify") rather than presenting a confident lesson on rewritten code.
- CONTESTED surfaced distinctly (useful N / dead-end M), not averaged away.
- DEAD-ENDS stay QUERY-SCOPED — never a node-level status; they appear only
in the report as question -> nodes.
- Read surfaces (explain / query+MCP / GRAPH_REPORT / graph.html) merge the
overlay at read time, sanitized; un-annotated graphs are byte-identical.
Deferred (logged): letting verdicts influence query/seed traversal — the
recommender feedback-loop / Matthew-effect risk means that needs
propensity correction + exploration, not naive biasing.
Builds on the idea in #1441/#1542 (thanks @TPAteeq).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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