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(v4.6.57)
Acting on the "Request to the newOS4 team" packet (spaces/agando/guides/,
re-verified by its author on 4.6.56). Three verified defects fixed:
Packet 5 (predictor arithmetic) - module-predictor.js
- the persisted field named mape held a SUM while predictor-status divided by the
paired count: renamed to errorSum, older payloads read through
- errorPct is stored raw; the 500% clamp is now render-only, so a 475x miss stays
visible instead of being flattened to the ceiling
- predictions are floored at 1 s and marked floored; a floored prediction is
consumed but never scored as 100% error (a 0 s prediction is not a prediction)
- observations shorter than 1.5 s (aborted/instant runs) are marked unusable and
no longer train _findSimilar - one 0.079 s run was rounding the next prediction
to 0 s
- status prints an unpaired and an unscored count alongside the mean
Packet 10 (verification cannot see its own fixes) - module-aiassist.js
- view_module now returns the DEPLOYED source, prefixed with file and version,
and only falls back to the _mods copy with a "may be stale" banner. The
unversioned _mods/<Class>.js edit cache used to shadow the deployed file
forever, so the viewer showed pre-fix code while the bundle was new.
Proven by seeding a stale _mods/PredictorModule.js and calling the tool.
Packet 1b (ls exits clean with no output) - module-fs.js
- ls rendered only via printClickable(), which writes straight to the DOM, so any
capture (AI run_command, diagnostics) saw an empty result and reported "empty
directory". It now always prints a text line and keeps the clickable chips when
nothing is capturing.
Test: modules/test/test-predictor-accuracy.js 34/34 (new cases Q, R, S).
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The accuracy readout was structurally 0%: module-predictor.js:187 incremented the
denominator on every observed run while the numerator only moved when a stored
prediction existed, and predictions were stored only by the manual `predict`
command (the AI tool predict_task computed one and discarded it). Replaying the
AI loop's own call path with 6 tasks printed "Predictions made: 0, Accuracy: 0/6".
- pending predictions with a 15m TTL, consumed by threaded id -> task hash ->
cli-only similarity >= 0.5; unpaired runs never enter the denominator
- duration scored within 30% or 3s (integer predictions vs fractional observations)
- errorPct capped at 500% so one miss cannot poison the mean error
- schema v2: v1 correct/total counters dropped on load, observed runs and the
prediction counter kept; task text stored as an FNV-1a hash only
- tuning (confidence-threshold, min-data-points, pair-ttl) persists
- min-data-points now scales confidence (was declared, printed, settable, unread)
- AI loop registers a prediction per turn and threads its id; predict_task
returns predictionId; durations exclude chat-lock queue wait
- status/dashboard say "n/a" instead of "N/A%", and carry paired count, mean
error, turns error, pending and unpaired counts
- test: modules/test/test-predictor-accuracy.js (26 assertions)
Live on main.html v4.6.56: fresh session -> "Accuracy: n/a (0/0 paired)";
one paired run -> "100% (1/1 paired) - mean error 5% - turns +-0.0".
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dashboard (v4.6.55)
Root cause: splitPipe() splits on every '|', so `help |`, `| wc -l`, `a || b` produced a stage with
no argv and executePipeChain() called parts[0].toLowerCase() on undefined — 989 occurrences, first
filed 2026-10-20, unfixable from the report because bug reports dropped the stack that named
executePipeChain:3955. Same unguarded read existed in _classify().
- terminal.js: _classify() returns an inert classification for empty argv; executePipeChain()
parses each stage once, filters stages with no argv (so the last real stage stays final), warns
only when the whole pipeline is empty. Last-stage test now compares against the filtered length.
- module-system.js: `bug` diagnostics include the stack (10 frames, 1200 chars); auto-filed reports
carry it too — they are the majority of the inbox and were previously message-only.
- report.php: per-stack 2 KB cap; fingerprint pinned to message/source/count so adding `stack`
cannot break dedupe against reports filed before today.
