Bundled by #83063 into the always-shipped set, but it serves only
multi-agent kanban campaigns — too niche for every install's skills
index (~20 tok/call for all users). Moved to the optional catalog
(installable via /skills search + hub, official source) and renamed so
the trigger is legible at a glance: 'merge-reconciler' read like a
generic git helper; 'agent-merge-conflict-arbiter' says who it is for.
- skills/autonomous-ai-agents/merge-reconciler -> optional-skills/autonomous-ai-agents/agent-merge-conflict-arbiter
- frontmatter name + description updated (description within the 60-char hardline its own contract test enforces)
- contract test moved/renamed, 9/9 green
- kanban docs (en + zh-Hans) repointed; zero merge-reconciler refs remain
The bundled plan skill's auto-generated slash command fell off the capped
Telegram/Discord command menus for most installs (skills are the only tier
trimmed at the platform caps, alphabetically — 'plan' sat past the cutoff at
index 57 of 82 bundled skills). Converting it to a first-class CommandDef
gives it a guaranteed core-tier menu slot on every platform.
- agent/plan_prompt.py: build_plan_prompt() — plan-mode rules + authoring
craft distilled from the retired skill; prompt-injection pattern like
/learn and /init (no engine, no model-tool footprint, cache-safe).
- CLI: _handle_plan_command mixin handler (pending-input injection).
- Gateway: /plan branch rewrites event.text and falls through (role
alternation preserved).
- TUI: command.dispatch branch ('plan' was already in
_PENDING_INPUT_COMMANDS).
- Removed skills/software-development/plan/ + docs pages (EN + zh-Hans),
catalog rows, sidebar entry, related_skills references.
- PROTECTED_BUILTIN_SKILLS is now empty (mechanism kept); dependent
curator/usage tests moved to monkeypatched sentinels.
Salvages #67292 by @webtecnica (credit: first /plan command submission,
issue #67264); reworked from inline planning prompt to the prompt-injection
pattern with workspace-saved plans. Closes#67264, closes#36821 (empty
/plan infers task from conversation context).
DEFAULT_AGENT_IDENTITY was rewritten in agent/prompt_builder.py (behavior
spec, exploration-thrift line deliberately removed) but the actual seed
written to disk on first run, hermes_cli/default_soul.py's
DEFAULT_SOUL_MD, was never updated. ensure_hermes_home() writes
DEFAULT_SOUL_MD into SOUL.md on every fresh install before the agent's
first turn, so virtually all real users end up as "SOUL.md users" seeded
with the pre-rewrite text -- including the exact "targeted and efficient
exploration" line the rewrite explicitly banned -- while the new
DEFAULT_AGENT_IDENTITY fallback essentially never serves the "fresh
install" audience its own PR body named as the target.
- DEFAULT_SOUL_MD now matches DEFAULT_AGENT_IDENTITY exactly.
- The pre-rewrite text is added to _LEGACY_TEMPLATE_SOULS so installs
already seeded with it self-heal via the existing upgrade-in-place
mechanism (same guarantee as the comment-only scaffold entries: the
string carries zero user intent, so it's safe to replace).
- Synced the other places install.sh's own comment says "MUST match
DEFAULT_SOUL_MD": scripts/install.sh, scripts/install.ps1,
docker/SOUL.md, and the docs/i18n pages that quote the fallback text
verbatim.
/bg (formerly /background, which is retired) keeps the existing semantics:
spawn a fresh, independent agent session in the background.
/btw is now its own command matching the convention other harnesses use:
ask a quick side question ABOUT the current conversation without
interrupting it. A one-shot auxiliary LLM call (main model by default,
overridable via auxiliary.side_question.* in config.yaml) answers from a
read-only transcript snapshot — the live session's history, role
alternation, and prompt cache are untouched, and the current turn keeps
running.
Surfaces wired: CLI (inline mid-run dispatch), gateway (all messengers,
busy-dispatch table + idle dispatch, i18n across all 17 locales), TUI
(prompt.btw RPC + btw.complete event), Discord native slash, relay
command manifest, desktop exec routing, docs (EN + zh-Hans).
web_extract stopped using an auxiliary LLM long ago (deterministic
truncate-and-store), but browser snapshots still routed oversized
accessibility trees through the auxiliary web_extract model, keeping a
dead-looking aux slot alive across every config/picker surface.
