Searches ANSI-stripped output for LANG / LC_ALL / LC_CTYPE envvar
substrings emitted by env / locale / printenv. Highest-priority key
wins (LC_ALL > LANG > LC_CTYPE); POSIX value normalised to BCP-47:
en_US.UTF-8 → en-US, pt_BR.UTF-8 → pt-BR, C/POSIX → und. Free-string
registry value emitted directly.
PII discipline: only the parsed locale value enters observations;
surrounding output is read once for matching and dropped.
Adds PromptLine dataclass + extract_prompt_lines() helper. PromptLine
carries ts, suffix_char ($/#/%/>), raw_line (ANSI-stripped, capped),
is_root flag. Populated during the existing single-pass output-window
walk; SessionContext gains prompt_lines, Command gains
followed_by_prompt.
PII trade-off (ANTI-authorised at Phase F): PS1 text retained on ctx
so F.1 / F.3 / E.4 can read it. Capped at PROMPT_LINE_MAX_CHARS=256.
Observations still only carry derived primitive values.
D.0's regex error helpers stay alongside (NOT subsumed) — they fire
even when PS1 echo is suppressed. F.0 enriches D.0 rather than
replacing it.
Inspect the first N commands; if at least K of their first_token_hashes
match the recon-survey vocabulary (uname/id/whoami/pwd/hostname/w/who),
emit present, else absent. Hashes precomputed at module load; PII-safe.
v0.1 N=5, K=2.
Bin commands into non-overlapping windows of width
max(ESCALATION_WINDOW_MIN_S, duration_s / ESCALATION_WINDOW_TARGET).
CV of per-window counts + zero-window fraction classify bursty /
sustained / erratic. v0.1; corpus re-tune deferred.
Bucket ctx.duration_s against SESSION_DURATION_SHORT_MAX (60s) /
MEDIUM_MAX (600s) / LONG_MAX (3600s); else marathon. Direct
measurement, confidence 0.85. Skip emission only when no commands
and zero duration. New _features/temporal.py module opens Phase E.
Compares median within-command IAT for commands following an errored
command vs commands following a successful one. Relative absolute delta
buckets to low / moderate / high. Skips when either group is empty
(no errors, or no clean baseline). v0.1; D.8 re-tunes.
Distribution of inter-command IATs bucketed against IKI_THINK_MAX_S
(deep) and INTER_CMD_INSTANT_MAX (reactive); fall-through is shallow.
v0.1 thresholds; D.8 re-tunes.
Two-axis classification over the first_token_hash sequence:
repetition_rate (drilling) vs backtrack_rate (jumping among prior
tools). chaotic/targeted/methodical buckets. v0.1 thresholds; D.8
re-tunes.
Composite over three [0, 1]-clipped sub-signals (chunking variance,
error rate from D.0's Command.errored, pace variability), mean-aggregated
and bucketed against COGNITIVE_LOAD_LOW_MAX / COGNITIVE_LOAD_MEDIUM_MAX.
Components missing data drop out of the mean rather than zeroing it.
v0.1 thresholds; D.8 re-tunes once D.2-D.7 are stable. Confidence
held at 0.60 (composite over soft sub-signals) and halved below the
5-command sample-size floor.
Lifts the error-signal slice of F.0 forward as a D.0 prelude. ANSI
strip + canonical bash/sh error fingerprints classify each command's
post-execution output window; Command gains errored / output_bytes
fields. PII discipline preserved — only a bool and an int leave the
helper, the stripped output text is dropped on return.
Drives D.1 (cognitive_load error_rate term) and D.5–D.7 (error_resilience
family). Phase F.0 will subsume this with PS1 + exit-code parsing.
BEHAVE-EXTRACTOR.md Phase B Step B.3. Replaces the prototype's
two-line "0 vs >0 backspaces" placeholder with a backspace-timing
classifier that honours the registry's full vocabulary.
* SessionContext gains backspace_count, backspace_iats (IAT from
each backspace back to the preceding non-backspace input event),
and kill_line_count (^U / ^W). Built by _scan_correction_signals,
which retains only counts and timing aggregates — no character
data leaves the helper, in line with the BEHAVE PII discipline.
* _features/motor.py:error_correction(ctx) emits one Observation
in {immediate, deferred, absent, route_around}.
- 0 backspaces + ≥1 ^U/^W → route_around (rewrite, not correct)
- 0 backspaces + 0 kill-lines → absent
- backspaces with median IAT ≤ 500 ms → immediate
- slower → deferred
Confidence 0.65 / 0.65 / 0.55 / 0.55.
* < 3 inputs → skip emit.
* Calibration grid widened to include motor.error_correction;
green across all five shards.
Tests cover all four buckets, the < 3 inputs skip, and the PII
regression (raw command body never appears in the serialised
observation).
BEHAVE-EXTRACTOR.md Phase B Step B.2. First principled
implementation — the prototype doesn't ship this primitive at all.
* _features/motor.py:motor_stability(ctx) emits one Observation
in {steady, variable, tremor}. Reuses ctx.typing_bursts from B.1.
* Tremor proxy: fraction of within-burst IATs below
TREMOR_FAST_FLOOR_S (30 ms — humans can't sustain sub-50 ms IATs).
≥ TREMOR_RATE_MIN (10%) sub-floor → tremor (double-press / motor
twitch / stuck-key).
* Otherwise median burst CV decides: < CV_STEADY_MAX → steady,
else → variable. Confidence 0.70 / 0.60 / 0.65.
* No typing bursts or fewer than 5 within-burst IATs → skip emit.
* Calibration grid widened to include motor.motor_stability; green
across all five shards.
Tests cover all three buckets + skip paths.