- ingest.php: first_frame() parsed once on ingest, stored as `frame` on each signature.
- newos4-triage.py: FRAME| line with the first application frame.
- dashboard.php: frame under each Top Errors row.
- modules/test/test-pipe-guard.js: ordering tripwire (guard must precede the parts[0] read).
Verified: test RED exit=1 -> GREEN exit=0; browser matrix on v4.6.55 (help |, | wc -l,
echo hi || echo bye, ls | | wc -l, |) -> 0 new error signatures, "|" warns;
auto-filed report now carries stack (RPT-...f3e31124, archived after the probe);
frame = modules/core/core-bundle.js:3955:42; maintain OK; skill audit 7/7.
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skill audit
External review packet (os4-external-review-v4.6.51.html) triaged against the code:
2 findings confirmed and fixed, 4 could not be reproduced and were recorded as such.
- module-memory-graph.js: getStaleSkills() treated a missing lastUsed as 999 days
unused, so skill-audit recommended archiving every skill (22 of 22). Skills with no
usage telemetry are now collected by getUntrackedSkills() and never counted stale.
Live: "Stale: 0" + "Untracked: 22 (no usage telemetry — NOT stale)".
- module-world-model.js: _saveToVFS() ignored fsWriteJSON()'s return value and promoted
whatever a truthy read returned. Now write -> read-back -> byte compare -> promote,
with every return checked. Regression test modules/test/test-world-model-save.js
(red on the old code: promoted=true with errs=[]; green now).
- scripts/newos4-skill-audit.py: 5 mechanical probes (version x3, read_file paging +
context budget, selection symbols, required scripts, extKeys) + skill presence;
exits non-zero on drift. 7/7 pass today. Weekly job cb6bc2a16216 runs it Mondays.
Not reproduced (recorded in admin/docs/newos4-external-review-verification-2026-10-23.md):
world_model_query empty-payload throw (live call returns JSON), pipes-as-command-names,
ls skills empty (23 entries via fs.readDir), ~66 agent dirs (4 live).
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(v4.6.50)
`world-model-ask` was a 10-keyword lookup: any real question returned
"Unknown query. Try: modules, skills, ...". The documented example
("what changed since yesterday") compared nothing — it restated the current
snapshot.
- _modelDigest(): whitelisted snapshot (measured 942-965 chars on fixtures,
~3.3 KB live) + recent error sample + changesSinceLastSnapshot
- _buildAskPrompt(): "answer only from this JSON, never invent numbers, name the
command that would produce missing data"
- ask(): connects Ollama on demand, answers via chat(), falls back to the facts
path with a visible warning; --facts keeps the instant lookup
- _diffSincePrev(): keeps one previous snapshot in /system/world-model.prev.json
so "what changed" is a real diff (files 136 -> 140)
- world_model_query tool returns the snapshot (digest or detail:full) instead of
ten canned strings; no nested LLM call inside a tool call
- help text now says what it does; node test modules/test/test-world-model-ask.js
(11 assertions, runs the real class)
Verified live v4.6.50: facts "Loaded 46 modules" | LLM "The snapshot does not
contain information regarding the cause of memory growth ... use
world-model-refresh" | diff "files 136 -> 140" | tool snapshot 3,334 bytes.
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verified file links; preview fullscreen+share; files->WebDAV upload button (v4.6.45)
- download: URL built from _resolveSpaceName() (config url = logged-in user), not the page space
- WebDAV browser 🔗: shares selected FILES only, URL-encoded, HEAD-verified (200) before claiming success;
folders offer a tar fallback instead of a guaranteed-403 link
- file manager preview: ⛶ fullscreen + 🔗 copy-link toolbar (was none)
- file manager toolbar: ☁ WebDAV publishes selected/current file via webdav-push
- modules/test/test-download-url.js: 4 PASS
- rebuild bundles, bump v4.6.44 -> v4.6.45 (loader + 3 script tags)
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