- tools/browser_tool.py: remove _extract_relevant_content and
_get_extraction_model; oversized snapshots always truncate at line
boundaries, store the full tree to cache/web, and append a read_file
pointer (element refs beyond the cut live in the file)
- tools/browser_camofox.py: same — no LLM path
- Remove auxiliary.web_extract slot: config_defaults (removal note, same
pattern as session_search/PR #27590), cli.py defaults + env bridge,
gateway/run.py bridged keys, hermes config display, hermes model picker,
dashboard REST slots, desktop + web AUX_TASKS, i18n labels (en/zh/
zh-hant/ja/ar)
- Docs: env-vars, configuration, fallback-providers, browser + zh-Hans
mirrors (web-search zh-Hans was stale on the old LLM pipeline — synced
to truncate-and-store truth)
- Tests updated: aux bridge uses approval slot, browser tests assert the
LLM path is gone and stored files are secret-redacted
Follow-up to lkz-de's adapter chunking commit: long Signal messages no
longer truncate on ANY delivery path.
- tools/send_message_tool.py: register Signal's 8000-char limit in
_MAX_LENGTHS (imported from the adapter module so the two paths can't
drift) so hermes send / cron standalone / MCP sends split via the
shared truncate_message() pass instead of signal-cli rejecting them.
Standalone-path idea credited to @5L-hermes01 (#67279).
- tests: regression test proving standalone Signal sends chunk at the
adapter limit with no truncation footer (fails on pre-fix main).
- docs: Long Messages section on the Signal page (en + zh-Hans).
Both fixes verified by sabotage A/B (tests fail with the respective
half reverted to origin/main) and a real-import E2E: 27k-char message
with emoji + cross-boundary bold + code blocks -> 4 chunks, all styles
in-range UTF-16, lossless reassembly.
Widened from /review to the class: _build_child_system_prompt now runs
the parent's resolved workspace_path through
agent.prompt_builder.build_context_files_prompt (same discovery/
priority/caps as the main system prompt: .hermes.md > AGENTS.md chain >
CLAUDE.md > .cursorrules; SOUL.md skipped) and embeds the result as
binding conventions. All delegate_task children get it — reviewer
included — since children are built with skip_context_files=True and
previously worked in repos without the repo's own conventions.
The review-engine-local load_workspace_context duplicate is removed;
the reviewer inherits the block via the shared child prompt path.
workspace_path comes only from explicit sources (_resolve_workspace_hint
— TERMINAL_CWD / agent cwd hints, never bare getcwd), so the #64590
install-tree-fallback guard concern doesn't apply.
Tests moved to pin the generalized path (real-filesystem AGENTS.md via
_build_child_system_prompt, empty/no-workspace negatives, reviewer E2E
through start_review). Docs: subagent-context section + /review flow
(en + zh-Hans).
load_workspace_context() resolves the parent's workspace via the same
_resolve_workspace_hint used for child prompts (explicit sources only —
TERMINAL_CWD / agent cwd hints, never a bare getcwd fallback, so the
#64590 install-tree-leak guard concern doesn't apply) and runs it
through agent.prompt_builder.build_context_files_prompt — the exact
discovery/priority/cap logic the main system prompt uses (.hermes.md >
AGENTS.md chain > CLAUDE.md > .cursorrules; SOUL.md skipped). The
result is embedded in the reviewer briefing as binding review
standards. Subagents are built with skip_context_files=True, so without
this the reviewer judged repo work without the repo's own conventions.
5 new tests incl. real-filesystem AGENTS.md discovery through the real
loader. Docs updated (en + zh-Hans).
The reviewer subagent now inherits the primary agent's working skill
context: collect_parent_loaded_skills() gathers launch-preloaded skills
(from the activation notes in ephemeral_system_prompt) and mid-session
skill_view loads (from assistant tool_calls in history), deduped and
capped at 8, and the briefing instructs the reviewer to skill_view each
and treat their conventions as binding for the assessment.
Reference-file reads (file_path=...) don't count as loads; full-skill
injection was rejected as too costly (a single dev skill can be 40KB+).
Docs: delegation.md /review flow updated (en + zh-Hans).
Follow-up to #93339: the auxiliary.review slot existed in config but was
missing from every model-picker surface, so users could only set the
review model by hand-editing config.yaml.