BEHAVE-EXTRACTOR.md Phase B Step B.1.
* SessionContext gains typing_bursts: tuple[tuple[float, ...], ...]
built by _split_typing_bursts(iats) — splits at gaps > IKI_THINK_MAX_S
(1.5s) and drops bursts of fewer than 3 IATs. Mirrors prototype's
_split_into_bursts at BEHAVE/prototype_extractors/shell/extract.py:275.
* _features/motor.py:keystroke_cadence(ctx) emits one Observation
in {steady, bursty, hunt_and_peck, machine}. Median CV across
typing bursts; mean IKI < IKI_MACHINE_MAX_S paired with CV <
CV_MACHINE_MAX → machine. Confidence 0.85/0.70/0.65/0.60 per the
prototype's calibration history.
* < MIN_INPUTS_FOR_CADENCE inputs or zero typing bursts → skip
emission. v0.1 emits only the burst-CV variant; the prototype's
NAIVE session-CV variant is parked for v0.2.
* Calibration grid widened (PHASE_A_PRIMITIVES → PHASE_AB_PRIMITIVES)
to include motor.keystroke_cadence. Grid green across all five
shards.
Tests: too-few-inputs → no emit, all-think-pauses → no burst → no
emit, uniform IATs → steady, sub-5ms → machine, mixed-pace → bursty,
extreme bimodal → hunt_and_peck.
BEHAVE-EXTRACTOR.md Phase A Step 9 — the gate. Runs the pure
engine against each of the five 2026-05-02 calibration shards and
pins the contract that all subsequent Phase B-G PRs must keep
green: every Phase A primitive (motor.input_modality,
motor.paste_burst_rate, cognitive.inter_command_latency_class,
cognitive.command_branch_diversity, cognitive.feedback_loop_engagement,
cognitive.inter_command_consistency) fires at least once per shard.
* tests/profiler/behave_shell/test_calibration_grid.py
parametrized over (shard_file, class_label) for HUMAN / YOU-sim /
LW-sim / CLAUDE-FF / CLAUDE-CL. Skips entirely when
BEHAVE_CALIBRATION_DIR is unset (CI provides the path; local dev
doesn't have to).
* Plus a discrimination-smoke check: at least one primitive
produces different majority values across present classes —
catches the "constant-output regression" failure mode where the
engine quietly degenerates to a stub.
Calibration tweak: BRANCH_DIVERSITY_LINEAR_MIN dropped from 0.80 to
0.70 to align with the prototype's empirical anchors (CLAUDE-CL ≈
0.55-0.60 adaptive; YOU-sim / CLAUDE-FF scripted recon ≈ 0.75+
linear). Test for the middle band re-pinned at the new boundary.
Per-class value pinning (e.g. HUMAN must emit
inter_command_consistency=bimodal) is intentionally NOT a hard gate
yet — v0.1 thresholds put real human sessions in "variable", and
true bimodal detection (Hartigan dip / two-peak) is registry-flagged
for v0.2. Tighter pinning lands as the corpus grows.
BEHAVE-EXTRACTOR.md Phase A Step 5. Classifies the operator's
thinking pace between commands. Splits LW-sim / CLAUDE-FF /
CLAUDE-CL.
* _features/cognitive.py:inter_command_latency_class(ctx) emits one
Observation in {instant, typing_speed, deliberate,
llm_lightweight, llm_heavyweight, long}, computed as the median
of ctx.inter_cmd_iats bucketed against the prototype thresholds
(v0.2 split: lightweight 2-8s, heavyweight 8-30s).
* Sample-size honesty: < 5 commands halves confidence (0.40 vs
0.80) per BEHAVE-EXTRACTOR.md.
* Threshold consts (INTER_CMD_*_MAX, MIN_COMMANDS_FOR_FULL_CONFIDENCE,
plus parked Step 6/7/8 thresholds for the next three commits)
added to _thresholds.py.
Tests cover all six buckets at empirically-anchored IATs (15s ≈
Claude Opus driving recon via tmux send-keys), plus the
single-command no-IAT and low-sample-count paths.
BEHAVE-EXTRACTOR.md Phase A Step 1. Lays the shared primitives that
Steps 2-3 (motor.input_modality, motor.paste_burst_rate) will
consume:
* parse_shard_line / parse_shard turn a shard JSONL line/file into
AsciinemaEvents, skipping headers and malformed records.
* PasteBurst dataclass + _detect_paste_bursts group consecutive
paste-class input events (len(d) >= 4 chars per the prototype's
empirical floor) into contiguous bursts, splitting on IAT gaps
larger than PASTE_BURST_MAX_IAT_S (200ms).
* SessionContext now carries iats and paste_bursts derivations.
* Threshold constants harvested from
BEHAVE/prototype_extractors/shell/extract.py — calibrated against
the five 2026-05-02 shards.
Tests cover pure-typed, pure-pasted, mixed streams; close vs far
paste events; typed events breaking a burst; PasteBurst immutability;
and the JSON parser's junk handling.
BEHAVE-EXTRACTOR.md Phase A Step 0. Lays the package skeleton
(__init__/extract/_parse/_ctx/_thresholds/_features) with empty
FEATURES = (), so the worker plumbing in BEHAVE-INTEGRATION Phase 4
has a stable import path before any primitive lands.
extract_session() builds a SessionContext once and fans the
registered feature functions across it; at Step 0 that fan-out is
empty and the function yields nothing. Step 1 (asciinema parser +
paste-burst detector) and Step 2 (motor.input_modality) land next.
Smoke suite asserts the empty contract: empty stream → no
observations, single event → t_start == t_end, multi-event → events
routed into input_events / output_events by kind, evidence_ref
defaults to "session:<sid>" or honours an explicit override.
