# Studio Goal Progress > Use when a KIT-managed Codex or Hermes Goal needs evidence-backed percentage, ETA range, live read-only progress views, or portable append-only progress recovery. - Skill: `hoatv2211/studio-goal-progress` (Agent Skill, multi-file: 14 files) - Install (CLI): `npx skillmds@latest add hoatv2211/studio-goal-progress` - Raw SKILL.md: https://api.skillmd.com/api/skills/hoatv2211/studio-goal-progress/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - License: MIT - Author: hoatv2211 (https://skillmd.com/u/hoatv2211) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/hoatv2211/studio-goal-progress --- # Studio Goal Progress ## Overview Operate an explicitly opted-in KIT Goal from one portable append-only event stream. Percentage is verified weighted work; ETA is a separate range and confidence forecast. Compact and full GUI views read the same reduced state and never control the Goal. ## When to use Use to preflight or initialize an explicit KIT-managed Goal, append a meaningful workflow event, recover current state from `progress.jsonl`, report verified percentage and ETA, or handle an operator request to `Open Progress`. ## When NOT to use Do not use for arbitrary Codex tasks, packet planning, speculative progress, durable session transfer, or automatic dashboard opening. Route packet construction to `feature-to-work-packets` and durable transfer to `studio-handoff`. ## Required inputs and context discovery Require an explicit Goal opt-in, one goal ID, repository root and snapshot, plan version, scope and do-not-touch paths, ordered packets, final verification requirements, and `max_active_timed_packets: 1`. Runtime bindings are optional; declared bindings must identify a Codex thread or Hermes session. Every packet requires `workflow_id`, owner, positive integer `progress_weight`, dependencies, completion criteria, evidence kinds, and may omit or null its low/high duration estimate. ## Safety and risk level The helpers write only beneath the selected ignored goal root. Run `preflight` before `init`. Because `init` may launch a detached private writer runtime, obtain explicit service-start approval immediately before invoking it; Goal opt-in and a passing preflight are not approval. One writer appends validated events; workflows submit candidates instead of editing JSONL. GUI, context, and handoff consumers are read-only. Never expose raw logs, unrestricted paths, credentials, runtime keys, reusable session tokens, or mutation controls. Browser or panel opening separately requires an explicit `Open Progress` request. ## Workflow 1. Confirm explicit KIT Goal participation and run report-only `preflight` against the manifest and bounded goal root before initialization. Completion criterion: schema, root, snapshot, packet ownership, positive weights, dependencies, required evidence, any declared runtime bindings, and timing policy are valid; otherwise initialization is `BLOCKED`. 2. Immediately before `init`, obtain explicit approval to start or reuse the private writer service, then initialize one goal-local writer from the accepted preflight inputs. Do not open a GUI. Completion criterion: without immediate service-control approval initialization remains `BLOCKED`; with approval, `goal.started` is accepted into `progress.jsonl`, reduced state is reproducible, and the Goal remains separate from other local sessions. 3. Submit candidate events only at meaningful boundaries: Goal start, packet transition, evidence observation, plan revision, context refresh, terminal state, or an explicitly bounded heartbeat for a long operation. Completion criterion: ordinary commentary, elapsed wall time, raw tool output, and optional runtime observations never become completion evidence. 4. Reduce the full append-only stream and calculate percentage from verified weight divided by active planned weight. Recalculate on approved plan revision without changing retained verified weight. Completion criterion: packet verification cites accepted matching `Verified` evidence, incomplete Goals display below 100%, and replay restores current state. 5. Calculate ETA as a low/high seconds range with basis, calibration, confidence, and warnings. Missing estimates return `Calculating...`; `waiting_input`, `blocked`, or stale state pauses ETA; unsupported parallel timing is `BLOCKED`. Completion criterion: ETA remains forecast rather than evidence and no inactive time or commentary implies completion. 6. On `Open Progress`, accept an explicit goal root, or first resolve one unique nonterminal Goal from the caller's declared manifest runtime binding before repository-level ambiguity fallback. Reuse a healthy authenticated dashboard runtime without new service approval. Starting a stopped or missing runtime requires immediate explicit service-control approval. Python returns one one-time localhost URL and separate server, panel, and browser statuses; it never invokes UI or browser APIs. After URL generation, the host agent uses its panel tool when available, otherwise instructs the operator to open the URL manually. Completion criterion: one top-level one-time URL, host-panel instruction, manual-browser instruction, and independent integration statuses are returned without reusable credentials; ambiguous selection, missing service approval, failed server start, unavailable panel/browser, or unavailable App Server is labeled `BLOCKED` while portable progress remains usable. 7. At terminal completion, require every active packet and every final verification requirement to have accepted matching evidence, then return a final evidence card. Completion criterion: the card records goal ID, plan version, verified percentage, ETA status, event and reduced-state artifacts, commands and exit codes, integration limitations, evidence labels, final verdict, and next action. ## Evidence and output contract Treat `progress.jsonl` as sole canonical recovery authority; `goal.json`, `state.json`, context files, runtime descriptors, and GUI output are derived. Report Goal state, verified and planned weights, exact percentage, display percentage, ETA status/range/confidence, current packet, latest evidence, next action, staleness, warnings, integration status, and artifact paths. Missing authority or evidence is `BLOCKED`, never simulated `PASS`. ## Handoff contract Record goal root, manifest hash, plan version, last accepted sequence, current packet, verified weights, ETA status, relevant commands, integration blockers, and next action. Use `studio-handoff` for durable cross-session transfer. ## Pitfalls and anti-rationalization - “Work feels almost done” is not verified weight. - “It has run for an hour” is not percentage or evidence. - Missing packet weights do not justify equal-weight defaults. - App Server failure does not invalidate the portable KIT stream, but enrichment remains `BLOCKED`. - Goal opt-in and preflight do not authorize `init`; service approval is required immediately before that command. - `Open Progress` never invokes a panel or browser from Python. It reuses a healthy runtime, and starts a missing runtime only with immediate explicit service-control approval; neither path authorizes Goal mutation or reusable token disclosure. ## Verification checklist - [ ] Explicit Goal opt-in and preflight preceded initialization, with separate service approval immediately before `init`. - [ ] Packets have positive weights and matching evidence requirements. - [ ] Only meaningful-boundary events were submitted through one writer. - [ ] Percentage comes only from verified active weight. - [ ] ETA is a labeled range or honest Calculating, Paused, or BLOCKED state. - [ ] GUI opening was manual and views remain read-only. - [ ] Final evidence card separates Verified, Snapshot, Unverified, and BLOCKED facts. ## References and scripts Load [commands and interpretation](references/commands.md) before running helpers. The standalone skill bundles `scripts/goal_progress.py`, `scripts/goal_progress_core.py`, `scripts/goal_progress_store.py`, `scripts/goal_progress_server.py`, and `scripts/goal_progress_app_server.py` together with the Goal manifest, event, state, and context projection schemas.