- hermes_cli/web_server.py: review in _AUX_TASK_SLOTS (REST allowlist,
stale-aux warning sweep)
- hermes_cli/main.py: review in _AUX_TASKS (hermes model aux picker)
- apps/desktop model-settings.tsx + all 5 i18n locales (en/ja/zh/
zh-hant/ar): review slot with label/hint
- web/src/pages/ModelsPage.tsx: review row in dashboard Models page
- tests: registry-sync test pinning review across DEFAULT_CONFIG,
_AUX_TASKS, and _AUX_TASK_SLOTS (curator pattern)
- docs: aux-task table in fallback-providers.md (en) + zh-Hans mirrors
of fallback-providers and the delegation /review section missed in
#93339
The Aug 8 default-on upscaling policy (66ea4e686) chained the Clarity
Upscaler after every sub-2MP generation. Clarity is an SD1.5 creative
tile-diffusion enhancer (creativity 0.35, "masterpiece" prompt prefix) —
it redraws content, which degraded output on 100% of generations for
models like GPT Image 2 and Ideogram whose value is precise text
rendering, CJK, and photorealistic detail.
Policy now: no model upscales by default, on FAL or Krea. The `upscale`
tool param remains as a per-call opt-in (`upscale: true`); explicit
requests still chain Clarity (FAL) / Krea Enhance as before.
- FAL catalog: all 17 default-on entries flipped to upscale=False
- Krea plugin: medium + medium-turbo per-model defaults flipped off
- Tool schema: upscale param described as opt-in with a fidelity warning
- Tests updated: catalog invariant now pins all-off; default-on cases
now assert no upscaler call
- Docs (en + zh) updated to the opt-in policy
#87326 shipped the lean-compaction capability on the compressor; this adds
the config.yaml surface (compression.tail_mode: legacy|lean, default
legacy), DEFAULT_CONFIG entry, and docs on both the dev-guide compression
page and the user-guide configuration page, with zh-Hans parity.
Background process completions on messaging platforms now default to a
one-line status message (✅/❌ + command + duration; failures append a
short output tail) instead of dumping the raw output buffer into the
chat. New display.background_process_notifications mode 'concise' is
the default; 'all' keeps the old raw-dump behavior for anyone who wants
it. Config migration v35 moves users still on the old implicit default
'all' to 'concise' on their next update; explicit result/error/off
choices are preserved.
Carry the worker's completion handoff into the synthetic creator wake
turn and label it as an automatic notification with inspect-the-board /
don't-recreate guidance, so a woken orchestrator doesn't re-decompose
work that already exists (#70752).
Salvaged from PR #71100 by @yinkev; ported onto the restructured wake
region (delivery_mode gating, scope_id, sub chat_id destinations). The
auto_subscribe_on_create config-default half of the original PR was
dropped as already superseded on main.
Adds the comment-based hotspot convention (no new primitives) across three
guidance surfaces:
- KANBAN_GUIDANCE worker lifecycle: new step 7 — when a file keeps colliding
with siblings or appears in other cards' recent comments, leave a
'hotspot: <path> — <reason>' kanban_comment and repeat it in completion
metadata so the orchestrator can decompose the file first.
- kanban.md (en + zh-Hans): 'Collision hotspots in parallel campaigns'
subsection — the convention, the orchestrator response (2+ flags on one
path => dedicated decomposition card before queuing more work touching
it), and the cross-link to merge-reconciler for conflicts that already
happened.
- merge-reconciler SKILL.md Pitfalls: repeated conflicts on the same file
across rounds are a hotspot signal — flag for decomposition rather than
serially reconciling.
Live-verified: guidance renders once via real import (6152 chars); hotspot
comment round-trips through add_comment -> list_comments -> worker context
on an isolated HERMES_KANBAN_DB; kanban tools, review-surfaces, and
merge-reconciler skill tests green (45 passed).
Design decisions belong to the orchestrator: decide naming schemes,
schemas, file formats, and API shapes before fanning out; never let two
subtree cards decide the same question; stamp every decision into each
dependent card body since workers cannot see sibling context. Mirrored
in the kanban docs (en + zh-Hans) with an exporter/importer worked
example, and bounded KANBAN_GUIDANCE size with an invariant test.
Add a non-terminal "review" status so a worker that finished implementation
can hand off for human review without abusing kanban_block. The old
kanban_block(reason="review-required: ...") convention routed the handoff
through the unblock-loop breaker, so a normal review -> changes -> review
cycle was falsely escalated to triage.
