Self-learning reviewer edits existing skills via targeted patches: it quotes the exact live text (or appends a section) and the service composes the full body inside the receipt-pinned read that hash-binds the proposal — untouched content survives by construction, and patches auto-apply through the scanner-gated pipeline. Full-body rewrites and oversized-skill edits stay pending for the operator. The review prompt shifts to active capture within the existing evidence gates, and shallow same-sender turns accumulate per session (provider-identity scoped, zero-iteration and duplicate-run contracts honored, aborted provenance carried, bounded state) so quick corrections get reviewed with their own transcripts. Replaces closed#119856.
Deletes the deterministic regex capture path that templated raw chat text into skill proposals (junk like a proposal whose whole procedure was one slugified user message). All autonomous learning now flows through the isolated experience reviewer: it sees a bounded workspace skill list, prefers revising pending proposals or updating the governing skill over creating new ones, and treats durable user corrections as first-class evidence. Update proposals are reviewer-only (explicit opt-in) and never auto-apply, since the reviewer drafts them without the live skill body. Removes the producerless pending-suggestion session machinery. Regression test proves the junk path is gone; real-Telegram E2E verdict in the PR body.
Skill Workshop lifecycle actions now run without an additional Gateway approval by default, while explicit `approvalPolicy: "pending"` keeps the operator approval gate.
Prepared head SHA: 06e907797e
Co-authored-by: Shakker <165377636+shakkernerd@users.noreply.github.com>
Reviewed-by: @shakkernerd
Surfaces skills.workshop.autonomous.enabled in the Control UI Workshop tab:
a Self-learning header toggle plus an enable pitch card on the empty
proposal board. Reads the include-resolved config snapshot, patches the
canonical key over the existing runtimeConfig RFC 7396 merge-patch seam,
and surfaces patch failures in the workshop error banner. Copy states the
token cost and that drafts arrive as pending proposals (no unconditional
review guarantee, which would be false under approvalPolicy "auto").
Splits workshop empty states, header controls, and the self-learning
module out of the oversized page/view files. Locale bundles synced
(fallbacks=0 across 20 locales).
Closes#106054
Tracks per-skill usage from the skill.used diagnostic event (trusted-only
delivery, file-scoped identity), sweeps workshop-created skills daily from
gateway maintenance (active -> stale 30d -> archived 90d, pinned bypass,
restore-only unarchive, files never touched), filters archived skills from
snapshots fail-open, reports workspace-scoped overlap candidates, and adds
openclaw skills curator CLI, additive gateway methods, and a warn-only
doctor finding. Zero new config keys; SQLite/Kysely state only.
Reactive corrections ("that's not what I asked", "stop doing X") now
count as durable signals: expanded extraction patterns, vocabulary
routing to existing workspace skills, per-skill grouping. Both capture
modes share one invariant: a bounded signal-fingerprint ring on the
session entry prevents replaying applied/rejected corrections, pending
autocapture-owned proposals are revised instead of skipped, /learn-style
turns suppress duplicate agent-end capture, and extraction runs before
any skill discovery. Autonomy off keeps the suggest-tier offer; autonomy
on files/revises proposals directly.
Co-authored-by: Peter Steinberger <steipete@gmail.com>
Adds the middle tier between capture-off and autonomous capture: when
autonomy is disabled, detected durable-instruction signals record a
one-shot pendingSkillSuggestion on the session entry (signal-hash
fingerprint prevents transcript-history replay), and the next
non-heartbeat turn atomically consumes it and injects one bounded
user-role line offering to save the skill. The agent offers, the user
decides; skill_workshop approval flow unchanged; no new config.
* feat(skills): diagnose skill_workshop hidden by tool policy (#87570)
Workshop can be enabled and auto-capturing while tools.profile hides the
skill_workshop tool; every inspection surface looked healthy. plugins
inspect and openclaw doctor now name the excluding policy layer (global/
agent/provider profile, allowlist, denylist) and the exact alsoAllow
grant to add, via a shared resolveSkillWorkshopToolPolicyAvailability
helper that /learn's guard now reuses instead of composing policy
itself. Diagnosis only; no policy behavior change.
* ci: retrigger
Approval wait now fits inside the Codex dynamic-tool watchdog (70s +10s
gateway grace under the 90s kill), approval cards carry proposal id,
skill name, description, file count, and body size (spoof-safe
rendering), and timeouts return a structured pending-not-failed outcome
instead of a bare error. Expired requests cannot execute late; no
auto-apply; generic plugin approvals unchanged.
* feat(commands): add /learn to draft skills from recent work (#100408)
/learn rewrites the turn into a standards-guided Skill Workshop authoring
instruction: the agent gathers named sources (or distills the current
conversation) and files ONE pending skill proposal via skill_workshop.
Approval flow unchanged; sandboxed/tool-restricted agents get a clear
unavailable reply. Extracts the harness OpenClaw-tools predicate into
shared helpers and reserves the command name against plugin shadowing.
* docs: regenerate docs map for /learn section
Ayaan Zaidi