- kanban_db: request_review (running/ready -> review, non-block, emits
review_requested), reopen_review_task (review -> ready/todo, review_reopened),
complete_task accepts review -> done, and a review_dispatch gate (default off,
shared by the dispatcher loop and the gateway health probe).
- kanban_request_review worker tool + `request-review` / `reopen-review` CLI
verbs; tool wired through toolsets, EXPOSED_TOOLS, _POLISHED_TOOLS.
- Gateway notifier wakes the origin subscriber on review_requested and
block_loop_detected; the subscription survives until done/archived, so every
review cycle re-notifies.
- Dashboard PATCH + bulk route the review transitions (request_review /
reopen_review_task) and render the review column.
- goals.py goal-loop and KANBAN_GUIDANCE recognize review as a terminator.
- Docs (reference tables, user guide, AGENTS.md, zh-Hans mirrors) + tests.
needs_input / failed are unchanged: they still route through kanban_block,
still count toward block_recurrences, and still escalate to triage.
The upstream ahujasid/blender-mcp and ahujasid/ableton-mcp GitHub repos
were hijacked on 2026-08-08: the maintainer (@sidahuj) publicly reported
his account was compromised and ownership stripped, and both repos now
redirect to an attacker-controlled org (MCPBlender, created the same
day, pushing new commits since).
Although our catalog pinned blender-mcp==1.6.4 from PyPI (pre-compromise,
sha256 verified unchanged), the server is only half the bridge: the
manifest's post-install instructions and the optional skill directed
users to download addon.py — arbitrary Python executed inside Blender —
from the now-compromised GitHub repo (the raw URL currently 404s, and
the addon ships in no PyPI artifact). There is no trustworthy source
for the addon half, so the entry cannot be installed safely end-to-end.
Removing the catalog entry and skill entirely until the maintainer
confirms account recovery; re-adding is a follow-up PR once upstream
is verified clean.
- optional-mcps/blender/: removed
- optional-skills/creative/blender-mcp/: removed
- docs: catalog rows, sidebar entry, skill pages (en + zh-Hans) removed
- cross-references in unreal-mcp and kanban-video-orchestrator cleaned
Adds skills/autonomous-ai-agents/merge-reconciler — a bundled skill teaching
a neutral third-party agent to resolve git merge conflicts between two
agents' branches: gather both diffs + intents, classify each hunk
(disjoint-intent / same-question-different-answer / superseded), resolve
under an impartiality contract, verify, and hand back a per-hunk summary.
Procedure was live-tested end-to-end against a real conflict fixture.
Includes contract tests (tests/skills/test_merge_reconciler_skill.py) and a
kanban docs cross-reference (en + zh-Hans): assign a third neutral profile a
reconciliation card with both conflicted cards as parents.
Surface the existing planner/worker cost-split capability as an explicit
strategy in the docs:
- delegation.md: new 'Cost strategy: frontier planner, inexpensive workers'
subsection under Model Override, with a config.yaml snippet using the
verified delegation.model / delegation.provider keys, the resolution order
(base_url > provider > inherit parent; model applies in all cases, empty =
inherit), and a note that delegate_task has no per-task model parameter —
quality-sensitive tasks should use kanban's per-task override instead.
- kanban.md: matching 'Cost strategy: frontier orchestrator, inexpensive
workers' subsection using the verified per-profile config mechanism
(dispatcher injects profile-scoped HERMES_HOME at worker spawn) and the
existing per-task model_override (--model/--provider, set-model, dashboard).
- zh-Hans mirrors for both pages.
- cli-config.yaml.example: cost tip comment under the delegation section.
Config resolution was live-verified against tools/delegate_tool.py
(_load_config + _resolve_delegation_credentials) with a temp HERMES_HOME:
delegation.model pins children to the sentinel model; with no delegation
keys, children inherit the parent model and credentials.
Adds 'Handing context to follow-up cards (the parent link)' to the kanban
feature page and a CI-remediation worked example to the tutorial, with
zh-Hans mirrors. Claims live-verified against kanban_db on an isolated
board: create_task creates children of done parents directly in ready,
recompute_ready leaves children of open parents in todo, and
build_worker_context surfaces the parent's completion summary and
metadata under '## Parent task results'.
Explain that schema.description is model-facing while register_tool(description=...) only populates ToolEntry metadata, and remove the duplicated hello-world description in English and zh-Hans docs.
Refs #60735
Co-authored-by: Shiki <132348332+songshikang0111@users.noreply.github.com>
New tests/skills/test_authoring_standards.py parametrizes every bundled +
optional SKILL.md (1148 checks) against the mechanically-verifiable subset
of the hardline standards:
- required frontmatter fields (name/description/version/author/license/
platforms) + tags
- frontmatter name == directory name
- description <= 60 chars, ends with period, no marketing words
- related_skills resolve in-repo
- no machine-local paths
- <= 100k chars
Grandfather dict for legacy debt ships EMPTY — all pre-existing violations
fixed in this PR:
- 13 frontmatter names canonicalized to their directory names (the install
identifier); all related_skills references updated (comfyui -> stable-
diffusion). Fixes the class behind PR #42788's report; also fixes
here.now's invalid dot-name.
- optional-skills/devops/cli -> inference-sh-cli (dir was the generic
'cli'; fm name was right) incl. docs pages (en + zh-Hans), catalog row,
sidebar entry.
- pytorch-fsdp: 157k generated 'Quick Reference' dump moved to
references/common-patterns.md; SKILL.md 159k -> 2.5k with a pointer.
- research-paper-writing: 31.7k Phase 5 drafting section moved to
references/phase5-paper-drafting.md; SKILL.md 103k -> 71k.
Docs regenerated with scope discipline.
Per the 'when in doubt, optional' rule — niche prediction-market data
skill that sees no regular use; belongs alongside stocks in the finance
optional category rather than the default bundle.
Install via: hermes skills install official/finance/polymarket
- website/docs/user-guide/configuration.md (en) and the zh-Hans
translation gain a 'Session Stall Watchdog' section: default 300,
0=disabled, notify-only semantics (never kills the turn — contrast
gateway_timeout), one notification per stall episode, and the exact
stall message text so it is greppable.
- cli-config.yaml.example: the two in-agent compression timeout keys
(compression.context_timeout_seconds /
compression.context_total_ceiling_seconds) are shown as commented
lines next to session_stall_timeout's example for discoverability.
The post-begin_commit() waiter previously called unbounded future.result(),
so the advertised compression.context_total_ceiling_seconds was silently
unenforced for commit-phase hangs. The commit still must complete (abandoning
an in-flight SessionDB mutation would diverge live messages from durable
state), but the wait is now bounded in increments against the remaining
ceiling: on ceiling breach the overrun is logged (WARNING escalating to
ERROR), surfaced once through the user-visible warning channel via the new
on_commit_overrun callback (wired to _emit_warning in run_agent.py), and the
host keeps waiting in bounded slices until the commit finishes.
Documented guarantee (config comment + docs, en/zh): summary phase bounded
by the ceiling; commit phase logged + surfaced if it exceeds it — never
silently hung, never abandoned mid-commit.
Test updated to assert the surfacing fires (previously accepted a silent
over-ceiling wait); adds coverage that a raising overrun callback cannot
break the commit wait.
Once begin_commit() wins, SessionDB mutation cannot be fence-cancelled;
document that context_total_ceiling_seconds covers the summary phase only
and pin the hang-wait contract in tests.
Three mechanisms to detect and notify when gateway sessions stall silently:
1. Mid-turn activity heartbeats stamped to SessionDB so hermes sessions list
and hermes status show progress during long turns without new message rows.
2. Stall watchdog: when a busy session has pending inbound and the shared
activity clock is idle past agent.session_stall_timeout (default 300),
log a WARNING and notify the user once to try /new. Notify-only; does
not kill the turn.
3. Compaction timeout: fenceless compress_context callers get a progress-aware
host budget (compression.context_timeout_seconds default 120 idle,
compression.context_total_ceiling_seconds default 600 ceiling). On timeout,
cancel via commit fence, skip compaction without dropping messages, and
continue the turn.
Closes#72016 (slices 1-3; slice 4 cumulative SSE stream-retry deadline
remains a follow-up).
Cherry-picked from PR #72424 by @fangliquanflq.
Google API and authentication packages permit vulnerable httplib2 and pyasn1
transitives, while the Workspace and Google Chat runtime installers previously
treated any importable version as sufficient. Existing environments could
therefore remain vulnerable after the project dependency pins were repaired.
Carry the fixed versions through the Google and Vertex extras, lazy feature
requirements, lockfile, and both runtime installers. Route the documented
Google Chat installation path through its maintained secure requirements
instead of an unconstrained direct pip command.
Detect stale distributions, install only unsatisfied requirements, and verify
the result before continuing. Behavioral tests cover those repair invariants
without freezing manifests, lockfiles, or complete package sets.
Related #72108
Extracted from #72840
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
Follows PR #75592: the notifier is no longer gated on
kanban.dispatch_in_gateway. Every gateway delivers events for
subscriptions owned by the profiles whose adapters it hosts; legacy
unstamped subscriptions go only through the confirmed dispatcher
lock owner. Adds a 'Multi-profile setups' subsection to the kanban
Gateway notifications docs (en + zh-Hans).
The test runner moved to per-file subprocess isolation via
scripts/run_tests_parallel.py (hermetic `env -i`, worker count auto-scaled
from CPU count, FLAKY-retry policy) — no pytest-xdist, no SIGALRM per-test
timeout fixture. Docs still described the old runner in many places:
- AGENTS.md: "-n auto xdist workers, in-tree subprocess-isolation plugin"
clause replaced with the current per-file-subprocess description; the
`::test_x` single-test example now shows file + -k (runner is
file-granular).
- CONTRIBUTING.md: "hermetic env, 4 xdist workers" comment corrected;
`tests/conftest.py::_enforce_test_timeout` reference redirected to the
win32 timeout-method shim in `tests/conftest.py::pytest_configure`.
- skills/autonomous-ai-agents/hermes-agent/references/contributor-guide.md
and windows-quirks.md: same corrections (the bundled skill mirrors the
contributor docs); Windows workaround no longer installs pytest-xdist
or passes -n 0.
- website/docs + zh-Hans i18n mirrors: same fixes in adding-providers.md
and the bundled-skill doc pages.
- skills/software-development/python-debugpy/SKILL.md (+ zh-Hans mirror):
"-p no:xdist"/"-n 0" pdb advice rewritten for the captured per-file
subprocess runner.
- skills/creative/comfyui/tests/README.md: parent-repo "-n auto by
default" rationale updated to past tense.
Combined salvage of PR #38295 (konsisumer), PR #51354 (TutkuEroglu,
redirected to the current conftest truth and the relocated
references/contributor-guide.md), and PR #54956 (waroffchange).
Co-authored-by: TutkuEroglu <rrandqua@gmail.com>
Co-authored-by: waroffchange <116298975+waroffchange@users.noreply.github.com>
Local faster-whisper called model.transcribe with bare {'beam_size': 5}:
no VAD, cross-window conditioning on, no confidence filtering. Pure
silence produced hallucinated tokens (E2E: 5s anullsrc WAV -> 'You',
no_speech_prob=0.705) and noisy clips could produce runs of junk, often
in other languages.
Three-layer class fix, one shared owner for every local-whisper call
site (build_local_transcribe_kwargs):
1. Silero VAD filter (bundled with faster-whisper) on by default —
silence never reaches the model. stt.local.vad: false restores the
raw behavior for music/ambient transcription.
stt.local.vad_min_silence_ms tunes chunk splitting (default 500).
2. condition_on_previous_text=False — one hallucinated token can no
longer seed a self-reinforcing run; negligible cost for
voice-note-length audio.
3. Segment confidence gate (_join_confident_segments): drop a segment
only when no_speech_prob > 0.6 AND avg_logprob < -1.0 (openai-whisper's
own heuristic shape; both must hit so quiet-but-real speech survives).
Config: stt.local.no_speech_prob_threshold / logprob_threshold.
The WHISPER_HALLUCINATIONS blocklist in voice_mode.py stays as
last-resort defense but should now almost never fire.
E2E (real faster-whisper 'base', CPU int8):
silence.wav before 'You' -> after ''
noise.wav before '' -> after ''
speech.wav before/after 'Hello World, this is a test of the
transcription system.' (unchanged)
Docs (EN + zh-Hans), DEFAULT_CONFIG, cli-config.yaml.example updated;
19 unit tests (kwargs contract, off-switch, confidence gate incl.
quiet-speech survival, _transcribe_local wiring), sabotage-verified.
Andrew Bagrin